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Data under control
Invoices, contracts and client correspondence are hosted in Monaco or on a private European cloud and never used to train a third-party model. Every access is logged, in line with law n°1.565.
Sector · Business services
Invoicing, data entry, filing, reporting, emails: in a service company, support functions take up valuable time. AI takes over the repetitive share and lets your teams focus on clients.

In a service company, AI automates invoicing and reminders, document data entry, filing, activity reporting and first-line email replies. Your teams keep the relationship and the decision. For a team of ten, our estimator puts the time freed up in the first year at between 970 and 1,450 hours, on the sector’s three most common tasks.
Every company knows these tasks and each carries them out a little differently. The audit therefore starts with your actual processes: who does what, with which tools, in how much time. That is what makes it possible to choose the two or three automations that pay off most, rather than equipping everything at once.
We explain why a prototype must run on your real cases before any roll-out in our analysis from POC to production.
Five tasks
Our estimator’s deliberately cautious assumptions: each task is weighted by the share of staff who actually perform it.
| Task | Weekly time | Automatable share | Staff involved |
|---|---|---|---|
| Invoicing & reminders | 5 h | 75% | 35% |
| OCR & data entry | 5 h | 80% | 40% |
| Predictive filing & archiving | 4 h | 70% | 60% |
| Reporting & dashboards | 4 h | 65% | 50% |
| Emails & support | 5 h | 55% | 100% |
Weekly time measured for a staff member who actually performs the task. An audit replaces these averages with your figures.
What stays human. The client relationship, negotiation, management trade-offs and any reply that commits the company. AI prepares and proposes; your teams validate.
The framework
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Invoices, contracts and client correspondence are hosted in Monaco or on a private European cloud and never used to train a third-party model. Every access is logged, in line with law n°1.565.
02
Reminders, replies and documents prepared by AI are submitted for human approval whenever they commit the company. Every action is logged.
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Processing personal data with an AI system calls for an up-to-date register and, depending on the risk, an impact assessment under law n°1.565. These deliverables are part of the engagement. Our breakdown of the law.
Frequently asked questions
Twelve weeks at most from immersion to production, with a prototype on your real cases from week four. See the method.
With a four-to-six-week audit: process mapping, opportunity matrix and costed roadmap. You know what is worth automating before you invest.
No. We design, deploy and train. The documentation we hand over lets your teams run the tools without us.
A digital transformation project, including AI, may be eligible for the Fonds Bleu. We help you check eligibility and support you in putting the application together, in partnership with a Monaco-based provider. Our Fonds Bleu guide.
In Monaco or on a private European cloud, as agreed at the diagnostic stage. The data is never used to train a third-party model, and every access is logged.
A first prototype runs on your real cases within four weeks. The full cycle, from immersion to production, takes no more than twelve weeks, with a monthly review of measured gains.
The eight sectors
Contact
A 30-minute conversation to identify a first high-impact use case. Confidential, with a non-disclosure agreement from the first conversation.
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