SOURCE AUTHORITY / TRUST

Can your AI
prove its authority?

Check the source. Challenge its instructions. Verify delegated permission. Allow, escalate or block—with an evidence trail behind every decision.

Model-agnostic control concept · Early-stage pilot software

AUTHORITY / EVIDENCE GATECASE TR-002
Proposed action Confirm a customer commitment
Source revisionVERIFIED
Approved sourcesCONFLICT
Delegated scopePERMITTED
DECISIONESCALATE / HUMAN REVIEW
Illustrative · Fictional example
INPUTAI answer / actionWhat the agent proposes
AUTHORITYDocument & revisionValidity and applicability
SECURITYSource integritySuspicious content check
PERMISSIONDelegated scopeCan this agent act?
DECISIONAllow / Escalate / BlockExplicit gate outcome
RECEIPTAudit evidenceWho, why, based on what
Interactive prototype

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.

Live decision states

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.

Evidence control / demo engine

Approved source. Permitted action.

PROPOSED AI QUESTION

Can the support agent share an approved milestone date?

EVIDENCE RECEIPT · TR-001ALLOW
Source authorityCURRENT / APPROVED
Decision timestamp (UTC)—
Authority to actPermitted
Source revisionRev 04
Decision reason: Current approved source supports answer.
Next action: Permitted: issue approved response
Fictional scenario · illustrative receipt
Integration approach

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.

Pilot boundaries

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.