Enterprise knowledge management & RAG
Deploy an internal AI assistant that answers questions from enterprise documentation (procedures, wiki, technical docs).
+25%
information productivity gain
The problem
No reliable steering on enterprise knowledge management & RAG.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Internal knowledge is fragmented and hard to access.
Prerequisites: required data & tools
Required data
- Internal documents
- wiki
- procédures
- emails
Compatible tools
- Claude + RAG
- Microsoft Copilot
- Glean
- custom RAG
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 3-6 months
In 3-6 months: Deploy an internal AI assistant that answers questions from enterprise documentation (procedures, wiki, technical docs). with measured impact on information productivity gain.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for enterprise knowledge management & RAG
Operational engine for enterprise knowledge management & RAG
Steering dashboard with alerts
Action playbook and governance
Expert insight
Most deployed LLM use case in enterprises. 20–30% productivity gain in information search.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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Maturity Auditor
Scorecard + roadmap 90 jours pour cadrer la transformation data/AI.
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