Business services
AI documentation assistant
Make a body of procedures and documentation searchable, with sources cited and access rights respected.
- Generative AI
- RAG
- Knowledge management
Artificial Intelligence & Automation
Generative AI & assistants
Design assistants and copilots grounded in internal documents, reference data and processes — and evaluated on the quality of their answers.
EN UNE PHRASE
A useful assistant knows the organisation's context.
THE PROBLEM
The situations that bring us in
- 01
Generic assistants ignore the organisation's vocabulary and rules.
- 02
Answers cannot be traced to a source: there is no way to check them.
- 03
Document access rights are not respected by the tool.
- 04
No measurement says whether quality is improving or slipping.
- 01THE PROBLEM
A need for assistance on internal content, which generic tools cannot handle dependably or compliantly.
- 02WHAT AXENEO DOES
Scoping of the uses, grounding on internal sources, design of the guardrails, a representative test set and integration into the everyday tools.
- 03THE RESULT
An assistant whose answers carry their sources, whose quality is measured, and whose scope of use is explicit.
What we do
Design
- Scoping of uses and expectations, audience by audience
- Grounding on internal sources and respect for access rights
- Guardrails, scope of answer and escalation cases
- Integration into the existing tools
Evaluate
- Representative test set and acceptance criteria
- Measurement of relevance and of the dependable-answer rate
- User feedback loop
- Quality tracked over time
The Artificial Intelligence & Automation method
This domain sits within the pillar’s overall method.
- 01
Identify
We start from the processes and from real points of friction. A use case with no business owner does not enter the portfolio.
- 02
Scope
Perimeter, data involved, success criteria, acceptable quality threshold and stopping conditions. Success is defined before the work starts.
- 03
Prototype
A short prototype, on real data, evaluated against a representative test set. The aim is to decide, not to convince.
- 04
Integrate
The use is plugged into the process and the existing applications. Without integration, adoption does not happen.
- 05
Industrialise
Operations, supervision, costs, scaling, version and model management. A use in production is a service.
- 06
Govern
A usage framework, quality control over time, traceability and accountabilities. That is what makes extending the scope possible.
USE CASES
Where we step in
Assistant on internal procedures
Answer the recurring questions about processes, citing the applicable procedure and its version.
Support for operational writing
Produce standardised deliverables — minutes, standard replies, summaries — in the organisation's format and vocabulary.
Related case studies
Contact
Generative AI & assistants: let’s talk about your context
We start from your process. A short conversation is enough to tell a use case that will hold in production from an experiment that will stop at the prototype.