Proof-of-Completion for AI agents

It answers a question that authorization, observability, and evals cannot: not could the agent act, not what the trace looked like, but whether the action truly landed, closing the completion gap.

Authorization checks whether an agent may act. Observability shows what happened in the trace. Evals judge whether behavior looked successful. None of them query the system of record after the fact.

Proof-of-Completion is different by construction: it does not ask an AI whether another AI succeeded. It checks Stripe, Zendesk, Salesforce, and the other systems your business actually trusts, and reports what they say, deterministically.

For each high-risk action, Postcept evaluates a set of postconditions against the system of record, the conditions that must hold for the action to count as complete. Existence, amount, customer identity, status, duplicate checks, and any policy-required steps are each verified independently.

Every verification produces a Postcept Receipt: a signed, tamper-evident record of exactly what was checked and what the systems of record reported.

Postcept starts where false completion hurts most: AI support and fintech operations where agents issue refunds, apply credits, cancel subscriptions, and resolve tickets. It verifies the Stripe refund before the Zendesk ticket closes, detects duplicate refunds from retries, and produces a receipt for audit and recovery.

The reliability of these agents can finally be measured with a single number: Verified Completion Rate.