01
Audit
Task mapping, available data, risks, expected gains.
AI for business — online and on-site
Useful AI is not a demo: it is a tool configured on your data, connected to your systems and adopted by your teams. We lead AI projects end-to-end — online, and on-site when your constraints require it.
Who it is for
- Leaders who want to automate support, data entry, qualification or reporting
- Industries and services with confidentiality or connectivity constraints (offline AI)
- Teams who tried consumer tools and want a reliable system
Problems we solve
- Hours lost on repetitive tasks (emails, tickets, documents)
- Sensitive data that cannot leave your premises
- AI tools bought but never adopted
- No way to measure what AI really brings
What we deliver
- 01Usage audit and selection of high-return cases
- 02Assistants and agents connected to your data (documents, CRM, ERP, product base)
- 03Process automation (classification, extraction, replies, reports)
- 04Models adapted to your business vocabulary, deployed in cloud or on your servers
- 05Governance: access rights, traceability, training, gain measurement
How we work
Full method →02
Pilot
One use case in limited production, measured over a few weeks.
03
Rollout
Industrialisation, integration, team training, KPI tracking.
04
Adaptation
Continuous improvement of models and rules from real usage.
Typical timing
Audit: 2 weeks. Pilot: 4–6 weeks. Rollout: by scope.
Example mandates
- Internal support assistant connected to product base and customer history
- Automatic extraction and filing of incoming documents (invoices, contracts)
- Offline AI system for an industrial site without cloud access
Frequently asked
Does our data stay with us?
Yes if you want: we deploy models on your servers or in a private cloud. We decide together based on data sensitivity.
Which tools do you use?
The best models on the market (open or proprietary) per case, integrated into your existing tools. No single-vendor lock-in.
How do you measure the gain?
One KPI per use case is set before the pilot (time, volume, errors, satisfaction) and tracked after rollout.