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
RAG & knowledge management
Make the organisation's documentation estate usable: source preparation, augmented retrieval, citation and respect for access rights.
EN UNE PHRASE
The quality of the answer is capped by the quality of the source.
THE PROBLEM
The situations that bring us in
- 01
Knowledge is spread across several storage spaces, with no repository.
- 02
Several versions of the same document coexist, with no indication of validity.
- 03
Documentary access rights are not carried over by the search tools.
- 04
The answers obtained cite no sources, and therefore carry no weight.
- 01THE PROBLEM
A large, heterogeneous, versioned body of documents that staff cannot make use of.
- 02WHAT AXENEO DOES
Qualification of the corpus, preparation and chunking of the sources, indexing, design of the augmented retrieval, systematic citation and propagation of the access rights.
- 03THE RESULT
A search that returns answers with sources, up to date and consistent with each user's access rights.
What we do
Prepare the corpus
- Inventory and qualification of the sources
- Version management and documentary validity
- Extraction, chunking and metadata enrichment
- Carrying over the access rights and partitioning
Design the retrieval
- Indexing and retrieval strategy
- Source citation and confidence level
- Relevance evaluation against a test set
- Keeping the corpus current, and its life cycle
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
Support knowledge base
Equip the support teams with dependable search across procedures, past incidents and product documentation.
Regulatory or contractual corpus
Make a body of requirements or contracts searchable, with traceability of the clause cited.
Related case studies
Contact
RAG & knowledge management: 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.