Compliance mapping

OMEGA Protocol &
ISO/IEC 42001

The most time-consuming part of ISO 42001 certification is producing regulator-grade technical evidence — immutable, traceable, causal logs of AI system behaviour. OMEGA Protocol generates this evidence automatically as a byproduct of operation. Every organisation deploying OMEGA enters its certification audit with months of verifiable governed decision records already in place.

4
Annex A controls satisfied directly
6
EU AI Act articles mapped
0
Additional tooling required
MIT
Open licence — no restrictions

The five primitives

Every OMEGA governed record contains exactly these five structural elements — proved necessary and sufficient.

P1 Governance — who decided, under what authority, within what constraints
P2 Reasoning — FACT, INFERENCE, ASSUMPTION chain recorded before action
P3 Traceability — permanent SHA-256 hash-chained record
P4 Expectation — committed predicted outcome before action fires
P5 Confirmation — gate record: COMMITTED or HELD, both permanent
01 — ISO/IEC 42001:2023

Annex A control mapping

How OMEGA's five primitives satisfy the Annex A controls that most commonly stall certification audits.

Control Requirement OMEGA primitives How OMEGA satisfies it Status
A.2.2
AI Policy Implementation
Documented policy for AI development and use aligned with organisational objectives
P1 Governance
Every OMEGA record binds the decision to the Governance primitive — which policy authorised this action, under which constraints. The policy is embedded in the record, not referenced from it.
✓ Full
A.3.3
Roles and Responsibilities
Clear allocation of accountability for AI development, risk, and oversight
P1 Governance
The Governance primitive records the specific authorised entity — human, role, or system — responsible for each decision. Authority chains are embedded in the record.
✓ Full
A.5.4
Explainability
Provide clear information on AI reasoning and decision basis to users and interested parties
P2 Reasoning
The Reasoning primitive captures the FACT/INFERENCE/ASSUMPTION chain recorded before the action. Not post-hoc reconstruction. The reasoning is permanently preserved in the hash-chained record and is machine-queryable.
✓ Full
A.6.2
Lifecycle Monitoring
Monitor AI system behaviour post-deployment and throughout the operational lifecycle
P4 ExpectationP3 Traceability
The Expectation primitive commits a predicted outcome before action — creating a continuous falsifiable baseline. The delta between committed expectations and actual outcomes is machine-detectable across the full deployment lifecycle. Traceability provides the causal history.
✓ Full
A.7.2
Data Provenance
Document data history, transformation steps, and lineage from origin to model consumption
P3 TraceabilityP1 Governance
OMEGA's Traceability primitive provides automated data lineage from origin through transformation to deployment. SHA-256 hash-chaining ensures the lineage record cannot be altered after the fact. Governance binds each transformation to the authorised actor.
✓ Full
A.9.1
Responsible Use
Controls for intended use and management of unintended outcomes
P5 ConfirmationP1 Governance
The Confirmation primitive is the gate between intent and irreversible commitment. When the gate holds (acted: false), a HELD record is produced permanently — the decision not to act is as governed as the decision to act. Unintended outcomes can be traced to where the gate was misconfigured.
✓ Full
A.10.2
Record-Keeping and Logging
Record significant events, system behaviour, human overrides, and changes to model parameters
P3 TraceabilityP5 Confirmation
Every OMEGA record is SHA-256 hash-chained, tamper-evident, and permanently stored. Records include the full five-primitive structure — not just the event output. Human overrides (HELD records) are recorded identically to autonomous actions (COMMITTED records). Auditors query the record directly.
✓ Full
A.5.5
Human Oversight
Documented oversight roles, intervention protocols, and kill switch mechanisms for high-risk decisions
P5 ConfirmationP1 Governance
The Confirmation gate is the technical implementation of human oversight — the system cannot commit to an irreversible action without the gate firing. Governance records what oversight was required and by whom. HELD records prove the gate held when constraints were violated.
✓ Full
A.8.1
Technical Documentation
Comprehensive model cards, architecture descriptions, and performance characteristics
P2 ReasoningP4 Expectation
OMEGA records accumulate over deployment as a living technical record. The Reasoning and Expectation primitives provide machine-queryable documentation of how the system reasons and what it predicts — evidence that no static model card can provide.
◑ Partial
02 — EU AI Act

Article mapping

OMEGA primitives map directly to EU AI Act obligations for high-risk AI systems. Compliance is a byproduct of operation.

Article 11
Technical Documentation
Providers of high-risk AI must maintain technical documentation before placing system on market and update throughout lifecycle.
P1 Governance + P2 Reasoning
Article 12
Automatic Logging
High-risk AI systems must automatically generate logs enabling post-market monitoring and investigation of incidents. Active since August 2025.
P3 Traceability — SHA-256 hash chain
Article 13
Transparency
High-risk AI systems must be designed to enable deployers to interpret system output and use it appropriately.
P2 Reasoning — FACT/INFERENCE/ASSUMPTION
Article 14
Human Oversight
High-risk AI systems must enable human oversight. Natural persons must be able to intervene and override system decisions.
P5 Confirmation — gate + HELD records
Article 18
Retention
Providers must retain automatically generated logs for at least 6 months. High-risk documentation: 10 years after system placed on market.
P3 Traceability — WORM hash chain
Article 17
Quality Management System
Providers of high-risk AI must implement a QMS covering risk management, data governance, post-market monitoring, and serious incident reporting.
All five primitives — ISO 42001 chassis
03 — Certification pathway

Fastest path to certification

For organisations deploying OMEGA, the most labour-intensive evidence-gathering phases are automated. Auditors arrive to months of verifiable governed records already in place.

Phase 1
Month 1–2
Gap Analysis and Scope Definition
Define AIMS scope covering all AI systems including third-party integrations. Classify role as Provider, Producer, or User. Map existing ISO 27001 controls to 42001 requirements (saves 20–30% of timeline).
Phase 2
Month 2–4
Deploy OMEGA as Technical Record-Keeping Standard
Deploy OMEGA across training, validation, and production environments. Every AI decision begins producing governed records immediately. By the time auditors arrive, there are months of immutable causal history demonstrating system maturity.
→ A.7.2 Data Provenance satisfied automatically → A.10.2 Logging satisfied automatically
Phase 3
Month 3–5
Governance Artifact Development
Draft AI Policy and Statement of Applicability. Execute AI System Impact Assessment using OMEGA records as the evidence base for risk register inputs.
→ OMEGA Reasoning records feed directly into AIIA risk documentation
Phase 4
Month 5–6
Internal Audit and Management Review
Conduct internal audit using OMEGA logs to verify technical controls are functioning as documented. OMEGA's causal consistency means no need to reconstruct model history from disparate sources.
→ A.6.2 Lifecycle Monitoring verified via Expectation vs actual outcome comparison
Phase 5
Month 7–9
Certification Audit — Stage 1 and Stage 2
Stage 1 documentation review: OMEGA records demonstrate months of operational AIMS maturity. Stage 2 implementation audit: auditors query OMEGA records directly — no evidence reconstruction required.
→ OMEGA eliminates the evidence gap that stalls most Stage 2 audits

Start with the spec

OMEGA Protocol v1.0 is published, open, and MIT-licensed. The formal proof of primitive necessity and sufficiency is machine-verifiable. Certification bodies can audit against it.

Talk to us

We deploy the OMEGA standard against your specific AI systems and regulatory requirements. Governed records from your own systems within a week. No retainer to start.