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
AI strategy & readiness
Assess the organisation's maturity, build a prioritised portfolio of use cases and define the framework that will make them possible.
EN UNE PHRASE
Few subjects, well chosen, genuinely carried.
THE PROBLEM
The situations that bring us in
- 01
AI initiatives multiply with no trade-offs and no consolidated view.
- 02
Management expects a plan, the teams expect a framework.
- 03
The data needed is neither identified nor accessible.
- 04
No criterion makes it possible to decide when to stop an experiment.
- 01THE PROBLEM
High expectations on AI, scattered experiments, and no basis on which to arbitrate the investments.
- 02WHAT AXENEO DOES
Maturity diagnosis, inventory and qualification of the use cases, prioritisation on value, feasibility and risk, definition of the governance framework and the trajectory.
- 03THE RESULT
A short, defensible portfolio, an explicit framework of use, and an adoption trajectory matched to the organisation's real maturity.
What we do
Diagnosis
- Maturity of data, technical foundation, skills and governance
- Inventory of the initiatives already under way
- Confidentiality and compliance constraints
- Capacity to operate, and cost model
Trajectory
- Qualification and prioritisation of the use cases
- Success criteria and quality thresholds
- Governance framework and permitted uses
- Roadmap and steering set-up
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
Frame an emerging AI effort
Set a framework before proliferation: permitted uses, data that can be drawn on, approval circuit for new initiatives.
Arbitrate an existing portfolio
Reassess experiments already under way: what deserves industrialising, what should be stopped.
Related case studies
Contact
AI strategy & readiness: 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.