Notary turns real AI decisions, human overrides, disputes, and incidents into sealed replayable scenarios — then verifies fixes and gates future releases against the same failures.
Your AI agent fails. A human overrides it. A team adjusts the prompt, model, policy, or code.
Two weeks later, the same failure ships again.
Logs can show the failure. Analytics can count it.
Notary turns it into a replayable test so it does not recur.
The same AI mistake reappears after releases because old failures are not converted into tests.
Teams ship fixes based on belief, not replayed proof under the original conditions.
When legal or compliance asks what happened and how it was fixed, logs are not enough.
Every real failure becomes sealed evidence, a verified fix, and a regression gate for future releases.
Notary seals the real decision or override — inputs, conditions, model responses — into a tamper-evident cassette.
Replay the failure from sealed evidence. The exact conditions that caused the bad decision are reproduced deterministically.
Run the fixed agent against the same recorded conditions. Notary verifies the expected outcome is now produced.
The verified scenario is saved to the scenario library with its sealed cassette and expected outcome.
Every future prompt, model, policy, or code change must pass the scenario library before shipping.
Produce a certificate showing every scenario passed. Auditors and stakeholders can verify independently.
Each demo shows the same loop: what the AI saw, what it decided, why that was wrong, what the fix changed, and what future releases must now pass.
channel=chat intent=billing_dispute sentiment=negative human_request_count=3 model=Claude/GPT support agent policy=escalation-v3credit_score=650 threshold=700 policy=lending-v2auth_type=prior_auth clinical_note=risk=high decision=AUTO_DENYscreen_stage=resume proxy_flag=age decision=REJECTA control center, not a log viewer. Select a scenario, replay from sealed evidence, verify the fix, and check the certificate.
Operations, compliance, legal, and AI teams get the same answer: what failed, what fixed it, and whether the next release will repeat it.
Turn human overrides, failed handoffs, and complaints into replayable scenarios for the next AI release.
Show what happened, why it happened, how it was fixed, and that the proof was not altered.
Replay production failures before every prompt, model, policy, or code release.
Keep automation gains while controlling risk, support quality, and release confidence.
Observability sees failures. Contact-center analytics measures them. Governance tools document policies. Notary replays real failures, verifies fixes, saves scenarios, and gates future releases.
It is why the proof is defensible.
The instrumentation layer is open and auditable.
Replay runs from sealed recorded responses, not live systems.
Bring your own keys. You control the sealing and verification.
Any alteration to the cassette is detectable on verification.
Proofs can be independently verified by auditors.
Independent of the provider's current state.
"Cryptography is not the product. It is why the proof is defensible."
Four steps: instrument the agent, replay the failure, verify the fix, and save the scenario so the same mistake does not ship again.
The SDK captures the real decision path — prompt, model output, API/tool calls, policy conditions, and final decision — then seals it as evidence.
Replay runs from the sealed cassette: the exact recorded responses the agent saw at decision time. No production system is called.
The customer's developer supplies the fix. Notary runs the fixed agent against the same recorded conditions and checks the expected outcome.
The verified failure becomes a replayable scenario. Future prompt, model, policy, or code releases must pass it before shipping.
Notary turns overrides, incidents, and disputes into sealed proof and release gates.