A centralized AI knowledge platform rolled out to 45 companies and 3,000 employees across an enterprise group.
- Companies deployed
- 45
- Active employees
- ~3,000
- Unified platform
- Single layer
What we shipped
A generative AI knowledge assistant that unifies documents and organizational information across a diversified enterprise group.
Large enterprise groups operating across multiple subsidiaries suffer from fragmented knowledge and inconsistent communication. Information spreads across tools, teams, and departments.
Blueprint → AI Pilot → Production launch → Scale and operate.
We followed the Datablooz Delivery Model. See our process.
- Blueprint
Inventoried data sources across subsidiaries, defined access and governance, and designed the centralized knowledge repository.
- AI Pilot
Built a RAG-based assistant with structured metadata and indexing, tested on a pilot subsidiary.
- Production launch
Rolled out the knowledge assistant across 45 companies with role-based access and unified search.
- Scale and operate
Expanded to HR, legal, and compliance assistants, meeting summarization, and automated classification.
Business, technical, and governance outcomes.
- 3,000 employees on a single platform.
- 45 subsidiaries unified under one knowledge layer.
- Shorter information retrieval across teams.
- Stronger group-wide collaboration.
- Python
- LLMs
- LangChain
- Vector Database
- PostgreSQL
- Kubernetes
Per-subsidiary access control, structured metadata and indexing, and governed retrieval policies across business units.
Working on something similar?
Schedule a call. We will tell you honestly whether AI is the right move.
Reference calls available under NDA after the second working session.