Answers grounded in your policies, not in general knowledge.
Bring in your own documents and connect the places your organisation already writes things down. From then on answers cite your policies, contracts and records, and specialists you configure reason from the precedents you actually follow.
Why It Matters
What changes when you run this at your size.
Generic AI is confidently wrong about your business
A model that has never read your policies will answer questions about them anyway. That is the failure mode that turns an AI programme into an incident. Grounding answers in your own documents, with a citation attached, is what makes the output usable in a regulated setting.
Sensitive material is screened before it can reach an answer
The risk of pointing AI at your document estate is that it surfaces the wrong thing to the wrong person. Material is screened for personal data, HR files, medical and legal content and financial detail before it becomes available, and anything flagged waits for a person to decide.
Confidential knowledge does not need a system of its own
A set of documents can belong exclusively to one specialist, invisible to everyone else and surfacing only when that specialist is asked. Legal or board material can live in the same platform without being reachable by the rest of the organisation.
What It Does
The detail behind the claim.
Connect the wikis, shared drives, document libraries and internal sites your organisation already relies on, and choose exactly which parts are in scope. They are kept current on the schedule you set rather than by someone remembering.
Bixie looks for what actually answers the question rather than documents that happen to mention the words, and prefers the most recent and most authoritative version. A harder question gets a deeper search.
Responses link back to the document behind them, so a reader can check the answer rather than take it on trust. This is the difference between something you can put in front of an auditor and something you cannot.
An expert is a specialist grounded in your material with limits you set on what it may say and do. Ask several at once when a question spans domains, or have two argue opposing positions to surface the objection that would otherwise arrive in the board meeting.
For a question that deserves more than a quick answer, a specialist breaks it into parts, works through every source it has, reconciles what it finds and ranks the best answers.
Worth knowing
- Grounding improves accuracy, it does not guarantee it. Anything consequential should still sit behind an approval.
- Quality depends on your documents. If your policies contradict each other, the answers will surface that rather than resolve it.
By Function
Where teams apply this first
See it against your own process
Bring something that currently costs your team a day a month. We will build it on the call rather than describe it, and you can watch every step it takes.