provenance
Answers should trace back to the material they rely on, especially when the domain is regulated or policy-heavy.
[Trust] high-trust AI
WTL designs regulated knowledge systems for teams that cannot rely on generic chatbot behavior. The public posture is simple: provenance, citations, privacy boundaries, role-based access, and workflow boundaries come first.
Answers should trace back to the material they rely on, especially when the domain is regulated or policy-heavy.
Citations turn an AI response into a reviewable artifact instead of a polished guess.
Private records, user context, and source material need explicit boundaries before they become assistant context.
Different operators should see and do different things; trust starts with the surface matching the role.
The system should know when to answer, when to draft, when to ask for review, and when to stop.
[Posture]
01Verified knowledge systems are not generic chatbots with a stricter prompt.
02Regulated knowledge systems need review paths, source status, and escalation behavior before conversational polish.
03High-trust AI should make uncertainty visible instead of hiding it behind confident language.