AI Decision Assurance with Scenario Intelligence

Stop repeating AI failures.

Notary turns real AI failures, human overrides, and disputes into replayable scenarios — then proves fixes work and gates future releases against the same mistakes.

Learn how it works See demo walkthrough

Works alongside your existing AI, observability, support, and compliance systems.

The compliance forensics gap

What regulators demand

When an AI decision fails — a loan denial, insurance claim rejection, or medical prior auth error — regulators and courts ask four questions:

  • Why did this decision happen? (Causation)
  • How do you know the fix works? (Remediation)
  • Prove this evidence wasn't tampered with. (Integrity)
  • Can you prove this five years from now? (Durability)

What observability tools provide

Tools like Datadog, LangSmith, and Langfuse show you what happened: log events, model calls, API responses.

They don't show why it happened. A log timeline shows correlation, not causation. The agent's logic could have failed, or the API response could have been stale, or the cache could have been wrong.

They can't prove fixes work. You deploy a fix and hope. Verification requires re-running the exact scenario and checking the outcome — something monitoring systems don't do.

They have no tamper evidence. A log file is just text; regulators have no way to know it wasn't edited after the fact.

Scenario Intelligence

Your decision history is a scenario mine, not a log.

Every escalation, override, denial, and complaint your AI agents have produced is a candidate scenario. Notary clusters historical decisions by intent, outcome, policy, and override pattern, checks replayability, and promotes human-labeled failures into your release gate.

Novel scenario discovery

Surface recurring failure patterns that no one has manually reviewed. Find the unknown unknowns in your decision history.

Policy gap analysis

Compare stated policy against actual AI outcomes and human overrides. Where is the agent diverging from intent?

Regulatory scenario mapping

Map candidate scenarios to NAIC, HIPAA, FCRA, GLBA, ADA, and EU AI Act obligations. Know which historical failures matter to regulators.

Managed library expansion

Notary surfaces candidates monthly. Your team labels the expected outcome. Your regression suite compounds with real production failures.

The compounding loop: One failure becomes one scenario. Each scenario gates every future release. Over time, your release gate becomes immune to known failure modes. This is where Notary turns compliance evidence into competitive advantage — fewer regressions, faster shipping, and defensible releases.
See Scenario Intelligence in motion
Watch how historical AI support failures become labeled, replayable, release-gate scenarios.

Scenario Intelligence Demo

How real overrides become replayable release-gate scenarios.

Speed: 1x

Not just evidence

Notary finds recurring failure patterns in historical overrides and escalations.

Not just evals

Scenarios come from real production failures, not only synthetic test cases.

Not general safety

Proof is bounded to tested scenarios and customer-approved expected outcomes.

Proof scope: Expected outcome supplied by QA lead. Production is capture-only. Fix verified for this scenario. Known failure covered by release gate. Does not certify general AI safety.

Four proofs. One sealed record.

Notary doesn't just log decisions. It proves four things regulators need to see.

🔍 Causation
Why did this decision happen? By replaying the exact recorded scenario, we prove the agent's logic — not a transient glitch or stale data — caused the failure.
✅ Remediation
Does the fix work? By running the proposed fix against the same recorded conditions and verifying the outcome, we prove the remediation actually solves the problem.
🔒 Integrity
Was this evidence tampered with? Every decision is sealed with cryptography and chained into a Merkle tree. Any alteration is immediately detectable.
⏰ Durability
Can you still prove this five years from now? Yes. The cryptographic proof remains verifiable from sealed evidence, years later, without needing Notary.
What Notary does NOT claim: These proofs are bounded to the tested scenario. Notary verifies that a fix produces the expected outcome under recorded conditions. It does not certify that your AI system is safe in general, or that you've solved bias, hallucination, or model drift. Use Notary alongside your existing safety and monitoring tools.

Built for high-stakes AI decisions

Notary's wedge is proving fixes work. The sharpest pain is in regulated industries where AI failures have financial and legal consequences.

🏥
Insurance & Claims
NAIC AI evaluation requirements kick in late 2026. Prove every denials and claims decisions are defensible before regulators arrive.
💳
Lending & Decisioning
OCC and Fed guidance require documented AI defect remediation. Prove loan denials were caught, fixed, and never repeated.
⚖️
Compliance & Legal
EU AI Act (Article 10) and SEC disclosure rules demand incident forensics. Notary is the evidence layer your GRC systems require.

How Notary is different

Notary Observability (Datadog, LangSmith) GRC Tools (OneTrust, ServiceNow) Eval Tools (LangSmith, Braintrust, Patronus)
Captures production failures ✓ ✓ — —
Replays failures deterministically ✓ (core) — — —
Verifies fixes work ✓ (core) — — —
Cryptographic proof (tamper-evident) ✓ (core) — — —
Gates releases against known failures ✓ (Scenario Library / release review; CI/CD gate planned) — — ✓
Integrates with GRC systems ✓ (ServiceNow, OneTrust) — ✓ (native) —
Compliance reporting ✓ (EU AI Act, NAIC, SEC) — ✓ —

How it fits your stack

Notary sits between observability, governance, and GRC. You keep your existing monitoring tools (Datadog, LangSmith). Notary captures decision failures and proves fixes work. Your GRC system consumes the defensible evidence.

Step 1: Capture with the SDK

Add Notary's lightweight SDK to your AI agent (Python or TypeScript). It intercepts decisions, seals them cryptographically, and ships the sealed cassette to Notary.

  • Runs in your process, zero external dependency
  • Works fully offline
  • Open-source sealing logic for regulator audit

Step 2: Replay & verify

When a decision fails, use Notary to replay the exact scenario and test fixes. Notary runs your fix against the recorded conditions and proves or disproves remediation.

  • Deterministic replay from sealed cassette
  • Mutation testing for fix verification
  • Sandbox escalation where configured

Step 3: Gate future releases

Verified scenarios become permanent regression tests. Every release is flagged for manual review against the Scenario Library. Automated CI/CD gating is next.

  • Scenario Intelligence mines your history
  • Manual release review against scenarios
  • Automated CI/CD gating (planned)
  • Proof of Readiness certificates

Built for defensibility

Cryptography you can trust

  • HMAC-SHA256 sealing on every decision element
  • Merkle chaining for tamper-detection
  • Asymmetric notarization (ECDSA/RSA)
  • Bring-your-own-key option (managed custody)
  • Open-source SDK so regulators can audit

Regulatory coverage

EU AI Act (Article 10) NIST AI RMF SEC AI Disclosure OCC Model Risk HIPAA FCRA NAIC

Notary generates evidence that maps to compliance requirements. Export to ServiceNow, OneTrust, and AuditBoard in framework-mapped formats.