The question has changed. Not “can AI answer?” — but “can you evidence the answer?”
In regulated work, the test of an AI answer isn’t whether it sounded right at the time. It’s whether, months later — in front of an auditor, an ombudsman or a court — you can show why it said what it said, and what the rules were when it said it.
Most AI tools can’t. KnowledgeFlow™ was built so you can.
The three evidence layers
The strip — on every answer
Every answer arrives with its working visible: which documents it drew on, which passages, and which version of the knowledge base was in force. Officers see the grounding without having to ask for it.
The drawer — one click deeper
Open any answer’s evidence drawer to see the full picture: the source passages in context, the knowledge-base version, and when the answer was given. Not a summary of the evidence — the evidence.
The pack — for when it matters
Turn any answer into an evidence pack: the answer, its citations and its knowledge-base version in a single record you can hand to an auditor, an ombudsman or a court. The conversation your officer had in seconds becomes the evidence your organisation keeps for years.
Built for the record-keeping duty
Awaab’s Law doesn’t only set deadlines. It requires you to keep records of how you complied — investigations, decisions, and correspondence with residents and contractors. The Housing Ombudsman’s Code expects complaint responses that reference the relevant policy. Inspections and audits, in every sector, come down to the same demand: show us.
The evidence layer is that demand, answered in advance. Every answer and every draft carries its citations and its knowledge-base version — proof not just of what your team did, but of what guidance was in force when they did it.
The other half: kept accurate
A record only means something if the knowledge was right at the time. That’s the other half of the system: every assistant is maintained against a named regulatory register, on a logged review cycle — so the version your evidence points to was the version that should have been in force.
The evidence layer proves what your team was told. Regulatory Watch makes sure it was right. Neither is much use without the other, which is why KnowledgeFlow does both.
Private by design
KnowledgeFlow runs inside your own Azure tenant. Your data — and your evidence — stays in your environment and never trains anyone else’s models. The platform and our practice are certified to ISO 27001 (Security Management) and ISO 42001 (Artificial Intelligence).
Ask us to open the drawer
Book a demo with a hard question from your own world. Watch the answer arrive with its working, open the drawer yourself, and decide whether it would satisfy the person who scrutinises yours.
No pushy sales. Just a straight conversation about whether this is right for you.