AI Proof Systems

Make AI execution provable

AI systems don’t need better logs. They need proof.

Generate proof of AI execution at runtime.

Built for high-throughput systems that process hundreds of thousands of execution events per second, with context revealed on demand.

RecordsProof-backed records of AI execution—from input to output, captured at runtime

ContextHuman-readable context showing what happened, who was involved, and what the system returned

ProofCryptographic proof anchored onchain that can be independently verified when it matters

If it matters, it needs proof.

High-risk AI needs proof.

Logs help explain what happened. Proof-backed records preserve context at execution time and make cryptographic proof available when it matters.

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Proof Decides Escrow

Proof shows where the money goes.

Buyer

Buyer complaint

“I asked for X, got Y.”

Stop payment request

Seller

Seller responds

Requested vs delivered.

Context. Proof. Policy.

Escrow

Escrow contract

Funds move on proof.

Escrow

Not verifiedBuyer refunded

VerifiedSeller paid

Record Flow

Why teams use it

Logs explain. Proof-backed records hold up.

Reduce disputes

59%

of merchants still manage chargeback disputes 100% manually.

Resolve against proof-backed records, not conflicting logs.

Source: MRC

Fight chargebacks

2.4x

the transaction value lost on every chargeback.

Use proof-backed records as cryptographic proof of delivery to win disputes.

Source: LexisNexis Risk Solutions

Stay audit-ready

100%

transaction population monitoring becomes possible instead of sampling.

Move to continuous audit readiness with proof-backed records captured at runtime.

Source: Deloitte

Reduce coordination failures

$12.9M

lost annually to poor data sharing in large enterprises.

Replace fragmented state with proof-backed records as shared, verifiable context.

Source: Gartner

Trigger programmable payouts

$3T-$5T

of consumer commerce could be mediated by AI agents by 2030.

Trigger programmable payouts on top of proof-backed records as agents scale.

Source: McKinsey

Document policy enforcement

€35M or 7%

of global annual turnover can be imposed under the EU AI Act.

Show exactly how policies were applied with proof-backed records at runtime.

Source: EU AI Act

Record Model

Every proof-backed record answers the same set of questions.

What exactly did the AI system receive?
What model or process executed?
What output was produced?
When did it happen?
Can this be independently verified?

Controls Mapping

Proof-backed records map directly to high-risk AI controls.

RequirementCryptowerkWhat auditors get

TraceabilityProof-backed record created at runtimeClear execution lineage

LoggingContext captured inside each proof-backed recordNo log reconstruction

Human oversightInspectable proof-backed record historyReviewable execution context

Data governanceArtifacts secured with deterministic hashesIntegrity across systems

Independent verificationCryptographic proof on demandExternal proof verification when required

Record Flow

From AI execution to independently verifiable cryptographic proof.

Proof-backed records at runtime

Generate a proof-backed record for each important AI execution without redesigning the gateway or workflow.

Context inside each proof-backed record

Each proof-backed record carries the human-readable context teams need to understand what happened during execution at runtime, not after a dispute.

Cryptographic proof when it matters

Move from internal logs to proof-backed records of AI execution with cryptographic proof that auditors, counterparties, and customers can inspect independently.

Integration Pattern

Add proof-backed records to the AI workflows you already run.

Run at the gateway or worker boundary, capturing each execution and attaching a proof-backed record without changing the main execution path.

/install cryptowerk-records

cryptowerk:
  agentId: acme-support-agent
  onRunComplete:
    - hash artifacts
    - POST /register
    - attach proof-backed record to run

Regulated Use Cases

Built for teams shipping high-risk and regulated AI systems.

Hiring and screening systems
Credit and financial decisions
Healthcare AI
Customer support automation in regulated environments
Financial transaction processing

Reviewable contextDeterministic hashesHuman oversight

Before and after

Move from reconstructed logs to proof-backed records created at runtime.

Without Cryptowerk

Context is reconstructed after the fact.

Logs can be altered
Context is reconstructed after the fact
Proof verification relies on internal trust
Disputes become narratives

With Cryptowerk

Proof-backed records are created at execution time.

Every AI execution generates a proof-backed record
Context is captured at execution time
Cryptographic proof is available when it matters
Disputes resolve against the proof-backed record

Gateway flow

Register on both sides of the model call. Return the proof-backed record to the app.

Wrap the gateway request and response, register both hashes, then render proof verification state directly in your product UI.

What's next

Start free. Scale to production.

Learn more

Proof-backed records at scale

Create proof-backed records for AI execution, documents, tool calls, and system events in minutes.

Scale to hundreds of thousands of execution events per second, add bulk sealing, ultra-compact cryptographic proof, omnichain anchoring, and webhook delivery for independent verification.

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Get started for free

Up to 5,000 events per second and 1 million proof-backed records per day. All anchored to a blockchain source of truth and verifiable via API.

Add proof-backed records to the AI data pipeline and start producing context and cryptographic proof at execution time.

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