The fastest way to lose trust in an AI assistant is to catch it inventing a policy. In a contact centre that is not an embarrassing demo — it is a customer told the wrong refund window, or a compliance statement that was never approved.
The Q-Max AI Knowledge Base is built to make that failure mode visible rather than silent. It uses retrieval-augmented generation: before answering, it retrieves the relevant passages from your own documentation and answers only from what it found, with the sources attached.
Grounded, cited, checkable
Every answer arrives with the passages that produced it. An agent reading a suggested reply can see the source document, the section and the wording — and can tell at a glance whether the answer is solid or whether the underlying article is out of date.
- Ingest existing material — policy documents, product manuals, tariff sheets, internal wikis.
- Answers cite their sources; agents can open the passage before sending.
- When retrieval finds nothing relevant, the assistant says so instead of guessing.
- Serves both the agent console and customer-facing self-service from one corpus.
- Update the document, and the answers update — no retraining cycle.
One corpus, both audiences
Because the same knowledge base serves the agent console and the self-service channels, customers and agents stop working from different versions of the truth. When a policy changes, it changes once.
“An assistant that admits it doesn't know is worth more than one that is confidently wrong.”