AI Decision Assurance for high-risk agents

Stop repeating
AI failures.

Notary captures real AI decisions as sealed evidence, replays failures, verifies fixes against the same conditions, and turns overrides into regression tests for future releases.

// One decorator. Every decision is sealed.
from notary import instrument # Your existing agent — unchanged. # Notary seals the inputs, outputs, and conditions. @instrument(secret_key=NOTARY_KEY) def run_agent(request): return agent.decide(request)
It's not the first failure. It's the repeat.

Your AI support agent fails. A human overrides it. A team patches the prompt or policy.

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.

73%
of AI agent failures recur after a model or prompt update
0
existing tools prove the fix works against the same conditions
rework cycles without sealed regression scenarios
The Core Loop

Every real failure becomes sealed evidence, a verified fix, and a regression gate for future releases.

1
Capture
2
Replay
3
Fix
4
Verify
5
Gate
Step 1

Capture

Notary seals the real interaction — inputs, conditions, model responses, and the human override — into a tamper-evident cassette.

Step 2

Replay

Replay the failure from sealed recorded responses. The exact conditions that caused the bad decision are reproduced deterministically.

Step 3

Fix

The customer developer applies the fix — a prompt change, policy update, or routing rule. Notary does not auto-fix agents.

Step 4

Verify

Run the fixed agent against the same recorded conditions. Notary verifies the expected outcome is now produced.

Step 5

Gate

The verified scenario is added to the release gate. Every future prompt, model, or policy change must pass this scenario before shipping.

See Notary in four real-world failure patterns

Each scenario shows the original bad decision, what was recorded, the fix, and what Notary proves.

Failed Human Handoff

Contact Center
Original DecisionCONTINUE_BOT — AI keeps answering despite repeated human requests
Recorded Conditionschannel=chat sentiment=negative human_request_count=3 escalation_policy=v3
Expected BehaviorESCALATE_TO_HUMAN
FixEnforce escalation after repeated human request or negative sentiment
What Notary ProvesThe fixed bot escalates under the same recorded conditions

Qualified Borrower Denied

Lending / Fintech
Original DecisionDENY — Applicant score 650 denied under threshold 700
Recorded Conditionscredit_score=650 threshold=700 policy_version=v2
Expected BehaviorAPPROVE
FixThreshold/policy update to 620
What Notary ProvesFixed policy approves under same recorded score — proof of fair-lending remediation

Necessary Care Auto-Denied

Healthcare / Insurance
Original DecisionAUTO_DENY — Prior-auth AI denies care despite high-risk physician note
Recorded Conditionsclinical_note=risk_high prior_auth=denied workflow=v4
Expected BehaviorESCALATE_TO_HUMAN_REVIEW
FixRequire human review when high-risk clinical note is present
What Notary ProvesFixed workflow no longer auto-denies under same recorded conditions

Qualified Candidate Rejected

Hiring / HR
Original DecisionREJECT — Resume screen rejects qualified candidate due to age proxy
Recorded Conditionsresume_screen=reject age_proxy=detected model_version=v1.3
Expected BehaviorADVANCE_TO_REVIEW
FixRemove proxy and route borderline cases to human review
What Notary ProvesFixed agent advances candidate under same recorded conditions
Forensic Control Center

Select a scenario, replay the failure from sealed evidence, verify the fix, and inspect the certificate.

Forensic Control Center
Scenario: Failed Human Handoff
Scenarios
Failed Human Handoff
Qualified Borrower Denied
Necessary Care Auto-Denied
Qualified Candidate Rejected
Replay Mode
Cassette
Replay runs from sealed recorded responses.
Sandbox
Escalation path where configured.
Production
Capture source only. No replay or fix testing.
Decision Graph
Customer Request
Sentiment: Negative
CONTINUE_BOT ✗
ESCALATE_TO_HUMAN ✓
Fix Diff
- routing_decision = CONTINUE_BOT
- if human_request_count < 3: continue
+ if human_request_count >= 2: escalate
+ if sentiment == negative: escalate
Certificate Verification
Fix verified against sealed cassette
SHA-256: a3f2c9…b81e
Not observability. Not QA analytics.
Decision assurance.
ObservabilityDatadog, LangSmith
Sees traces and failures. Shows what happened.
Contact-Center AnalyticsNICE, Zendesk
Measures handoffs, CSAT, escalations. Counts how often it happened.
GovernancePolicy tools
Documents policies. Records what should happen.
NotaryDecision Assurance
Replays real failures from sealed evidence. Verifies the fix works against the same conditions. Gates future releases. Produces proof auditors can verify.
Notary does not replace Zendesk, Salesforce, Datadog, LangSmith, or NICE. It sits beside them. When they surface a failure or override, Notary turns it into sealed evidence, a replayable scenario, and a release-gate test.
Two buyers. One proof.

Business Operators

VP Customer Support Head of CX AI Automation Lead Operations Owner
Turn human overrides into regression tests so the same AI support failure does not ship twice.
Repeated failures Bad handoffs Safer AI releases Lower rework

Compliance / Legal

CCO CISO General Counsel AI Risk
Prove what happened, prove the fix worked, and produce evidence auditors can verify.
Evidence Chain of custody Fix proof Audit readiness
Cryptography is not the product.
It is why the proof is defensible.
🔓

Open-Source SDK

The instrumentation layer is open-source. Anyone can inspect how decisions are sealed.

📼

Sealed Cassette Replay

Replays run from tamper-evident recorded responses — not against live systems.

🔑

BYOK Support

Bring your own keys. You control the signing infrastructure for all sealed evidence.

🛡️

Tamper-Evident Evidence

Every cassette is cryptographically sealed. Any modification is detectable.

📜

Publicly Verifiable Certificates

Fix proofs are independently verifiable — no trust in Notary's infrastructure required.

🔄

Reproducible Independent of Provider State

Replay from sealed cassette is deterministic. It does not depend on the model's current state.

"Cryptography is not the product. It is why the proof is defensible."

One decorator. Every decision sealed.

Install the open-source SDK and instrument your agent in minutes.

Install
$ pip install notary-ai
Instrument
from notary import instrument # Seal every decision your agent makes. # Overrides and failures become replayable cassettes. @instrument(secret_key=NOTARY_KEY) def run_agent(request): return agent.decide(request) # Replay a failure from sealed evidence: notary.replay(cassette_id="fail_2026_07_16_001") # Verify a fix against the same conditions: notary.verify( cassette_id="fail_2026_07_16_001", fix=run_agent, expected="ESCALATE_TO_HUMAN" )

Stop repeating AI failures.

Notary turns real overrides and incidents into replayable proof and release gates.