Gather the knowledge
We connect the document stores and systems the assistant should use and decide who may see what.
Internal AI assistants that answer from your own policies, manuals and records with citations, and AI agents that triage email and update systems — with access control and human oversight.
An AI knowledge assistant is a chat interface that answers staff or customer questions using your organisation’s own documents and data — policies, manuals, procedures, contracts, product information and records. It uses retrieval-augmented generation (RAG): the system first finds the relevant passages, then the AI writes an answer from them and cites its sources, respecting each user’s access rights.
We connect the document stores and systems the assistant should use and decide who may see what.
Content is split, indexed and kept in sync so answers come from current documents, with citations.
Agents are given specific, logged tools — create a ticket, update a record — with approval steps where the risk warrants it.
A test set of real questions is scored before launch and after every change; feedback from users improves it over time.
Grounding answers in retrieved documents, requiring citations and instructing the model to say when it does not know sharply reduces this. We test for it explicitly before launch.
Yes. Retrieval is filtered by the user’s permissions, so the assistant only uses documents that person could open themselves.
An assistant answers questions. An agent can also take actions in other systems — such as updating a record or sending a reply — within limits you set.
Describe the process, the system or the site. We’ll come back with a clear, practical view of what can be automated — and what it would take.