Enterprise AI Governance
Most organizations can't explain the AI decisions their name is on.
When an AI-assisted decision is challenged — by a regulator, a counterparty, a board — the organization that can produce a verifiable record of how that decision was made is in a materially different position than one that can't. Numbers Protocol creates tamper-proof audit trails for AI decisions, document workflows, and content actions. Built for enterprises where accountability isn't optional.
How Auditable AI works
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Capture at Ingestion: Training Data Verification
Document the origin and lineage of every training dataset at the moment of collection. Establish a clear provenance record before model training begins.
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Certify on an immutable ledger: Model Decision Registry
Record every AI model output and the metadata surrounding its decision on an immutable ledger. Create an auditable trail of model behavior over time.
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Check with ERC-7053: Compliance & Governance
Index the full lifecycle of model versions, training data updates, and decision changes. Enable regulatory audits and forensic analysis of AI systems.
Verification capabilities
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Accountability that doesn't depend on trust
Every AI decision, document action, or content change is assigned a cryptographic fingerprint at the moment it occurs. Any subsequent alteration produces a different fingerprint.
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A chain of custody that survives what comes next
Records anchored via the ERC-7053 standard — which Numbers Protocol co-authored — persist through acquisitions, migrations, and technology shifts. The audit trail you create in 2026 remains independently verifiable in 2031.
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Verifiable by anyone, without accessing your systems
Auditors, regulators, and counterparties can verify any record independently — without needing access to your internal infrastructure. The process is deterministic.
For the decisions that need to be defensible
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Financial Services — AI-assisted underwriting and credit decisions
When an AI-assisted underwriting or credit decision is disputed, the organization that can show an unaltered record of the inputs, model version, and decision logic at that moment is in a fundamentally different legal and regulatory position. Numbers Protocol makes that record available without requiring reconstruction after the fact.
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Legal & Compliance — Document authenticity across the full lifecycle
A document that moves through drafting, revision, approval, and submission across multiple teams and systems needs a chain of custody that holds at every step. Not just at the point of signature — at every point. Cryptographic proof that nothing changed in transit is increasingly what regulators and counterparties expect.
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Agentic AI — Governance before autonomous AI creates liability
AI agents are being deployed to negotiate, generate reports, and take actions without human review at each step. The accountability question that follows is organizational, not technical: when something goes wrong, who is responsible, and what does the record show? Tamper-evident logs of every agent action create the governance layer before it becomes urgent.
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Insurance — Evidence authenticity from first notice of loss
The cost of fraudulent claims isn't just the payout — it's the investigation, the legal exposure, and the precedent. Making manipulation detectable at the point of evidence intake, not during post-settlement review, changes the economics of the problem entirely.
Credentials
- C2PA Coalition Member
- ERC-7053 Co-Author
- NIST AI Risk Framework — Cited
- 67M+ Assets Verified
- Arm Innovator Program
Used in production by organizations where documentation failures have real consequences
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Reuters & Starling Lab — Global media provenance
C2PA-based provenance implemented for photojournalism during major global news cycles. Origin and chain of custody embedded at the point of capture.
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July 2025 X Breach — Incident documentation at scale
Technical documentation and verification for a high-profile platform breach, producing tamper-proof audit records for external review.
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ERC-7053 — Co-authored open standard
Numbers Protocol co-authored ERC-7053, the interoperable indexing standard for AI-assisted content. Now in use across enterprise and media deployments globally.
Contact Numbers Protocol about Auditable AI