Who it is for
- Companies with knowledge scattered across drives, CRMs and wikis.
- Teams that need grounded RAG rather than vague answers.
- Organisations connecting business knowledge, customers and history.
Service 02
Data Foundation & Knowledge Graph
Turn scattered documents, procedures and business knowledge into a reliable foundation for AI agents.
What changes
Your data becomes AI-readable through sources, relationships, business context and validation trails.
Deliverables
- Knowledge model: entities, relationships and taxonomy.
- Document ingestion and source-normalisation pipeline.
- Knowledge graph or vector database based on the use case.
- Governance model for versions, rights, sources and quality.
How it works
- Inventory and qualify useful sources.
- Define the business ontology and critical relationships.
- Structure, clean and enrich the documents.
- Build a grounded-search prototype and production plan.
Expected foundation: structured, traceable and maintainable knowledge that makes AI agents genuinely useful.Discuss this need