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Useful AI assistants - not gadgets

We deploy AI agents on real use cases, based on your validated documents.

Interface d'intelligence artificielle au service d'une entreprise

For organizations that want to test smartly

Support teams

Repetitive questions get instant answers; complex cases escalate to humans.

Teams handling incoming requests

Emails, requests and documents classified, qualified and routed automatically.

Knowledge keepers

Your procedures and repositories become queryable in natural language.

Do you recognize yourself ?

These signals show that a structured project would pay off more than day-to-day firefighting.

  • The same questions come back ten times a day and monopolize your experts.
  • Incoming requests wait to be read before even being sorted.
  • Know-how lives in the heads of two people close to retirement.
  • You tested a public chatbot: it invented answers and discredited the topic.
  • You want to use AI without sending your sensitive data anywhere.
Our approach

A proven method, no improvisation

1
Scoping
Selecting a use case with proven value and a controlled data perimeter.
2
Foundations
Preparing the corpus: procedures, FAQ, structured and validated documents.
3
Development
Agent configured with strict rules: authorized sources, explicit limits.
4
Pilot
Real-scale test with a small group, measurement of answer quality.
5
Industrialization
Progressive rollout, continuous supervision and improvement loop.

The scope, no grey areas

Internal conversational assistants

Answers based exclusively on your validated documents, with source citation.

Automatic triage & qualification

Incoming requests categorized, prioritized and assigned per your rules.

Document preparation

Report drafts, minutes and letters prepared for human review.

Data governance

Reasoned hosting and model choice: your sensitive data stays under control.

Human supervision

The agent proposes, a human approves: no critical action is automated blindly.

Value measurement

Volumes processed, resolution rate and satisfaction tracked since the pilot.

Sources
cited for every answer - no invention
100%
of critical actions validated by a human
1
use case at a time - driven by value, not fashion

Concrete, not theoretical

Connected to your existing stack

Intranet & wiki Email systems ERP / LIMS (consultation) Existing document base

What you need to know about AI Agents

That is THE question to ask, and it shapes our architecture: choice between local or contractual cloud model, exclusion of sensitive data, access logging. A security diagnostic precedes any deployment.

Because they answered "in the void", without a controlled corpus or guardrails. Our approach reverses the logic: the agent only answers from your validated sources and explicitly says when it does not know.

A targeted pilot stays deliberately modest: a few weeks of scoping and development on a single perimeter. The goal is to prove value before scaling - never the reverse.

Thinking about a AI Agents project?

On-site diagnosis, an honest assessment and a prioritised action plan — no commitment. Reply within 24 working hours.