Enterprise services

AI knowledge assistant for enterprise teams

answer time < 3s

  • RAG
  • Vector search
  • Support automation
  • Access control
AI knowledge assistant for enterprise teams
Project interface preview

Problem

Operational knowledge lived across scattered docs, and both new hires and support teams kept repeating the same questions.

Solution

We indexed policy and product material into a permission-aware retrieval layer and shipped a RAG assistant on top of it.

Value

Repeated support load dropped and the team turned static documentation into reusable AI-ready knowledge.

A complete loop from knowledge structuring to AI answering

The project started by organizing policies, product manuals, support SOPs, and historical Q&A, then built chunking, access rules, and citation tracking to keep AI responses grounded and permission-aware.

Delivery scope

  • Document cleanup, chunking rules, and vector retrieval setup
  • Admin knowledge-base console with cited sources
  • Support-side Q&A workspace, human handoff, and session logs
  • Role-based access control, audit logs, and sensitive-question guardrails

Outcome

After launch, common questions receive cited answers within 3 seconds, support teams spend less time searching documents, and the knowledge base becomes an maintainable operating asset.