Agent Transaction Assurance

Know what an AI agent was allowed to do—before value moves.

A proposed, bounded pre-production review for teams building transaction-capable agents. The review is designed to examine authority, policy, replay, delivery, and evidence paths using synthetic cases—without custody or production credentials.

Review the proposed scope View synthetic evidence
Synthetic evaluation No custody No real transaction Not certification

The assurance question

Can the transaction be explained, constrained, and replayed?

The review follows the evidence chain rather than trusting a successful API response or an agent’s narrative.

01

Was this the authorized agent and counterparty?

Identity & scope
02

Did policy and mandate permit the amount and purpose?

Authority
03

Did the delivered outcome match the deterministic contract?

Delivery
04

Can sanitized evidence detect replay and support review?

Evidence

Representative evidence

A readable decision—not a black-box score.

This example is generated from the existing local synthetic challenge. Toggle between the accepted and rejected cases.

The cases below are synthetic outputs from a local prototype. They are not customer results, a formal audit, certification, production validation, live-protocol conformance, or evidence that a real transaction occurred.

PASS Synthetic · not certification · no real transaction
  • Agentagent-alpha
  • Counterpartyservice-beta
  • Amount3 TEST-USD (fictitious)
  • Purposeuppercase
  • OutcomeHELLO ASSURANCE
  • ReasonAll local checks passed

The stored receipt uses an unkeyed SHA-256 integrity digest. It is mutation evidence—not an authenticated signature or external trust anchor.

Evidence basis: a local synthetic prototype with a PARTIAL verdict. No customer engagement, production environment, authenticated signer identity, live-protocol integration, market demand, or price validation was tested.

Proposed review outputs

A concise chain connecting the actor, counterparty, available synthetic balance, policy, mandate, request, and outcome.

  1. Plain-language PASS or FAIL with reason codes.
  2. Human-readable HTML result for decision makers.
  3. Structured receipt for replay and engineering review.
  4. A separate privacy-minimized event record omitting raw input, synthetic party IDs, and synthetic amounts; the structured receipt retains the complete fictitious evidence chain.

Proposed fixed-scope review

Evidence for a decision, not a compliance performance.

Boundary mapActors, authority, transaction path, data exposure, and explicit exclusions.
Adversarial synthetic casesPolicy, mandate, counterparty, replay, delivery, and missing-evidence failures.
Findings registerObserved evidence, practical impact, severity rationale, and remediation priority.
Decision-ready evidence packReadable results, structured receipts, and an honest statement of what remains unvalidated.
Proposed bounded retestA scope-to-be-agreed check of corrective actions—not an open-ended implementation project.
Scoping statusThis private concept has no validated price or standard delivery timeline. Scope, timing, and commercial terms require separate owner approval before any offer is made.

Explicit boundaries

What this review is not.

  • Not legal, financial, or regulatory advice.
  • Not a formal audit, certification, or guarantee of safety.
  • Not authorization to operate real transactions.
  • Not custody of funds, wallets, private keys, or production credentials.
  • Not proof of protocol conformance without live-spec integration work.
  • Not a substitute for accountable human launch authority.

Qualification

Best suited to a concrete pilot decision.

The review is useful when a team has a bounded transaction flow and an accountable owner—not when the project is still only an idea.

You are preparing an agent-mediated payment, purchase, or value-transfer pilot.

You can identify the policy owner and intended authority boundary.

You need evidence to inform—but not authorize—a launch, remediation, or risk-acceptance decision.

You can begin with synthetic or sandbox data and keep production credentials out of scope.

Private scoping conversation

Bring one bounded transaction flow.

We will determine whether the proposed review fits, what synthetic evidence is available, and what must remain out of scope before any commitment is made.

Email Opulence Digitech