AI agent applied to real business processes, with automation, integrations, human oversight, and traceability.

Automation OS


We connect data, teams, documents, and actions into an AI-assisted operating system, built for greater control, less wasted time, and clearer processes.

Request an analysis and you’ll have a 60-minute discussion with Blacksquare experts.

Request the analysis

Business for Next

Request a free analysis of your processes

We assess the processes worth orchestrating through Automation OS and define the governance conditions: thresholds, approvals, audit, and permissions. The result: a clear proposal for automatable workflows and a realistic implementation plan, built on a secure infrastructure with SSO/RBAC, encrypted secrets, and version control.

Request an analysis and you’ll have a 60-minute discussion with Blacksquare experts.

We automatically send an email with three meeting options, including the date and time.

We evaluate the processes that can be orchestrated through Automation OS: tasks, approvals, audit, and permissions. The result: a clear implementation proposal on a secure infrastructure (SSO/RBAC, secret management, and monitoring).

Use Cases by Domain

What do you receive after the analysis?

▹ Mini-backlog of 5–10 prioritized steps (quick wins + what is worth automating).

▹ Clear prioritization by step

We establish what to do first, what comes next, and what depends on other stages.

▹ Effort and complexity estimate

We show you how simple or difficult each workflow is to implement.

▹ Mapping of applications, data, and responsibilities

We identify which tools are used, what data enters the workflow, and who approves or executes each step.

▹ Recommendation for AI and automation

We show where AI can be involved, what can be automated, and where human oversight remains necessary.

Minutes & conclusions

Optimized Workflows

Recommended Integrations & Technology Stack

Scope of Work, Effort & Pricing

You automatically receive the meeting minutes, including a summary of the discussion, the priority workflows, existing applications, and the agreed directions for the next step.

We propose the workflows worth building first and how to optimize them compared to the current process. We do not start from scratch if there is already a useful stack or logic in place; instead, we build on what exists and remove bottlenecks, redundancies, and fragile steps.

We map the existing applications and define how they connect within the target model. If the current stack can be preserved, we use it; if there are limitations, we propose alternatives and a better architecture, without locking the business logic into a single vendor.

Within a maximum of four days, you will receive a clear Scope of Work outlining priorities, integrations, estimated effort, and pricing. The document turns the discussion into a realistic implementation plan, not a vague proposal.

Minutes & conclusions

You automatically receive the meeting minutes, including a summary of the discussion, the priority workflows, existing applications, and the agreed directions for the next step.

Optimized Workflows

We propose the workflows worth building first and how to optimize them compared to the current process. We do not start from scratch if there is already a useful stack or logic in place; instead, we build on what exists and remove bottlenecks, redundancies, and fragile steps.

Recommended Integrations & Technology Stack

We map the existing applications and define how they connect within the target model. If the current stack can be preserved, we use it; if there are limitations, we propose alternatives and a better architecture, without locking the business logic into a single vendor.

Scope of Work, Effort & Pricing

Within a maximum of four days, you will receive a clear Scope of Work outlining priorities, integrations, estimated effort, and pricing. The document turns the discussion into a realistic implementation plan, not a vague proposal.

Request the analysis

Business for Next

Request a free analysis of your processes

We assess the processes worth orchestrating through Automation OS and define the governance conditions: thresholds, approvals, audit, and permissions. The result: a clear proposal for automatable workflows and a realistic implementation plan, built on a secure infrastructure with SSO/RBAC, encrypted secrets, and version control.

Request an analysis and you’ll have a 60-minute discussion with Blacksquare experts.

We automatically send an email with three meeting options, including the date and time.

We evaluate the processes that can be orchestrated through Automation OS: tasks, approvals, audit, and permissions. The result: a clear implementation proposal on a secure infrastructure (SSO/RBAC, secret management, and monitoring).

Operational Workflows by Industry

The workflows below show how we activate Automation OS based on existing processes, data sources, and business priorities. We do not start from isolated automations, but from a clear operational model: we unify data, apply explicit rules, orchestrate actions, and maintain control over execution. Each domain can be implemented incrementally, adapted to the existing stack, and extended without rebuilding the system from scratch.

Use Cases

Contabilitate operațională, documente și relația cu clientul orchestrate într-un sistem asistat de AI

Automation OS conectează canalele prin care intră documentele și solicitările, instrumentele de lucru ale echipei și aplicațiile folosite pentru contabilitate și declarații. AI clasifică informația și pregătește acțiunile necesare, iar n8n orchestrează task-uri, statusuri, remindere, notificări și documente, astfel încât fiecare client să poată fi urmărit cap-coadă, cu control uman în punctele sensibile.

Poate recupera aproximativ 2.450–3.220 EUR/lună valoare operațională ajustată într-un scenariu de birou de contabilitate cu 20 de clienți și aproximativ 3.000 de documente/lună.

Poate elibera aproximativ 200 de ore/lună doar din preluarea, OCR-ul, clasificarea și organizarea documentelor.

Reduce costul operațional ascuns din activitățile repetitive care însoțesc procesul contabil.

Crește capacitatea echipei de a gestiona mai mulți clienți fără o creștere proporțională de personal.

Reduce timpul consumat cu documente lipsă, follow-up, organizare, taskuri și notificări.

Lasă mai mult timp contabililor pentru verificare, analiză și relația cu clientul, nu pentru operațiuni administrative.

Reduce riscul de documente pierdute, taskuri omise și termene ratate.

Scade numărul de verificări și transferuri manuale între e-mail, foldere, aplicații și registre separate.

Crește trasabilitatea: ce s-a primit, ce lipsește, cine lucrează, ce este blocat și ce trebuie rezolvat.

Oferă managementului vizibilitate mai bună asupra întregului portofoliu de clienți.

Face procesul de închidere și raportare mai predictibil, cu excepțiile vizibile înainte să devină blocaje.

Susține scalarea biroului de contabilitate fără ca volumul operațional să crească în același ritm cu numărul de clienți.

Colectare documente și pregătirea lunii contabile

Solicitări clienți, tasking și timpi de răspuns

Declarații, recipise și obligații de plată

Închidere de lună, raportare și facturare

Context: În multe firme de contabilitate, documentele nu vin într-un singur loc. Unele ajung pe e-mail, altele pe WhatsApp, în Google Drive, Dropbox sau într-un portal, iar o parte pot veni în continuare fizic. Echipa trebuie apoi să identifice clientul, perioada, tipul documentului și să urmărească separat ce lipsește.

Context: Un client poate cere o balanță, o fișă, o adeverință, o explicație, o corecție sau statusul unei declarații. Solicitările vin pe e-mail, WhatsApp sau direct către contabilul care gestionează firma. Când volumul crește, devine dificil de urmărit ce a intrat, cine răspunde, ce este urgent și ce a rămas nerezolvat.

Context: În perioadele aglomerate, o firmă de contabilitate poate gestiona sute de declarații. Fișierele sunt generate în programul contabil, trebuie asociate clientului și perioadei corecte, verificate, depuse, urmărite până la recipisă și apoi corelate cu obligațiile de plată. O schimbare de vector fiscal sau o declarație lipsă poate transforma verificarea într-un proces manual lung.

Context: După procesarea documentelor și depunerea declarațiilor, începe un alt volum de muncă: verificarea statusului fiecărui client, pregătirea rapoartelor, comunicarea sumelor, urmărirea serviciilor suplimentare și facturarea. În multe firme, informațiile sunt încă preluate din mai multe aplicații și consolidate manual în Excel, e-mailuri sau rapoarte interne.

What it does: Fluxul monitorizează canalele digitale existente, identifică automat clientul și tipul documentului și îl direcționează către structura corectă de lucru. Registrul clientului este actualizat automat cu ceea ce a fost primit, iar dacă la data stabilită lipsesc documente necesare, sistemul poate genera remindere și marca excepțiile în dashboard. Nu este obligatoriu ca firma să schimbe modul în care clienții trimit documentele: automatizarea poate fi construită peste infrastructura deja folosită.

Stack implicit: Gmail sau Microsoft Outlook pentru e-mail, Google Drive, Dropbox, SharePoint sau server local pentru documente, portal dedicat, OCR pentru extragerea informațiilor din documente, AI pentru identificare și clasificare, Jira, Asana, Monday sau alt sistem de project management pentru taskuri, ownership și deadline-uri, n8n pentru orchestrarea fluxului și un registru operațional sau o bază de date pentru statusurile pe client.

Control & Impact: Reduce mutările manuale de fișiere, verificările repetitive și riscul ca un document să rămână într-un inbox sau într-un folder greșit. Excepțiile pot fi trimise către contabil pentru validare, iar istoricul acțiunilor rămâne urmărit. Rezultatul este un proces de colectare mai predictibil, fără ca firma să fie obligată să își schimbe complet instrumentele sau comportamentul clienților.

What it does: AI-ul identifică solicitarea, clientul și tipul cererii, iar n8n creează automat un caz sau un task și îl atribuie persoanei potrivite. Solicitările simple pot fi rutate către un rol de suport sau către un junior, iar cele care necesită analiză pot ajunge direct la senior. Sistemul urmărește timpul până la primul răspuns și până la rezolvare, poate trimite alerte când un termen este depășit și poate pregăti răspunsul sau documentele necesare înainte de validarea contabilului.

Stack implicit: Gmail sau Outlook pentru comunicare, WhatsApp Business acolo unde integrarea este oportună, Jira, Asana, Monday sau un modul propriu de tasking pentru execuție, AI pentru clasificare și sumarizare, n8n pentru rutare, notificări și sincronizarea statusurilor, plus un dashboard pentru raportare.

Control & Impact: Fiecare solicitare capătă un status, un responsabil și un istoric. Managementul poate vedea volumul de solicitări pe client, timpii de răspuns și blocajele, fără să urmărească manual fiecare inbox. În același timp, solicitările suplimentare pot fi înregistrate separat, astfel încât serviciile efectuate în afara abonamentului să nu se piardă la facturarea de final de lună.

What it does: Automation OS poate prelua fișierele generate de aplicația contabilă, le identifică după client, CUI și perioadă și le corelează cu declarațiile așteptate. Sistemul poate verifica statusurile, semnala declarațiile lipsă sau erorile, urmări recipisele și extrage sumele de plată. După validare, poate pregăti notificarea către client, ordinele de plată sau celelalte documente necesare. Acolo unde integrarea tehnică permite, fluxul poate continua automat între aplicații; în punctele sensibile poate exista un approval gate înainte de depunere sau transmitere.

Stack implicit: SAGA, SAGA Web sau alte aplicații contabile pentru generarea datelor, TDEC, Tigris, Simplu SPV sau alte instrumente folosite pentru declarații și verificări, SPV/ANAF pentru statusuri și documente, server local sau cloud pentru fișiere, n8n pentru orchestrare și un registru central pentru monitorizarea declarațiilor pe fiecare client.

Control & Impact: Scopul nu este eliminarea controlului contabilului, ci eliminarea operațiunilor repetitive din jurul deciziei contabile. Validarea finală poate rămâne la om, în timp ce sistemul urmărește dacă o declarație lipsește, dacă există o eroare, dacă recipisa a fost primită sau dacă obligația de plată a fost comunicată. Astfel, echipa intervine acolo unde există o excepție, nu verifică manual fiecare client în parte.

What it does: Automation OS agregă statusurile într-un dashboard unic: documente primite, contabilitate primară, verificare, declarații, recipise, obligații comunicate și eventualele excepții. Pentru raportarea către client, sistemul poate pregăti automat cifrele, anexele și structura mesajului, lăsând contabilului interpretarea și comentariile profesionale. Solicitările suplimentare executate în timpul lunii pot alimenta un registru de servicii, iar la finalul perioadei pot fi pregătite automat factura recurentă, serviciile suplimentare și raportul aferent.

Stack implicit: Dashboard sau portal personalizat pentru vizibilitate, exporturi din aplicația contabilă și din sistemele de declarații, Google Sheets sau bază de date pentru registrul operațional, FGO, SmartBill sau alte aplicații de facturare acolo unde sunt folosite, AI pentru structurarea informației și n8n pentru consolidare, documente, notificări și integrarea sistemelor.

Control & Impact: Managementul vede într-un singur loc unde se află fiecare client și unde există risc de întârziere. Contabilul nu cedează AI-ului interpretarea profesională a balanței sau decizia contabilă: sistemul pregătește informația, iar omul o validează și o interpretează. În același timp, scade volumul de copy-paste, se reduc serviciile omise de la facturare și procesul de închidere devine mai ușor de urmărit și de scalat.

Colectare documente și pregătirea lunii contabile

Context: În multe firme de contabilitate, documentele nu vin într-un singur loc. Unele ajung pe e-mail, altele pe WhatsApp, în Google Drive, Dropbox sau într-un portal, iar o parte pot veni în continuare fizic. Echipa trebuie apoi să identifice clientul, perioada, tipul documentului și să urmărească separat ce lipsește.

What it does: Fluxul monitorizează canalele digitale existente, identifică automat clientul și tipul documentului și îl direcționează către structura corectă de lucru. Registrul clientului este actualizat automat cu ceea ce a fost primit, iar dacă la data stabilită lipsesc documente necesare, sistemul poate genera remindere și marca excepțiile în dashboard. Nu este obligatoriu ca firma să schimbe modul în care clienții trimit documentele: automatizarea poate fi construită peste infrastructura deja folosită.

Stack implicit: Gmail sau Microsoft Outlook pentru e-mail, Google Drive, Dropbox, SharePoint sau server local pentru documente, portal dedicat, OCR pentru extragerea informațiilor din documente, AI pentru identificare și clasificare, Jira, Asana, Monday sau alt sistem de project management pentru taskuri, ownership și deadline-uri, n8n pentru orchestrarea fluxului și un registru operațional sau o bază de date pentru statusurile pe client.

Control & Impact: Reduce mutările manuale de fișiere, verificările repetitive și riscul ca un document să rămână într-un inbox sau într-un folder greșit. Excepțiile pot fi trimise către contabil pentru validare, iar istoricul acțiunilor rămâne urmărit. Rezultatul este un proces de colectare mai predictibil, fără ca firma să fie obligată să își schimbe complet instrumentele sau comportamentul clienților.

Solicitări clienți, tasking și timpi de răspuns

Context: Un client poate cere o balanță, o fișă, o adeverință, o explicație, o corecție sau statusul unei declarații. Solicitările vin pe e-mail, WhatsApp sau direct către contabilul care gestionează firma. Când volumul crește, devine dificil de urmărit ce a intrat, cine răspunde, ce este urgent și ce a rămas nerezolvat.

What it does: AI-ul identifică solicitarea, clientul și tipul cererii, iar n8n creează automat un caz sau un task și îl atribuie persoanei potrivite. Solicitările simple pot fi rutate către un rol de suport sau către un junior, iar cele care necesită analiză pot ajunge direct la senior. Sistemul urmărește timpul până la primul răspuns și până la rezolvare, poate trimite alerte când un termen este depășit și poate pregăti răspunsul sau documentele necesare înainte de validarea contabilului.

Stack implicit: Gmail sau Outlook pentru comunicare, WhatsApp Business acolo unde integrarea este oportună, Jira, Asana, Monday sau un modul propriu de tasking pentru execuție, AI pentru clasificare și sumarizare, n8n pentru rutare, notificări și sincronizarea statusurilor, plus un dashboard pentru raportare.

Control & Impact: Fiecare solicitare capătă un status, un responsabil și un istoric. Managementul poate vedea volumul de solicitări pe client, timpii de răspuns și blocajele, fără să urmărească manual fiecare inbox. În același timp, solicitările suplimentare pot fi înregistrate separat, astfel încât serviciile efectuate în afara abonamentului să nu se piardă la facturarea de final de lună.

Declarații, recipise și obligații de plată

Context: În perioadele aglomerate, o firmă de contabilitate poate gestiona sute de declarații. Fișierele sunt generate în programul contabil, trebuie asociate clientului și perioadei corecte, verificate, depuse, urmărite până la recipisă și apoi corelate cu obligațiile de plată. O schimbare de vector fiscal sau o declarație lipsă poate transforma verificarea într-un proces manual lung.

What it does: Automation OS poate prelua fișierele generate de aplicația contabilă, le identifică după client, CUI și perioadă și le corelează cu declarațiile așteptate. Sistemul poate verifica statusurile, semnala declarațiile lipsă sau erorile, urmări recipisele și extrage sumele de plată. După validare, poate pregăti notificarea către client, ordinele de plată sau celelalte documente necesare. Acolo unde integrarea tehnică permite, fluxul poate continua automat între aplicații; în punctele sensibile poate exista un approval gate înainte de depunere sau transmitere.

Stack implicit: SAGA, SAGA Web sau alte aplicații contabile pentru generarea datelor, TDEC, Tigris, Simplu SPV sau alte instrumente folosite pentru declarații și verificări, SPV/ANAF pentru statusuri și documente, server local sau cloud pentru fișiere, n8n pentru orchestrare și un registru central pentru monitorizarea declarațiilor pe fiecare client.

Control & Impact: Scopul nu este eliminarea controlului contabilului, ci eliminarea operațiunilor repetitive din jurul deciziei contabile. Validarea finală poate rămâne la om, în timp ce sistemul urmărește dacă o declarație lipsește, dacă există o eroare, dacă recipisa a fost primită sau dacă obligația de plată a fost comunicată. Astfel, echipa intervine acolo unde există o excepție, nu verifică manual fiecare client în parte.

Închidere de lună, raportare și facturare

Context: După procesarea documentelor și depunerea declarațiilor, începe un alt volum de muncă: verificarea statusului fiecărui client, pregătirea rapoartelor, comunicarea sumelor, urmărirea serviciilor suplimentare și facturarea. În multe firme, informațiile sunt încă preluate din mai multe aplicații și consolidate manual în Excel, e-mailuri sau rapoarte interne.

What it does: Automation OS agregă statusurile într-un dashboard unic: documente primite, contabilitate primară, verificare, declarații, recipise, obligații comunicate și eventualele excepții. Pentru raportarea către client, sistemul poate pregăti automat cifrele, anexele și structura mesajului, lăsând contabilului interpretarea și comentariile profesionale. Solicitările suplimentare executate în timpul lunii pot alimenta un registru de servicii, iar la finalul perioadei pot fi pregătite automat factura recurentă, serviciile suplimentare și raportul aferent.

Stack implicit: Dashboard sau portal personalizat pentru vizibilitate, exporturi din aplicația contabilă și din sistemele de declarații, Google Sheets sau bază de date pentru registrul operațional, FGO, SmartBill sau alte aplicații de facturare acolo unde sunt folosite, AI pentru structurarea informației și n8n pentru consolidare, documente, notificări și integrarea sistemelor.

Control & Impact: Managementul vede într-un singur loc unde se află fiecare client și unde există risc de întârziere. Contabilul nu cedează AI-ului interpretarea profesională a balanței sau decizia contabilă: sistemul pregătește informația, iar omul o validează și o interpretează. În același timp, scade volumul de copy-paste, se reduc serviciile omise de la facturare și procesul de închidere devine mai ușor de urmărit și de scalat.

Poate recupera aproximativ 2.450–3.220 EUR/lună valoare operațională ajustată într-un scenariu de birou de contabilitate cu 20 de clienți și aproximativ 3.000 de documente/lună.

Poate elibera aproximativ 200 de ore/lună doar din preluarea, OCR-ul, clasificarea și organizarea documentelor.

Reduce costul operațional ascuns din activitățile repetitive care însoțesc procesul contabil.

Crește capacitatea echipei de a gestiona mai mulți clienți fără o creștere proporțională de personal.

Reduce timpul consumat cu documente lipsă, follow-up, organizare, taskuri și notificări.

Lasă mai mult timp contabililor pentru verificare, analiză și relația cu clientul, nu pentru operațiuni administrative.

Reduce riscul de documente pierdute, taskuri omise și termene ratate.

Scade numărul de verificări și transferuri manuale între e-mail, foldere, aplicații și registre separate.

Crește trasabilitatea: ce s-a primit, ce lipsește, cine lucrează, ce este blocat și ce trebuie rezolvat.

Oferă managementului vizibilitate mai bună asupra întregului portofoliu de clienți.

Face procesul de închidere și raportare mai predictibil, cu excepțiile vizibile înainte să devină blocaje.

Susține scalarea biroului de contabilitate fără ca volumul operațional să crească în același ritm cu numărul de clienți.

Request the analysis

Business for Next

Request a free analysis of your processes

We assess the processes worth orchestrating through Automation OS and define the governance conditions: thresholds, approvals, audit, and permissions. The result: a clear proposal for automatable workflows and a realistic implementation plan, built on a secure infrastructure with SSO/RBAC, encrypted secrets, and version control.

Request an analysis and you’ll have a 60-minute discussion with Blacksquare experts.

We automatically send an email with three meeting options, including the date and time.

We evaluate the processes that can be orchestrated through Automation OS: tasks, approvals, audit, and permissions. The result: a clear implementation proposal on a secure infrastructure (SSO/RBAC, secret management, and monitoring).

Use Cases

AI-assisted operating system for recruitment, onboarding, and employee lifecycle orchestration.

Automation OS captures applications from the client's careers portal and orchestrates candidate intake, interviews, AI-assisted evaluation, document management, electronic signatures, access provisioning, and post-hire operational continuity within a unified, measurable, and controlled workflow.

Can recover approximately €2,673/month in adjusted operational value in a scenario with 5 hires per month.

Reduces hidden operational costs in recruitment and onboarding.

Reduces the time HR spends on repetitive administrative tasks.

Increases the HR team's capacity to handle high volumes of applications.

Reduces delays between application, interview, offer, and hiring.

Protects the candidate pipeline through a faster and more transparent process.

Reduces the risk of losing strong candidates due to slow follow-up.

Provides management with better visibility into the recruitment funnel.

Supports faster onboarding with fewer administrative bottlenecks.

Contextual Application & Operational Intake

AI-Assisted Interviews & Structured Evaluation

Documents, Electronic Signatures & Access Provisioning

Employee Lifecycle & Management Reporting

Context: In many companies, the process starts off fragmented: generic forms, context-free CVs, applications sent by email or stored across different locations, followed by significant manual effort to determine who applied, for which role, and with what relevant information. At the same time, the candidate experience should remain consistent with the company's brand, rather than being disconnected from the website and careers portal.

Context: One of the biggest friction points occurs between screening, interview scheduling, discussion documentation, and the final decision. Without a shared framework, interviews remain isolated meetings, notes get lost, and evaluation depends too heavily on memory, personal style, or follow-up email exchanges.

Context: After a candidate is accepted, many companies enter a heavy administrative phase: manually generated documents, validations handled by email, signatures tracked across multiple places, and access activations that remain blocked between HR, management, and IT. This is where delays, omissions, and hidden operational costs often appear.

Context: In many organizations, the process effectively stops at the contract. After hiring, other requests, documents, approvals, and administrative interactions arise, often managed across different systems or even informally. The result is a lack of continuity and an operational relationship with the employee that generates unnecessary costs and limited management visibility.

What it does: The workflow starts from a careers portal integrated into the client’s website and visually customized to match their brand. The candidate views the available positions and completes a contextual form that varies depending on the role. After submission, the application is automatically captured in the system, creating the candidate entity, document file, operational registry, and internal notifications, so the process begins in a structured way without scattered manual handling.

Stack Involved: Careers portal customized to the client's brand. n8n for orchestration, MySQL or another source of truth for candidate data, Google Drive or another document repository, Google Sheets or another operational registry, Gmail or another notification channel, plus an AI assistant / GPT for contextual support where needed. Apart from the portal, the stack is indicative and can be adapted to the client’s existing applications, as long as they allow integration through APIs or standard connection methods.

Control & Impact: It creates a single entry point for all applications and reduces errors from the very first stage. As a result, the company starts with higher-quality data, presents a more consistent candidate experience, and gains an operational foundation that is much easier to monitor and scale.

What it does: The system proposes and orchestrates interview slots, automatically creates events and meeting links, then archives the transcript and meeting minutes through Fathom or a similar system. In parallel, AI can support the technical interview with standardized role-based questions, response classification, preliminary scoring, and an evaluation summary. The process remains controlled: AI structures and accelerates the evaluation, while the final decision stays explicit and in the hands of the right person.

Stack Involved: Google Calendar / Meet or another scheduling system, Gmail or another communication channel, Fathom or another tool for transcripts and summaries, AI assistant / GPT for questions, scoring, and summaries, n8n for orchestration, and Jira or another system of work for follow-up and evaluation tasks. The stack presented is indicative and can be replaced with the client’s existing applications, provided they offer similar integration and operational control.

Control & Impact: It reduces the time to interview, eliminates unnecessary email exchanges, and turns every conversation into structured input for evaluation and decision-making. At the same time, it keeps the process auditable, consistent, and easier to scale without removing human oversight.

What it does: After the candidate is validated, the system generates the employment documents from templates, automatically fills in the placeholders, prepares the package for validation, and sends it for electronic signature. The workflow then tracks the callback, polling, reminders, archiving of signed documents, and the data completed by the candidate. After signing and validation, access provisioning is triggered, with internal tasks, notifications, and status updates, so the transition from candidate to active employee no longer depends on manual follow-up.

Stack Involved: n8n for orchestration, a document generator and AI assistant / GPT for contextual support where useful, Google Drive or another document repository, Jira or another system of work for tasks and ownership, Gmail or another notification channel, eSemneaza or another electronic signature provider, and the internal access management systems used by the client. The stack is indicative and can be adapted to the existing infrastructure while preserving the same logic for control, validation, and audit.

Control & Impact: It connects document generation, electronic signing, and access provisioning into a single, coherent, configurable, and auditable workflow. As a result, the company reduces administrative effort, minimizes the risk of bottlenecks, and gains clear visibility into which documents are ready, which are awaiting signature, and where the process requires intervention.

What it does: The same framework continues after hiring. The portal remains useful for sent and received documents, employment certificates, leave requests, administrative requests, and other formal interactions between the employee and the company. At the same time, management gains visibility through reports such as Recruitment Funnel, Time-to-Hire / Time-to-Activate, Documents & eSignature, AI Interview Scoring, Access Activation, and Employee Requests Overview, making the process measurable end to end rather than executed in fragments.

Stack Involved: Careers portal customized to the client's brand. n8n for orchestration, Jira or another system of work for task management and ownership, a document repository, email and calendar for context and communication, AI assistant / GPT for summarization, classification, or contextual support, and the required data sources for reporting and management visibility. Apart from the portal, the stack can be adapted to the client’s existing applications, as long as they provide standard integration methods and operational control.

Control & Impact: It connects recruitment, onboarding, and post-hire operations into a single coherent, measurable, and auditable system. As a result, the company optimizes not only the recruitment process, but the entire operational cost of the employee relationship, with less manual work, fewer bottlenecks, and better management control.

Contextual Application & Operational Intake

Context: In many companies, the process starts off fragmented: generic forms, context-free CVs, applications sent by email or stored across different locations, followed by significant manual effort to determine who applied, for which role, and with what relevant information. At the same time, the candidate experience should remain consistent with the company's brand, rather than being disconnected from the website and careers portal.

What it does: The workflow starts from a careers portal integrated into the client’s website and visually customized to match their brand. The candidate views the available positions and completes a contextual form that varies depending on the role. After submission, the application is automatically captured in the system, creating the candidate entity, document file, operational registry, and internal notifications, so the process begins in a structured way without scattered manual handling.

Stack Involved: Careers portal customized to the client's brand. n8n for orchestration, MySQL or another source of truth for candidate data, Google Drive or another document repository, Google Sheets or another operational registry, Gmail or another notification channel, plus an AI assistant / GPT for contextual support where needed. Apart from the portal, the stack is indicative and can be adapted to the client’s existing applications, as long as they allow integration through APIs or standard connection methods.

Control & Impact: It creates a single entry point for all applications and reduces errors from the very first stage. As a result, the company starts with higher-quality data, presents a more consistent candidate experience, and gains an operational foundation that is much easier to monitor and scale.

AI-Assisted Interviews & Structured Evaluation

Context: One of the biggest friction points occurs between screening, interview scheduling, discussion documentation, and the final decision. Without a shared framework, interviews remain isolated meetings, notes get lost, and evaluation depends too heavily on memory, personal style, or follow-up email exchanges.

What it does: The system proposes and orchestrates interview slots, automatically creates events and meeting links, then archives the transcript and meeting minutes through Fathom or a similar system. In parallel, AI can support the technical interview with standardized role-based questions, response classification, preliminary scoring, and an evaluation summary. The process remains controlled: AI structures and accelerates the evaluation, while the final decision stays explicit and in the hands of the right person.

Stack Involved: Google Calendar / Meet or another scheduling system, Gmail or another communication channel, Fathom or another tool for transcripts and summaries, AI assistant / GPT for questions, scoring, and summaries, n8n for orchestration, and Jira or another system of work for follow-up and evaluation tasks. The stack presented is indicative and can be replaced with the client’s existing applications, provided they offer similar integration and operational control.

Control & Impact: It reduces the time to interview, eliminates unnecessary email exchanges, and turns every conversation into structured input for evaluation and decision-making. At the same time, it keeps the process auditable, consistent, and easier to scale without removing human oversight.

Documents, Electronic Signatures & Access Provisioning

Context: After a candidate is accepted, many companies enter a heavy administrative phase: manually generated documents, validations handled by email, signatures tracked across multiple places, and access activations that remain blocked between HR, management, and IT. This is where delays, omissions, and hidden operational costs often appear.

What it does: After the candidate is validated, the system generates the employment documents from templates, automatically fills in the placeholders, prepares the package for validation, and sends it for electronic signature. The workflow then tracks the callback, polling, reminders, archiving of signed documents, and the data completed by the candidate. After signing and validation, access provisioning is triggered, with internal tasks, notifications, and status updates, so the transition from candidate to active employee no longer depends on manual follow-up.

Stack Involved: n8n for orchestration, a document generator and AI assistant / GPT for contextual support where useful, Google Drive or another document repository, Jira or another system of work for tasks and ownership, Gmail or another notification channel, eSemneaza or another electronic signature provider, and the internal access management systems used by the client. The stack is indicative and can be adapted to the existing infrastructure while preserving the same logic for control, validation, and audit.

Control & Impact: It connects document generation, electronic signing, and access provisioning into a single, coherent, configurable, and auditable workflow. As a result, the company reduces administrative effort, minimizes the risk of bottlenecks, and gains clear visibility into which documents are ready, which are awaiting signature, and where the process requires intervention.

Employee Lifecycle & Management Reporting

Context: In many organizations, the process effectively stops at the contract. After hiring, other requests, documents, approvals, and administrative interactions arise, often managed across different systems or even informally. The result is a lack of continuity and an operational relationship with the employee that generates unnecessary costs and limited management visibility.

What it does: The same framework continues after hiring. The portal remains useful for sent and received documents, employment certificates, leave requests, administrative requests, and other formal interactions between the employee and the company. At the same time, management gains visibility through reports such as Recruitment Funnel, Time-to-Hire / Time-to-Activate, Documents & eSignature, AI Interview Scoring, Access Activation, and Employee Requests Overview, making the process measurable end to end rather than executed in fragments.

Stack Involved: Careers portal customized to the client's brand. n8n for orchestration, Jira or another system of work for task management and ownership, a document repository, email and calendar for context and communication, AI assistant / GPT for summarization, classification, or contextual support, and the required data sources for reporting and management visibility. Apart from the portal, the stack can be adapted to the client’s existing applications, as long as they provide standard integration methods and operational control.

Control & Impact: It connects recruitment, onboarding, and post-hire operations into a single coherent, measurable, and auditable system. As a result, the company optimizes not only the recruitment process, but the entire operational cost of the employee relationship, with less manual work, fewer bottlenecks, and better management control.

Contextual Application & Operational Intake

Context: In many companies, the process starts off fragmented: generic forms, context-free CVs, applications sent by email or stored across different locations, followed by significant manual effort to determine who applied, for which role, and with what relevant information. At the same time, the candidate experience should remain consistent with the company's brand, rather than being disconnected from the website and careers portal.

What it does: The workflow starts from a careers portal integrated into the client’s website and visually customized to match their brand. The candidate views the available positions and completes a contextual form that varies depending on the role. After submission, the application is automatically captured in the system, creating the candidate entity, document file, operational registry, and internal notifications, so the process begins in a structured way without scattered manual handling.

Stack Involved: Careers portal customized to the client's brand. n8n for orchestration, MySQL or another source of truth for candidate data, Google Drive or another document repository, Google Sheets or another operational registry, Gmail or another notification channel, plus an AI assistant / GPT for contextual support where needed. Apart from the portal, the stack is indicative and can be adapted to the client’s existing applications, as long as they allow integration through APIs or standard connection methods.

Control & Impact: It creates a single entry point for all applications and reduces errors from the very first stage. As a result, the company starts with higher-quality data, presents a more consistent candidate experience, and gains an operational foundation that is much easier to monitor and scale.

AI-Assisted Interviews & Structured Evaluation

Context: One of the biggest friction points occurs between screening, interview scheduling, discussion documentation, and the final decision. Without a shared framework, interviews remain isolated meetings, notes get lost, and evaluation depends too heavily on memory, personal style, or follow-up email exchanges.

What it does: The system proposes and orchestrates interview slots, automatically creates events and meeting links, then archives the transcript and meeting minutes through Fathom or a similar system. In parallel, AI can support the technical interview with standardized role-based questions, response classification, preliminary scoring, and an evaluation summary. The process remains controlled: AI structures and accelerates the evaluation, while the final decision stays explicit and in the hands of the right person.

Stack Involved: Google Calendar / Meet or another scheduling system, Gmail or another communication channel, Fathom or another tool for transcripts and summaries, AI assistant / GPT for questions, scoring, and summaries, n8n for orchestration, and Jira or another system of work for follow-up and evaluation tasks. The stack presented is indicative and can be replaced with the client’s existing applications, provided they offer similar integration and operational control.

Control & Impact: It reduces the time to interview, eliminates unnecessary email exchanges, and turns every conversation into structured input for evaluation and decision-making. At the same time, it keeps the process auditable, consistent, and easier to scale without removing human oversight.

Documents, Electronic Signatures & Access Provisioning

Context: After a candidate is accepted, many companies enter a heavy administrative phase: manually generated documents, validations handled by email, signatures tracked across multiple places, and access activations that remain blocked between HR, management, and IT. This is where delays, omissions, and hidden operational costs often appear.

What it does: After the candidate is validated, the system generates the employment documents from templates, automatically fills in the placeholders, prepares the package for validation, and sends it for electronic signature. The workflow then tracks the callback, polling, reminders, archiving of signed documents, and the data completed by the candidate. After signing and validation, access provisioning is triggered, with internal tasks, notifications, and status updates, so the transition from candidate to active employee no longer depends on manual follow-up.

Stack Involved: n8n for orchestration, a document generator and AI assistant / GPT for contextual support where useful, Google Drive or another document repository, Jira or another system of work for tasks and ownership, Gmail or another notification channel, eSemneaza or another electronic signature provider, and the internal access management systems used by the client. The stack is indicative and can be adapted to the existing infrastructure while preserving the same logic for control, validation, and audit.

Control & Impact: It connects document generation, electronic signing, and access provisioning into a single, coherent, configurable, and auditable workflow. As a result, the company reduces administrative effort, minimizes the risk of bottlenecks, and gains clear visibility into which documents are ready, which are awaiting signature, and where the process requires intervention.

Employee Lifecycle & Management Reporting

Context: In many organizations, the process effectively stops at the contract. After hiring, other requests, documents, approvals, and administrative interactions arise, often managed across different systems or even informally. The result is a lack of continuity and an operational relationship with the employee that generates unnecessary costs and limited management visibility.

What it does: The same framework continues after hiring. The portal remains useful for sent and received documents, employment certificates, leave requests, administrative requests, and other formal interactions between the employee and the company. At the same time, management gains visibility through reports such as Recruitment Funnel, Time-to-Hire / Time-to-Activate, Documents & eSignature, AI Interview Scoring, Access Activation, and Employee Requests Overview, making the process measurable end to end rather than executed in fragments.

Stack Involved: Careers portal customized to the client's brand. n8n for orchestration, Jira or another system of work for task management and ownership, a document repository, email and calendar for context and communication, AI assistant / GPT for summarization, classification, or contextual support, and the required data sources for reporting and management visibility. Apart from the portal, the stack can be adapted to the client’s existing applications, as long as they provide standard integration methods and operational control.

Control & Impact: It connects recruitment, onboarding, and post-hire operations into a single coherent, measurable, and auditable system. As a result, the company optimizes not only the recruitment process, but the entire operational cost of the employee relationship, with less manual work, fewer bottlenecks, and better management control.

Can recover approximately €2,673/month in adjusted operational value in a scenario with 5 hires per month.

Reduces hidden operational costs in recruitment and onboarding.

Reduces the time HR spends on repetitive administrative tasks.

Increases the HR team's capacity to handle high volumes of applications.

Reduces delays between application, interview, offer, and hiring.

Protects the candidate pipeline through a faster and more transparent process.

Reduces the risk of losing strong candidates due to slow follow-up.

Provides management with better visibility into the recruitment funnel.

Supports faster onboarding with fewer administrative bottlenecks.

Request the analysis

Business for Next

Request a free analysis of your processes

We assess the processes worth orchestrating through Automation OS and define the governance conditions: thresholds, approvals, audit, and permissions. The result: a clear proposal for automatable workflows and a realistic implementation plan, built on a secure infrastructure with SSO/RBAC, encrypted secrets, and version control.

Request an analysis and you’ll have a 60-minute discussion with Blacksquare experts.

We automatically send an email with three meeting options, including the date and time.

We evaluate the processes that can be orchestrated through Automation OS: tasks, approvals, audit, and permissions. The result: a clear implementation proposal on a secure infrastructure (SSO/RBAC, secret management, and monitoring).

Use Cases

Automated lead process management, from capture to reporting.

Automation OS captures leads from platforms, forms, or email, coordinates meeting scheduling, generates AI-assisted meeting minutes, keeps qualification under human control, and continues with tasking, documents, offers, and sales reporting.

Can recover approximately €3,850/month in adjusted operational value in a scenario with approximately 150 leads per month.

Reduces the operational cost of the sales process, from lead to contract.

Increases response speed after a new lead enters the pipeline.

Reduces the risk of qualified opportunities stalling after the meeting.

Increases the team's capacity to send more proposals without requiring proportionally more resources.

Supports the delivery of complete proposals within 48 hours.

Reduces dependence on manual follow-up and informal coordination between teams.

Provides the Sales Director with better visibility into the sales pipeline.

Can help retain qualified leads through faster proposal delivery and a more disciplined sales process.

Lead Capture & Context

Scheduling & Meeting

Qualification & Decision

Sales Execution & Reporting

Context: Leads can come from multiple sources, and without a unified workflow, duplicate records, incomplete data, and loss of context quickly become problems from the very first stage.

Context: Once a lead enters the system, one of the most common friction points is scheduling the presentation, especially when the availability of multiple team members needs to be coordinated.

Context: Lead qualification is a critical sales decision and should not be left entirely to automation. In our model, human oversight is essential at this stage.

Context: After qualification, many companies lose continuity between documents, tasks, proposals, and reporting. At the same time, management needs clear visibility into incoming, qualified, and lost leads, as well as the performance of each lead source.

What it does: We capture leads from platforms, website forms, or directly from email, normalize the data, and route them into a standardized sales workflow. Instead of remaining scattered across inboxes, forms, and files, leads enter a unified operational process.

Stack Involved: Website form, inbound email, CRM or Google Sheets as the operational registry, plus orchestration through n8n. The stack presented is indicative and can be adapted to any applications that provide APIs or standard integration methods.

Control & Impact: We create a single entry point for all leads and reduce errors from the very first interaction. This makes lead assignment, qualification, and reporting much easier.

What it does: The system reads the calendars of the people who need to attend the meeting and sends the client three date and time options based on the team’s real availability. After the meeting, it automatically generates AI-assisted meeting minutes, so the discussion can be used immediately in the next sales steps.

Stack Involved: Google Calendar, Gmail, AI assistance for meeting minutes, and orchestration through n8n. The stack is indicative and can be replaced with any applications that allow API-based integration.

Control & Impact: Reduces the time to meeting and eliminates unnecessary email exchanges. In addition, the meeting does not remain isolated, but becomes structured input for qualification and the sales execution that follows.

What it does: After the meeting and the generation of the meeting minutes, the system prepares the context for the decision, but qualification is completed by the Sales Director with a single button click. Only after this validation do the downstream sales and operational workflows start automatically.

Stack Involved: AI-generated meeting minutes, status management, approval logic, and downstream orchestration. The stack is indicative and can be adapted to any applications that can be connected via API.

Control & Impact: Maintains the speed of automation without removing sales control. AI supports the process, but the decision remains explicit, auditable, and in the hands of the right person.

What it does: After qualification, the system can automatically create the client’s folder in Drive with the required subfolders, move the meeting minutes to the correct location, generate Jira tasks for the sales team, and continue through the Scope of Work and proposal, with review by the Technical Director and Sales Director. At the same time, it generates automated reports on the total number of leads, qualified, unqualified, and lost leads, weekly and monthly trends, lead sources such as Google or Meta, and proposal status.

Stack Involved: Google Drive for folder structure and documents, Jira for tasking, Gmail and Calendar for context and communication, AI assistance for documents and drafts, plus CRM, Sheets, or other data sources for sales reporting. The stack presented is indicative and can be replaced with any applications that provide APIs or other standard connection methods.

Control & Impact: Connects sales execution and reporting into a single coherent, configurable, and auditable workflow. This way, we do not just move the lead through the process; we clearly see what comes in, what gets qualified, what is lost, which sources perform, and where intervention is needed.

Lead Capture & Context

Context: Leads can come from multiple sources, and without a unified workflow, duplicate records, incomplete data, and loss of context quickly become problems from the very first stage.

What it does: We capture leads from platforms, website forms, or directly from email, normalize the data, and route them into a standardized sales workflow. Instead of remaining scattered across inboxes, forms, and files, leads enter a unified operational process.

Stack Involved: Formular website, email inbound, CRM sau Google Sheets ca registru operational, plus orchestrare prin n8n. Stackul prezentat este orientativ si poate fi adaptat la orice aplicatii care ofera API sau metode standard de integrare.

Control & Impact: We create a single entry point for all leads and reduce errors from the very first interaction. This makes lead assignment, qualification, and reporting much easier.

Scheduling & Meeting

Context: Once a lead enters the system, one of the most common friction points is scheduling the presentation, especially when the availability of multiple team members needs to be coordinated.

What it does: The system reads the calendars of the people who need to attend the meeting and sends the client three date and time options based on the team’s real availability. After the meeting, it automatically generates AI-assisted meeting minutes, so the discussion can be used immediately in the next sales steps.

Stack Involved: Google Calendar, Gmail, AI assistance pentru minuta si orchestration prin n8n. Stackul este orientativ si poate fi inlocuit cu orice aplicatii care permit integrare prin API.

Control & Impact: Reduces the time to meeting and eliminates unnecessary email exchanges. In addition, the meeting does not remain isolated, but becomes structured input for qualification and the sales execution that follows.

Qualification & Decision

Context: Lead qualification is a critical sales decision and should not be left entirely to automation. In our model, human oversight is essential at this stage.

What it does: After the meeting and the generation of the meeting minutes, the system prepares the context for the decision, but qualification is completed by the Sales Director with a single button click. Only after this validation do the downstream sales and operational workflows start automatically.

Stack Involved: AI-generated meeting minutes, status management, approval logic, and downstream orchestration. The stack is indicative and can be adapted to any applications that can be connected via API.

Control & Impact: Maintains the speed of automation without removing sales control. AI supports the process, but the decision remains explicit, auditable, and in the hands of the right person.

Sales Execution & Reporting

Context: After qualification, many companies lose continuity between documents, tasks, proposals, and reporting. At the same time, management needs clear visibility into incoming, qualified, and lost leads, as well as the performance of each lead source.

What it does: After qualification, the system can automatically create the client’s folder in Drive with the required subfolders, move the meeting minutes to the correct location, generate Jira tasks for the sales team, and continue through the Scope of Work and proposal, with review by the Technical Director and Sales Director. At the same time, it generates automated reports on the total number of leads, qualified, unqualified, and lost leads, weekly and monthly trends, lead sources such as Google or Meta, and proposal status.

Stack Involved: Google Drive for folder structure and documents, Jira for tasking, Gmail and Calendar for context and communication, AI assistance for documents and drafts, plus CRM, Sheets, or other data sources for sales reporting. The stack presented is indicative and can be replaced with any applications that provide APIs or other standard connection methods.

Control & Impact: Connects sales execution and reporting into a single coherent, configurable, and auditable workflow. This way, we do not just move the lead through the process; we clearly see what comes in, what gets qualified, what is lost, which sources perform, and where intervention is needed.

Lead Capture & Context

Context: Leads can come from multiple sources, and without a unified workflow, duplicate records, incomplete data, and loss of context quickly become problems from the very first stage.

What it does: We capture leads from platforms, website forms, or directly from email, normalize the data, and route them into a standardized sales workflow. Instead of remaining scattered across inboxes, forms, and files, leads enter a unified operational process.

Stack Involved: Website form, inbound email, CRM or Google Sheets as the operational registry, plus orchestration through n8n. The stack presented is indicative and can be adapted to any applications that provide APIs or standard integration methods.

Control & Impact: We create a single entry point for all leads and reduce errors from the very first interaction. This makes lead assignment, qualification, and reporting much easier.

Scheduling & Meeting

Context: Once a lead enters the system, one of the most common friction points is scheduling the presentation, especially when the availability of multiple team members needs to be coordinated.

What it does: The system reads the calendars of the people who need to attend the meeting and sends the client three date and time options based on the team’s real availability. After the meeting, it automatically generates AI-assisted meeting minutes, so the discussion can be used immediately in the next sales steps.

Stack Involved: Google Calendar, Gmail, AI assistance for meeting minutes, and orchestration through n8n. The stack is indicative and can be replaced with any applications that allow API-based integration.

Control & Impact: Reduces the time to meeting and eliminates unnecessary email exchanges. In addition, the meeting does not remain isolated, but becomes structured input for qualification and the sales execution that follows.

Qualification & Decision

Context: Lead qualification is a critical sales decision and should not be left entirely to automation. In our model, human oversight is essential at this stage.

What it does: After the meeting and the generation of the meeting minutes, the system prepares the context for the decision, but qualification is completed by the Sales Director with a single button click. Only after this validation do the downstream sales and operational workflows start automatically.

Stack Involved: AI-generated meeting minutes, status management, approval logic, and downstream orchestration. The stack is indicative and can be adapted to any applications that can be connected via API.

Control & Impact: Maintains the speed of automation without removing sales control. AI supports the process, but the decision remains explicit, auditable, and in the hands of the right person.

Sales Execution & Reporting

Context: After qualification, many companies lose continuity between documents, tasks, proposals, and reporting. At the same time, management needs clear visibility into incoming, qualified, and lost leads, as well as the performance of each lead source.

What it does: After qualification, the system can automatically create the client’s folder in Drive with the required subfolders, move the meeting minutes to the correct location, generate Jira tasks for the sales team, and continue through the Scope of Work and proposal, with review by the Technical Director and Sales Director. At the same time, it generates automated reports on the total number of leads, qualified, unqualified, and lost leads, weekly and monthly trends, lead sources such as Google or Meta, and proposal status.

Stack Involved: Google Drive for folder structure and documents, Jira for tasking, Gmail and Calendar for context and communication, AI assistance for documents and drafts, plus CRM, Sheets, or other data sources for sales reporting. The stack presented is indicative and can be replaced with any applications that provide APIs or other standard connection methods.

Control & Impact: Connects sales execution and reporting into a single coherent, configurable, and auditable workflow. This way, we do not just move the lead through the process; we clearly see what comes in, what gets qualified, what is lost, which sources perform, and where intervention is needed.

Can recover approximately €3,850/month in adjusted operational value in a scenario with approximately 150 leads per month.

Reduces the operational cost of the sales process, from lead to contract.

Increases response speed after a new lead enters the pipeline.

Reduces the risk of qualified opportunities stalling after the meeting.

Increases the team's capacity to send more proposals without requiring proportionally more resources.

Supports the delivery of complete proposals within 48 hours.

Reduces dependence on manual follow-up and informal coordination between teams.

Provides the Sales Director with better visibility into the sales pipeline.

Can help retain qualified leads through faster proposal delivery and a more disciplined sales process.

Request the analysis

Business for Next

Request a free analysis of your processes

We assess the processes worth orchestrating through Automation OS and define the governance conditions: thresholds, approvals, audit, and permissions. The result: a clear proposal for automatable workflows and a realistic implementation plan, built on a secure infrastructure with SSO/RBAC, encrypted secrets, and version control.

Request an analysis and you’ll have a 60-minute discussion with Blacksquare experts.

We automatically send an email with three meeting options, including the date and time.

We evaluate the processes that can be orchestrated through Automation OS: tasks, approvals, audit, and permissions. The result: a clear implementation proposal on a secure infrastructure (SSO/RBAC, secret management, and monitoring).

Use Cases

GPT-Assisted Operational Planning & Execution

We use the custom GPT created by BlackSquare to interpret the project context, team, and deadline, then securely launch it through n8n workflows that structure the project in Jira, link documentation stored in Drive, schedule meetings, and generate automated operational reporting within an architecture optimized for low and predictable token consumption.

Can recover approximately €1,389–€1,866 per month in adjusted operational value, with the potential to reach approximately €2,170 per month in reporting-intensive environments.

Reduces the administrative cost of project planning, execution, and reporting.

Reduces the time project managers and leadership spend on status updates, exports, and manual reporting.

Increases visibility into project costs, team capacity, and profitability.

Helps management identify projects at risk of losing margin at an earlier stage.

Reduces the risk of unnoticed overtime and effort overruns.

Supports faster decisions on resource reallocation, contract renegotiation, or scope adjustments.

Provides better control over worklogs, estimates, and resource allocations.

Increases operational discipline across delivery and project management teams.

Project Context & GPT Analysis

Project Structuring in Jira

Documents, Meetings & Execution

Worklogs, Capacity & Reporting

Context: We start with a comprehensive project document or a clear set of instructions: the project context, the team involved, available skills, and the deadline. Instead of manually translating all this information into tasks, estimates, and operational documents, we transform it into a unified planning workflow.

Context: After the project is correctly understood, the next critical step is turning it into a clear work structure. Without this, the team is left with a good document, but without a coherent execution system.

Context: A project does not live only in tasks. It needs connected documentation, organized files, meeting minutes, and context that is easy for everyone involved to access.

Context: As the project progresses, critical questions quickly arise: who has worked on what, how much time has been logged, which tasks are delayed, how much capacity each team member still has, and where the project is deviating from the plan.

What it does: We use the custom GPT created by BlackSquare to analyze the project context, interpret the requirements, and prepare the logical structure needed for execution. We do not use it as a black box that makes decisions on its own, but as an interpretation and structuring layer that sends only the necessary actions to the backend. The actual execution happens in n8n, not directly through GPT.

Stack Involved: The custom GPT created by BlackSquare, ChatGPT Team with Actions, the n8n backend, and project configuration based on user, project, and action. The stack presented is indicative and can be adapted to any applications that provide APIs or standard integration methods.

Control & Impact: We significantly reduce the manual effort required to translate a brief into an operational structure, while keeping control in the backend and within access permissions. In addition, the architecture is designed to keep token consumption low: we use AI for interpretation and structuring, not to unnecessarily execute deterministic logic.

What it does: Based on the project context, we generate the complete work structure in Jira: epics, tasks, subtasks, descriptions, labels, start dates, due dates, and estimates. We can build the backlog directly from the project documentation, while the existing workflows already include creating tasks and subtasks from context, resource planning, description and checklist updates, and operational follow-up.

Stack Involved: Jira as system of work, n8n for orchestration, and the custom BlackSquare GPT for contextual interpretation. Jira is the recommended and already operational system for control, approvals, task management, and reporting, but it can be replaced with another platform if it provides compatible API integration.

Control & Impact: We rapidly transform project context into an executable backlog, with clear ownership and timeline. Instead of manually building the project in Jira, we generate it in a controlled way, preserving audit, permissions, and traceability throughout the entire process.

What it does: We structure documents in Google Drive at project level, link the relevant documentation directly in Jira tasks, and use Calendar for context and planning. We can generate documents, save them in a controlled way as drafts or final versions, attach them to Jira, and turn meeting summaries into tasks and next actions. For drafts or intermediate documents, we use TEMP storage so the official project Drive is not polluted.

Stack Involved: Google Drive for documents, Google Calendar for context and planning, Gmail for assisted communication, Jira for task management, and n8n for orchestration. The stack presented is indicative and can be adapted to any applications that provide APIs or other standard connection methods.

Control & Impact: We connect documents, meetings, and execution into a single operational flow, not parallel systems. This reduces context loss, lowers administrative work, and makes the project much easier to track and hand over between roles.

What it does: We generate automated reports on worklogs, timesheets, and effort, track delayed tasks, missing estimates, time deviations, and workload levels for each person or project. We can report weekly, monthly, and across time units relevant to management, including remaining availability until the end of the month.

Stack Involved: Jira for worklogs and tasks, Google Drive or other records for reports, Gmail for distribution, and n8n for generation and orchestration. If needed, we can also store audit logs or analytics in Sheets, CSV, PostgreSQL, or another suitable format. The stack is indicative and can be replaced with any applications that provide APIs.

Control & Impact: We move reporting from manual work and late reconciliations into an automated, configurable, and easily auditable system. This provides better visibility into team capacity, delays, effort distribution, and actual workload, without artificially increasing costs through unnecessary token consumption.

Project Context & GPT Analysis

Context: We start with a comprehensive project document or a clear set of instructions: the project context, the team involved, available skills, and the deadline. Instead of manually translating all this information into tasks, estimates, and operational documents, we transform it into a unified planning workflow.

What it does: Folosim GPT-ul custom creat de BlackSquare pentru a analiza contextul proiectului, a interpreta cerintele si a pregati structura logica necesara pentru executie. Nu il folosim ca pe o cutie neagra care decide singura, ci ca pe un layer de interpretare si structurare care trimite mai departe catre backend doar actiunile necesare. Executia reala se face in n8n, nu direct din GPT.

Stack Involved: GPT-ul custom creat de BlackSquare, ChatGPT Team plus Actions, backend n8n si configurarea proiectului in functie de user, project si action. Stackul prezentat este orientativ si poate fi adaptat la orice aplicatii care ofera API sau metode standard de integrare.

Control & Impact: We significantly reduce the manual effort required to translate a brief into an operational structure, while keeping control in the backend and within access permissions. In addition, the architecture is designed to keep token consumption low: we use AI for interpretation and structuring, not to unnecessarily execute deterministic logic.

Project Structuring in Jira

Context: After the project is correctly understood, the next critical step is turning it into a clear work structure. Without this, the team is left with a good document, but without a coherent execution system.

What it does: Based on the project context, we generate the complete work structure in Jira: epics, tasks, subtasks, descriptions, labels, start dates, due dates, and estimates. We can build the backlog directly from the project documentation, while the existing workflows already include creating tasks and subtasks from context, resource planning, description and checklist updates, and operational follow-up.

Stack Involved: Jira ca system of work, n8n pentru orchestration si GPT-ul custom BlackSquare pentru interpretarea contextului. Jira este recomandat si deja functional ca sistem de control, approvals, tasking si raportare, dar poate fi inlocuit daca exista alt sistem compatibil prin API.

Control & Impact: We rapidly transform project context into an executable backlog, with clear ownership and timeline. Instead of manually building the project in Jira, we generate it in a controlled way, preserving audit, permissions, and traceability throughout the entire process.

Documents, Meetings & Execution

Context: A project does not live only in tasks. It needs connected documentation, organized files, meeting minutes, and context that is easy for everyone involved to access.

What it does: We structure documents in Google Drive at project level, link the relevant documentation directly in Jira tasks, and use Calendar for context and planning. We can generate documents, save them in a controlled way as drafts or final versions, attach them to Jira, and turn meeting summaries into tasks and next actions. For drafts or intermediate documents, we use TEMP storage so the official project Drive is not polluted.

Stack Involved: Google Drive pentru documente, Google Calendar pentru context si planificare, Gmail pentru comunicare asistata, Jira pentru tasking si n8n pentru orchestration. Stackul prezentat este orientativ si poate fi adaptat la orice aplicatii care ofera API sau alte metode standard de conectare.

Control & Impact: We connect documents, meetings, and execution into a single operational flow, not parallel systems. This reduces context loss, lowers administrative work, and makes the project much easier to track and hand over between roles.

Worklogs, Capacity & Reporting

Context: As the project progresses, critical questions quickly arise: who has worked on what, how much time has been logged, which tasks are delayed, how much capacity each team member still has, and where the project is deviating from the plan.

What it does: We generate automated reports on worklogs, timesheets, and effort, track delayed tasks, missing estimates, time deviations, and workload levels for each person or project. We can report weekly, monthly, and across time units relevant to management, including remaining availability until the end of the month.

Stack Involved: Jira pentru worklog si taskuri, Google Drive sau alte evidente pentru rapoarte, Gmail pentru distributie si n8n pentru generare si orchestrare. Daca este nevoie, putem salva si loguri de audit sau analytics in Sheets, CSV, PostgreSQL sau alt suport potrivit. Stackul este orientativ si poate fi inlocuit cu orice aplicatii care ofera API.

Control & Impact: We move reporting from manual work and late reconciliations into an automated, configurable, and easily auditable system. This provides better visibility into team capacity, delays, effort distribution, and actual workload, without artificially increasing costs through unnecessary token consumption.

Project Context & GPT Analysis

Context: We start with a comprehensive project document or a clear set of instructions: the project context, the team involved, available skills, and the deadline. Instead of manually translating all this information into tasks, estimates, and operational documents, we transform it into a unified planning workflow.

What it does: We use the custom GPT created by BlackSquare to analyze the project context, interpret the requirements, and prepare the logical structure needed for execution. We do not use it as a black box that makes decisions on its own, but as an interpretation and structuring layer that sends only the necessary actions to the backend. The actual execution happens in n8n, not directly through GPT.

Stack Involved: The custom GPT created by BlackSquare, ChatGPT Team with Actions, the n8n backend, and project configuration based on user, project, and action. The stack presented is indicative and can be adapted to any applications that provide APIs or standard integration methods.

Control & Impact: We significantly reduce the manual effort required to translate a brief into an operational structure, while keeping control in the backend and within access permissions. In addition, the architecture is designed to keep token consumption low: we use AI for interpretation and structuring, not to unnecessarily execute deterministic logic.

Project Structuring in Jira

Context: After the project is correctly understood, the next critical step is turning it into a clear work structure. Without this, the team is left with a good document, but without a coherent execution system.

What it does: Based on the project context, we generate the complete work structure in Jira: epics, tasks, subtasks, descriptions, labels, start dates, due dates, and estimates. We can build the backlog directly from the project documentation, while the existing workflows already include creating tasks and subtasks from context, resource planning, description and checklist updates, and operational follow-up.

Stack Involved: Jira as system of work, n8n for orchestration, and the custom BlackSquare GPT for contextual interpretation. Jira is the recommended and already operational system for control, approvals, task management, and reporting, but it can be replaced with another platform if it provides compatible API integration.

Control & Impact: We rapidly transform project context into an executable backlog, with clear ownership and timeline. Instead of manually building the project in Jira, we generate it in a controlled way, preserving audit, permissions, and traceability throughout the entire process.

Documents, Meetings & Execution

Context: A project does not live only in tasks. It needs connected documentation, organized files, meeting minutes, and context that is easy for everyone involved to access.

What it does: We structure documents in Google Drive at project level, link the relevant documentation directly in Jira tasks, and use Calendar for context and planning. We can generate documents, save them in a controlled way as drafts or final versions, attach them to Jira, and turn meeting summaries into tasks and next actions. For drafts or intermediate documents, we use TEMP storage so the official project Drive is not polluted.

Stack Involved: Google Drive for documents, Google Calendar for context and planning, Gmail for assisted communication, Jira for task management, and n8n for orchestration. The stack presented is indicative and can be adapted to any applications that provide APIs or other standard connection methods.

Control & Impact: We connect documents, meetings, and execution into a single operational flow, not parallel systems. This reduces context loss, lowers administrative work, and makes the project much easier to track and hand over between roles.

Worklogs, Capacity & Reporting

Context: As the project progresses, critical questions quickly arise: who has worked on what, how much time has been logged, which tasks are delayed, how much capacity each team member still has, and where the project is deviating from the plan.

What it does: We generate automated reports on worklogs, timesheets, and effort, track delayed tasks, missing estimates, time deviations, and workload levels for each person or project. We can report weekly, monthly, and across time units relevant to management, including remaining availability until the end of the month.

Stack Involved: Jira for worklogs and tasks, Google Drive or other records for reports, Gmail for distribution, and n8n for generation and orchestration. If needed, we can also store audit logs or analytics in Sheets, CSV, PostgreSQL, or another suitable format. The stack is indicative and can be replaced with any applications that provide APIs.

Control & Impact: We move reporting from manual work and late reconciliations into an automated, configurable, and easily auditable system. This provides better visibility into team capacity, delays, effort distribution, and actual workload, without artificially increasing costs through unnecessary token consumption.

Can recover approximately €1,389–€1,866 per month in adjusted operational value, with the potential to reach approximately €2,170 per month in reporting-intensive environments.

Reduces the administrative cost of project planning, execution, and reporting.

Reduces the time project managers and leadership spend on status updates, exports, and manual reporting.

Increases visibility into project costs, team capacity, and profitability.

Helps management identify projects at risk of losing margin at an earlier stage.

Reduces the risk of unnoticed overtime and effort overruns.

Supports faster decisions on resource reallocation, contract renegotiation, or scope adjustments.

Provides better control over worklogs, estimates, and resource allocations.

Increases operational discipline across delivery and project management teams.

Request the analysis

Business for Next

Request a free analysis of your processes

We assess the processes worth orchestrating through Automation OS and define the governance conditions: thresholds, approvals, audit, and permissions. The result: a clear proposal for automatable workflows and a realistic implementation plan, built on a secure infrastructure with SSO/RBAC, encrypted secrets, and version control.

Request an analysis and you’ll have a 60-minute discussion with Blacksquare experts.

We automatically send an email with three meeting options, including the date and time.

We evaluate the processes that can be orchestrated through Automation OS: tasks, approvals, audit, and permissions. The result: a clear implementation proposal on a secure infrastructure (SSO/RBAC, secret management, and monitoring).

Use Cases

Campaign Monitoring & Performance Alerts for Marketing Teams

We collect paid and organic performance data from Metricool, clean and standardize it into a unified layer, apply rules to indicators such as CPC, CPM, CTR, frequency, spend, and budget, then automatically trigger alerts, recommendations, and documented outputs for the marketing team.

Can recover approximately €825–€965 per month in adjusted operational value for around 137 signals per month.

Reduces the time spent on manual checks across advertising platforms.

Protects media budgets by detecting performance deviations more quickly.

Reduces the risk of campaign issues being detected too late.

Helps the team respond more quickly to rising costs or declining conversion rates.

Reduces the time spent on manual analysis and report preparation.

Provides management with clearer visibility into campaign risks.

Creates operational discipline through a documented history of alerts, signals, and decisions.

Supports faster decisions to optimize, pause, or adjust campaigns.

Data Collection & Cleansing

Performance Rules & Signals

Alerts & Recommendations for the Team

Documentare si istoric operational

Context: Marketing data comes from different sources, and without a shared layer for cleansing and normalization, teams end up comparing incomplete, inconsistent, or duplicated metrics.

Context: A dashboard shows what happened. An operational system should identify when a deviation becomes significant and what type of response it requires.

Context: When significant performance changes occur, the challenge is not just having the data, but ensuring that the right people receive the signal at the right time, in a format that is easy to act on.

Context: Useful signals are quickly lost if they are not documented in a coherent place. Without an operational history, teams repeat the same investigations and lose context between reporting periods.

What it does: We collect data from Metricool and other relevant connected sources for each client, store it in an external database, clean it, remove duplicates, and transform it into a consistent set of KPIs that both business rules and reporting can rely on. This layer serves as the single source of truth for signals and decision-making.

Stack Involved: Metricool, PostgreSQL as the external database for collection and storage, plus n8n for ingestion and processing. The stack presented is indicative and can be adapted to any applications that provide APIs or standard integration methods. If a KPI is not available through Metricool, we activate fallback through other APIs where access is available.

Control & Impact: We make the same operational reality available to the team, without manual reconciliation between platforms and without decisions based on noisy data. This reduces errors and creates the real foundation for useful alerts and accurate comparisons over time.

What it does: We feed the cleaned KPIs into the rules engine and automatically evaluate deviations against baselines, benchmarks, and configurable thresholds. We can monitor rules for CPC, CPM, CTR, frequency, spend, budget, conversions, CPL, CPA, sessions, CVR, or any other metrics available for the client.

Stack Involved: Rules engine, a database with clean KPIs, and n8n for rule evaluation and workflow triggering. The architecture is rules-first: signals, alerts, and recommendations are driven by declarative rules, not ad-hoc interpretations. The stack is indicative and can be extended or replaced depending on the client’s ecosystem.

Control & Impact: We turn report observations into explicit and repeatable signals. This helps marketing teams react faster to real deviations, rather than only noticing retrospectively that something did not perform well.

What it does: We automatically trigger internal alerts for the relevant stakeholders and send the signal by email, together with the explanation and recommended action. We can operate strictly on rules, with clear and simple alerts, or add a controlled AI layer that interprets the context and formulates optimization recommendations for campaigns.

Stack Involved: n8n for orchestration, Google Workspace for email and internal distribution, plus optional AI assistance for interpretation and recommendation drafting. The stack presented is indicative and can be replaced with any applications that allow API-based integration.

Control & Impact: We reduce the time between deviation and response, making the signal much easier for the team to understand. However, we keep control: recommendations can be AI-assisted, but the business logic remains anchored in rules, ownership, and an audit trail.

What it does: We automatically save alerts, reports, and generated outputs in predefined folders or documents, allowing the team to track the history of signals and recommendations. We can maintain both simple records and recurring reports covering performance, funnel metrics, and relevant deviations.

Stack Involved: Google Workspace for documents and working folders, n8n for controlled document generation and storage, plus the operational database from which KPIs and signals are retrieved. The stack is indicative and can be adapted to any document management or knowledge management platform that provides APIs or standard integration methods.

Control & Impact: We build an operational history of performance, not just ephemeral notifications. This helps teams clearly track which deviations have occurred, what recommendations have been generated, and how campaigns evolve over time.

Data Collection & Cleansing

Context: Marketing data comes from different sources, and without a shared layer for cleansing and normalization, teams end up comparing incomplete, inconsistent, or duplicated metrics.

What it does: We collect data from Metricool and other relevant connected sources for each client, store it in an external database, clean it, remove duplicates, and transform it into a consistent set of KPIs that both business rules and reporting can rely on. This layer serves as the single source of truth for signals and decision-making.

Stack Involved: Metricool, PostgreSQL ca baza externa pentru colectare si stocare, plus n8n pentru ingestii si procesare. Stackul prezentat este orientativ si poate fi adaptat la orice aplicatii care ofera API sau metode standard de integrare. Daca un KPI nu este disponibil prin Metricool, activam fallback prin alte API-uri unde exista acces.

Control & Impact: We make the same operational reality available to the team, without manual reconciliation between platforms and without decisions based on noisy data. This reduces errors and creates the real foundation for useful alerts and accurate comparisons over time.

Performance Rules & Signals

Context: A dashboard shows what happened. An operational system should identify when a deviation becomes significant and what type of response it requires.

What it does: We feed the cleaned KPIs into the rules engine and automatically evaluate deviations against baselines, benchmarks, and configurable thresholds. We can monitor rules for CPC, CPM, CTR, frequency, spend, budget, conversions, CPL, CPA, sessions, CVR, or any other metrics available for the client.

Stack Involved: Rules engine, baza de date cu KPI curati si n8n pentru evaluarea regulilor si declansarea fluxurilor. Arhitectura este rules-first: semnalele, alertele si recomandarile pornesc din reguli declarative, nu din interpretari ad-hoc. Stackul este orientativ si poate fi extins sau inlocuit in functie de ecosistemul clientului.

Control & Impact: We turn report observations into explicit and repeatable signals. This helps marketing teams react faster to real deviations, rather than only noticing retrospectively that something did not perform well.

Alerts & Recommendations for the Team

Context: When significant performance changes occur, the challenge is not just having the data, but ensuring that the right people receive the signal at the right time, in a format that is easy to act on.

What it does: We automatically trigger internal alerts for the relevant stakeholders and send the signal by email, together with the explanation and recommended action. We can operate strictly on rules, with clear and simple alerts, or add a controlled AI layer that interprets the context and formulates optimization recommendations for campaigns.

Stack Involved: n8n pentru orchestration, Google Workspace pentru email si distributie interna, plus AI assistance optional pentru interpretare si formularea recomandarilor. Stackul prezentat este orientativ si poate fi inlocuit cu orice aplicatii care permit integrare prin API.

Control & Impact: We reduce the time between deviation and response, making the signal much easier for the team to understand. However, we keep control: recommendations can be AI-assisted, but the business logic remains anchored in rules, ownership, and an audit trail.

Documentare si istoric operational

Context: Useful signals are quickly lost if they are not documented in a coherent place. Without an operational history, teams repeat the same investigations and lose context between reporting periods.

What it does: We automatically save alerts, reports, and generated outputs in predefined folders or documents, allowing the team to track the history of signals and recommendations. We can maintain both simple records and recurring reports covering performance, funnel metrics, and relevant deviations.

Stack Involved: Google Workspace pentru documente si foldere de lucru, n8n pentru generare si salvare controlata, plus baza de date operationala din care extragem KPI-urile si semnalele. Stackul este orientativ si poate fi adaptat la orice suita documentara sau de knowledge management care ofera API sau metode standard de conectare.

Control & Impact: We build an operational history of performance, not just ephemeral notifications. This helps teams clearly track which deviations have occurred, what recommendations have been generated, and how campaigns evolve over time.

Data Collection & Cleansing

Context: Marketing data comes from different sources, and without a shared layer for cleansing and normalization, teams end up comparing incomplete, inconsistent, or duplicated metrics.

What it does: We collect data from Metricool and other relevant connected sources for each client, store it in an external database, clean it, remove duplicates, and transform it into a consistent set of KPIs that both business rules and reporting can rely on. This layer serves as the single source of truth for signals and decision-making.

Stack Involved: Metricool, PostgreSQL as the external database for collection and storage, plus n8n for ingestion and processing. The stack presented is indicative and can be adapted to any applications that provide APIs or standard integration methods. If a KPI is not available through Metricool, we activate fallback through other APIs where access is available.

Control & Impact: We make the same operational reality available to the team, without manual reconciliation between platforms and without decisions based on noisy data. This reduces errors and creates the real foundation for useful alerts and accurate comparisons over time.

Performance Rules & Signals

Context: A dashboard shows what happened. An operational system should identify when a deviation becomes significant and what type of response it requires.

What it does: We feed the cleaned KPIs into the rules engine and automatically evaluate deviations against baselines, benchmarks, and configurable thresholds. We can monitor rules for CPC, CPM, CTR, frequency, spend, budget, conversions, CPL, CPA, sessions, CVR, or any other metrics available for the client.

Stack Involved: Rules engine, a database with clean KPIs, and n8n for rule evaluation and workflow triggering. The architecture is rules-first: signals, alerts, and recommendations are driven by declarative rules, not ad-hoc interpretations. The stack is indicative and can be extended or replaced depending on the client’s ecosystem.

Control & Impact: We turn report observations into explicit and repeatable signals. This helps marketing teams react faster to real deviations, rather than only noticing retrospectively that something did not perform well.

Alerts & Recommendations for the Team

Context: When significant performance changes occur, the challenge is not just having the data, but ensuring that the right people receive the signal at the right time, in a format that is easy to act on.

What it does: We automatically trigger internal alerts for the relevant stakeholders and send the signal by email, together with the explanation and recommended action. We can operate strictly on rules, with clear and simple alerts, or add a controlled AI layer that interprets the context and formulates optimization recommendations for campaigns.

Stack Involved: n8n for orchestration, Google Workspace for email and internal distribution, plus optional AI assistance for interpretation and recommendation drafting. The stack presented is indicative and can be replaced with any applications that allow API-based integration.

Control & Impact: We reduce the time between deviation and response, making the signal much easier for the team to understand. However, we keep control: recommendations can be AI-assisted, but the business logic remains anchored in rules, ownership, and an audit trail.

Documentare si istoric operational

Context: Useful signals are quickly lost if they are not documented in a coherent place. Without an operational history, teams repeat the same investigations and lose context between reporting periods.

What it does: We automatically save alerts, reports, and generated outputs in predefined folders or documents, allowing the team to track the history of signals and recommendations. We can maintain both simple records and recurring reports covering performance, funnel metrics, and relevant deviations.

Stack Involved: Google Workspace for documents and working folders, n8n for controlled document generation and storage, plus the operational database from which KPIs and signals are retrieved. The stack is indicative and can be adapted to any document management or knowledge management platform that provides APIs or standard integration methods.

Control & Impact: We build an operational history of performance, not just ephemeral notifications. This helps teams clearly track which deviations have occurred, what recommendations have been generated, and how campaigns evolve over time.

Can recover approximately €825–€965 per month in adjusted operational value for around 137 signals per month.

Reduces the time spent on manual checks across advertising platforms.

Protects media budgets by detecting performance deviations more quickly.

Reduces the risk of campaign issues being detected too late.

Helps the team respond more quickly to rising costs or declining conversion rates.

Reduces the time spent on manual analysis and report preparation.

Provides management with clearer visibility into campaign risks.

Creates operational discipline through a documented history of alerts, signals, and decisions.

Supports faster decisions to optimize, pause, or adjust campaigns.

Request the analysis

Business for Next

Request a free analysis of your processes

We assess the processes worth orchestrating through Automation OS and define the governance conditions: thresholds, approvals, audit, and permissions. The result: a clear proposal for automatable workflows and a realistic implementation plan, built on a secure infrastructure with SSO/RBAC, encrypted secrets, and version control.

Request an analysis and you’ll have a 60-minute discussion with Blacksquare experts.

We automatically send an email with three meeting options, including the date and time.

We evaluate the processes that can be orchestrated through Automation OS: tasks, approvals, audit, and permissions. The result: a clear implementation proposal on a secure infrastructure (SSO/RBAC, secret management, and monitoring).

Use Cases

Case Intake, Document Management & Appointment Scheduling for Notary Offices

We organize the client relationship from the first request through appointment scheduling, case file completion, and subsequent archive requests, using a controlled, auditable workflow compatible with the confidentiality and human oversight requirements specific to notarial activity. We do not automate the notarial act itself, but the administrative, document, and communication stages that come before and after it.

Request Intake & Classification

Documents & Case File Completeness

Appointment Scheduling & Client Communication

Archive, Traceability & Control

Context: In notary offices, a lot of time is lost from the very first contact: poorly formulated requests, incomplete documents, information scattered between phone, email, and reception, and a lack of clarity around the actual type of request.

Context: One of the biggest friction points is the lack of the right documents at the right time. Clients often receive different document lists, have to return to the office multiple times, and are not sure which documents are still missing from their case file.

Context: Scheduling appointments too early or before a minimum level of case readiness is reached leads to unnecessary visits, wasted time, and a poor client experience. At the same time, limited visibility into the request status increases the workload on reception staff and administrative personnel.

Context: After the notarial act is completed, the office continues to receive requests for copies, duplicates, extracts, or access to archived documents. At this stage, the main risk is not only delays, but also the lack of traceability and the uncontrolled exposure of sensitive documents.

What it does: We capture the request through the website form, the official email address, or directly at reception, and turn it into a unified work file. We then classify it operationally by service type, so the team immediately knows who takes over the case and which administrative path follows. This classification is organizational and does not replace the final legal review.

Stack Involved: Website form, the office’s official email address, working document space, activity management system, operational calendar, and an automation platform that connects them all. The stack presented is indicative and can be adapted to any applications that provide APIs or standard integration methods.

Control & Impact: We reduce clarification calls and eliminate situations where the same request is interpreted differently by different staff members. In addition, we apply data minimization from the moment the request is received and maintain a complete audit trail of status changes, access, and communications.

What it does: We generate the document list based on the type of request and track case file completeness clearly: documents received, missing, illegible, expired, or pending review. We centralize the documents in an electronic working file, separate from the actual notarial archive, and can automatically trigger completion requests when documents are missing or formal issues appear. The verification remains preliminary and administrative, not legal.

Stack Involved: Working document space, forms and email for collection, an activity management system for tracking, and an automation platform for status changes, reminders, and additional requests. The stack is indicative and can be replaced with any API-compatible suite.

Control & Impact: The office gains instant visibility into the actual status of each case file and no longer has to work in parallel across phone calls, email, and paper. The notary receives cleaner, better-prepared case files, while clients receive consistent instructions instead of repetitive and conflicting follow-ups.

What it does: We open appointment scheduling only once the case file has reached the minimum readiness threshold defined by the office. For incomplete files, we keep the status as pending completion and automatically send notifications, confirmations, reminders, and status updates to the client: request registered, missing documents, file under review, appointment confirmed, or request completed. In parallel, the team sees an internal dashboard with the current workload, intake order, and delayed case files.

Stack Involved: Operational calendar, client notification channel, activity management system, and automation platform. The stack presented is indicative and can be adapted to any applications connectable via API.

Control & Impact: Reduces the number of unsuccessful appointments and unnecessary return visits to the office. At the same time, it increases predictability for the team and improves the client experience, even during busy periods, by ensuring clear and consistent communication.

What it does: We register follow-up requests, track the internal workflow of each request, and document who accessed the case file, for what purpose, and at what stage the request is being handled. We maintain strict control over access to archived content and use automation only for registration, tracking, notifications, and organization—not to autonomously release documents or make legal decisions.

Stack Involved: Document repository, automation platform, activity management system, management dashboard, and mechanisms for audit logging, access control, backup, and auditing. The stack is indicative and can be adapted to any infrastructure that provides APIs or other standard integration methods.

Control & Impact: We build a system in which every access, status change, approval, and communication can be tracked. This reduces operational risk, strengthens internal control, and enables more efficient management of case volumes, deadlines, and archive requests, without exceeding the professional boundaries of notarial practice.

Request Intake & Classification

Context: In notary offices, a lot of time is lost from the very first contact: poorly formulated requests, incomplete documents, information scattered between phone, email, and reception, and a lack of clarity around the actual type of request.

What it does: We capture the request through the website form, the official email address, or directly at reception, and turn it into a unified work file. We then classify it operationally by service type, so the team immediately knows who takes over the case and which administrative path follows. This classification is organizational and does not replace the final legal review.

Stack Involved: Website form, the office’s official email address, working document space, activity management system, operational calendar, and an automation platform that connects them all. The stack presented is indicative and can be adapted to any applications that provide APIs or standard integration methods.

Control & Impact: We reduce clarification calls and eliminate situations where the same request is interpreted differently by different staff members. In addition, we apply data minimization from the moment the request is received and maintain a complete audit trail of status changes, access, and communications.

Documents & Case File Completeness

Context: One of the biggest friction points is the lack of the right documents at the right time. Clients often receive different document lists, have to return to the office multiple times, and are not sure which documents are still missing from their case file.

What it does: We generate the document list based on the type of request and track case file completeness clearly: documents received, missing, illegible, expired, or pending review. We centralize the documents in an electronic working file, separate from the actual notarial archive, and can automatically trigger completion requests when documents are missing or formal issues appear. The verification remains preliminary and administrative, not legal.

Stack Involved: Working document space, forms and email for collection, an activity management system for tracking, and an automation platform for status changes, reminders, and additional requests. The stack is indicative and can be replaced with any API-compatible suite.

Control & Impact: The office gains instant visibility into the actual status of each case file and no longer has to work in parallel across phone calls, email, and paper. The notary receives cleaner, better-prepared case files, while clients receive consistent instructions instead of repetitive and conflicting follow-ups.

Appointment Scheduling & Client Communication

Context: Scheduling appointments too early or before a minimum level of case readiness is reached leads to unnecessary visits, wasted time, and a poor client experience. At the same time, limited visibility into the request status increases the workload on reception staff and administrative personnel.

What it does: We open appointment scheduling only once the case file has reached the minimum readiness threshold defined by the office. For incomplete files, we keep the status as pending completion and automatically send notifications, confirmations, reminders, and status updates to the client: request registered, missing documents, file under review, appointment confirmed, or request completed. In parallel, the team sees an internal dashboard with the current workload, intake order, and delayed case files.

Stack Involved: Operational calendar, client notification channel, activity management system, and automation platform. The stack presented is indicative and can be adapted to any applications connectable via API.

Control & Impact: Reduces the number of unsuccessful appointments and unnecessary return visits to the office. At the same time, it increases predictability for the team and improves the client experience, even during busy periods, by ensuring clear and consistent communication.

Archive, Traceability & Control

Context: After the notarial act is completed, the office continues to receive requests for copies, duplicates, extracts, or access to archived documents. At this stage, the main risk is not only delays, but also the lack of traceability and the uncontrolled exposure of sensitive documents.

What it does: We register follow-up requests, track the internal workflow of each request, and document who accessed the case file, for what purpose, and at what stage the request is being handled. We maintain strict control over access to archived content and use automation only for registration, tracking, notifications, and organization—not to autonomously release documents or make legal decisions.

Stack Involved: Document repository, automation platform, activity management system, management dashboard, and mechanisms for audit logging, access control, backup, and auditing. The stack is indicative and can be adapted to any infrastructure that provides APIs or other standard integration methods.

Control & Impact: We build a system in which every access, status change, approval, and communication can be tracked. This reduces operational risk, strengthens internal control, and enables more efficient management of case volumes, deadlines, and archive requests, without exceeding the professional boundaries of notarial practice.

Request Intake & Classification

Context: In notary offices, a lot of time is lost from the very first contact: poorly formulated requests, incomplete documents, information scattered between phone, email, and reception, and a lack of clarity around the actual type of request.

What it does: We capture the request through the website form, the official email address, or directly at reception, and turn it into a unified work file. We then classify it operationally by service type, so the team immediately knows who takes over the case and which administrative path follows. This classification is organizational and does not replace the final legal review.

Stack Involved: Website form, the office’s official email address, working document space, activity management system, operational calendar, and an automation platform that connects them all. The stack presented is indicative and can be adapted to any applications that provide APIs or standard integration methods.

Control & Impact: We reduce clarification calls and eliminate situations where the same request is interpreted differently by different staff members. In addition, we apply data minimization from the moment the request is received and maintain a complete audit trail of status changes, access, and communications.

Documents & Case File Completeness

Context: One of the biggest friction points is the lack of the right documents at the right time. Clients often receive different document lists, have to return to the office multiple times, and are not sure which documents are still missing from their case file.

What it does: We generate the document list based on the type of request and track case file completeness clearly: documents received, missing, illegible, expired, or pending review. We centralize the documents in an electronic working file, separate from the actual notarial archive, and can automatically trigger completion requests when documents are missing or formal issues appear. The verification remains preliminary and administrative, not legal.

Stack Involved: Working document space, forms and email for collection, an activity management system for tracking, and an automation platform for status changes, reminders, and additional requests. The stack is indicative and can be replaced with any API-compatible suite.

Control & Impact: The office gains instant visibility into the actual status of each case file and no longer has to work in parallel across phone calls, email, and paper. The notary receives cleaner, better-prepared case files, while clients receive consistent instructions instead of repetitive and conflicting follow-ups.

Appointment Scheduling & Client Communication

Context: Scheduling appointments too early or before a minimum level of case readiness is reached leads to unnecessary visits, wasted time, and a poor client experience. At the same time, limited visibility into the request status increases the workload on reception staff and administrative personnel.

What it does: We open appointment scheduling only once the case file has reached the minimum readiness threshold defined by the office. For incomplete files, we keep the status as pending completion and automatically send notifications, confirmations, reminders, and status updates to the client: request registered, missing documents, file under review, appointment confirmed, or request completed. In parallel, the team sees an internal dashboard with the current workload, intake order, and delayed case files.

Stack Involved: Operational calendar, client notification channel, activity management system, and automation platform. The stack presented is indicative and can be adapted to any applications connectable via API.

Control & Impact: Reduces the number of unsuccessful appointments and unnecessary return visits to the office. At the same time, it increases predictability for the team and improves the client experience, even during busy periods, by ensuring clear and consistent communication.

Archive, Traceability & Control

Context: After the notarial act is completed, the office continues to receive requests for copies, duplicates, extracts, or access to archived documents. At this stage, the main risk is not only delays, but also the lack of traceability and the uncontrolled exposure of sensitive documents.

What it does: We register follow-up requests, track the internal workflow of each request, and document who accessed the case file, for what purpose, and at what stage the request is being handled. We maintain strict control over access to archived content and use automation only for registration, tracking, notifications, and organization—not to autonomously release documents or make legal decisions.

Stack Involved: Document repository, automation platform, activity management system, management dashboard, and mechanisms for audit logging, access control, backup, and auditing. The stack is indicative and can be adapted to any infrastructure that provides APIs or other standard integration methods.

Control & Impact: We build a system in which every access, status change, approval, and communication can be tracked. This reduces operational risk, strengthens internal control, and enables more efficient management of case volumes, deadlines, and archive requests, without exceeding the professional boundaries of notarial practice.

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Business for Next

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We assess the processes worth orchestrating through Automation OS and define the governance conditions: thresholds, approvals, audit, and permissions. The result: a clear proposal for automatable workflows and a realistic implementation plan, built on a secure infrastructure with SSO/RBAC, encrypted secrets, and version control.

Request an analysis and you’ll have a 60-minute discussion with Blacksquare experts.

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We evaluate the processes that can be orchestrated through Automation OS: tasks, approvals, audit, and permissions. The result: a clear implementation proposal on a secure infrastructure (SSO/RBAC, secret management, and monitoring).

Business for Next

Request a free analysis of your processes

We assess the processes worth orchestrating through Automation OS and define the governance conditions: thresholds, approvals, audit, and permissions. The result: a clear proposal for automatable workflows and a realistic implementation plan, built on a secure infrastructure with SSO/RBAC, encrypted secrets, and version control.

Solicită analiză și veți avea o discute de 60-minute discussion with Blacksquare experts.

We automatically send an email with three meeting options, including the date and time.

We evaluate the processes that can be orchestrated through Automation OS: tasks, approvals, audit, and permissions. The result: a clear implementation proposal on a secure infrastructure (SSO/RBAC, secret management, and monitoring).

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Operational Control by Design

Real enterprise-level automation does not mean “more workflows.” It means speed with control: reproducible decisions, secure execution, and full traceability. Without this governance layer, any automation system risks amplifying errors, creating actions that are difficult to explain, and becoming fragile over time, especially as teams, platforms, and volumes grow.

BlackSquare combines enterprise discipline with the ability to deliver pragmatically. The management team brings over 25 years of combined experience in management, IT, and complex projects, alongside expertise in operational transformation, sales processes, system integration, technology, data, and AI. We understand what real production complexity looks like: multiple systems, different stakeholders, imperfect data, commercial pressure, and the need for fast results. That is why we approach automation not only from a technical perspective, but through a complete understanding of business reality: workflows, exceptions, ownership, internal control, team adoption, and operational risk. Automation OS is the expression of this experience: a product built to be used daily, not just presented well.