The AI trust layer for consequential decisions.
Source Authority Trust sits alongside your model and orchestration stack. It asks whether evidence is authoritative and whether an agent is actually permitted to act—not merely whether the output sounds confident.
Decisions you can inspect—not just trust.
Test all three states, then export an illustrative receipt. The example uses fictional business documents, not customer records.
Choose the evidence. See the outcome.
Three deterministic, illustrative situations. This is an interactive prototype, not a production deployment.
Click each scenario to generate an illustrative Evidence Receipt.
Approved source. Permitted action.
PROPOSED AI QUESTION
Can the support agent share an approved milestone date?
Layer in. Don't rip out.
The intended integration is a policy/evidence decision gate beside an existing agent platform. A production API, formal security assurances and provider-specific integrations have not yet been represented as completed capabilities.
Start with one decision.
Define the authorised evidence set, rule precedence, delegated permissions, failure states, human escalation and receipt required for a bounded demonstration. Then measure false allowances and reviewer burden.