Flagship · Agentic AI
RAG & Knowledge Assistants
Retrieval-augmented assistants over your SharePoint, Dynamics and document stores, permission-aware.
Most organisations hold years of institutional knowledge in SharePoint and never find it. A retrieval-augmented assistant lets someone ask a plain question and get an answer drawn from your own documents, with citations they can open and check.
The engineering here is mostly not AI work. It is deciding what to index, how to chunk it so retrieval is precise, and how to filter results by the asker permissions. Get those right and the model is almost interchangeable. Get them wrong and no model rescues it.
What you get
- Indexed, chunked and embedded corpus from your own sources
- Permission-trimmed retrieval, enforced at query time
- Answers with citations back to the source document
- An explicit "not found in your content" path
- Refresh pipeline so the index tracks the source
Questions
How current are the answers?
As current as your index. We build a refresh pipeline against your sources, and we surface the document date with the citation so the reader can judge for themselves.
What if the answer is not in our documents?
It says so. An assistant that admits the gap is far more useful than one that fills it with something plausible, and it is the behaviour we test for most deliberately.
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