Enterprise AI / Knowledge

Connecting enterprise search, model routing and role-aware AI access

A multi-backend AI platform connected enterprise search and approved organisational data with secure routing, semantic retrieval and role-aware access rather than forcing every workflow through one model or one data silo.

Enterprise SearchRAGModel RoutingAISemantic RetrievalAccess Control
Evidence standard. This case study describes engineering work and platform capabilities that were actually implemented. Customer identities and internal system names are intentionally omitted.

The problem

Enterprise AI adoption is limited when models cannot reach authoritative organisational context—or when access ignores existing security boundaries.

Engineering response

  • Implemented secure AI service routing across multiple model backends.
  • Connected engineering, documentation, work-management and approved enterprise datasets to search.
  • Used semantic retrieval alongside structured access.
  • Preserved role-aware access patterns.
  • Exposed the capability through engineering interfaces.
Multi-modelRoute workloads appropriately.
Context-richApproved enterprise sources.
Role-awareRetrieval respects access design.

Have a similar problem?

We can review the architecture, evidence and operating constraints before proposing a pilot or engineering engagement.

Book a Technical Discovery