If senior people spend half their week repeating the same SOP answers, you do not need another Slack channel. You need retrieval over the real docs, with citations and permission boundaries. A RAG knowledge base is that system, measured on your actual questions.
Why the usual fixes fail
- Dump everything into one vector store. Permissions and junk docs poison answers.
- No eval set. You cannot tell if a model swap made things worse.
- Chat UI without tools. Staff still leave the chat to check the live system. Pair with MCP when they need live data.
How the system works
- Inventory sources and who may see what.
- Ingest and chunk with metadata (source, product, locale).
- Retrieve and answer with citations in a staff or customer UI.
- Evaluate on a labeled question set you approve.
- Operate. Refresh jobs, logging, and a path to update docs.
What it plugs into
Your doc stores and optional APIs via AI Agents & RAG. Customer-facing layer: Customer Support. Live ops tools: Business MCP.
Timeline and next step
Pilot corpus often live inside two weeks. Book a free discovery call or run the free ops audit.
