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AI governance: map systems to regulations, prove compliance

AI Sigil is an AI governance platform that maps your AI systems to regulatory obligations, tracks controls, and collects the evidence that proves compliance. Every control quotes the law verbatim, and every piece of evidence sits one click from the regulation that demands it.
Know what applies. Prove you comply.
Register and classify your AI systems, activate the frameworks that apply, then work through pre-built assessments. The audit trail builds itself as a by-product of the work.
| Framework | Coverage |
|---|---|
| EU AI Act | 113 articles, 62 controls |
| ISO 42001 | 10 clauses + 38 Annex A controls |
| NIST AI RMF | 4 functions, coming soon |
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AI Sigil is an AI governance platform that maps your AI systems to regulatory obligations, tracks controls, and collects the evidence that proves compliance. It connects three things that usually live in separate tools: an inventory of the AI you run, the rules that apply to each system, and the proof that you have met them. Every control quotes the law verbatim, and every piece of evidence sits one click from the regulation that demands it. The platform is EU-hosted and GDPR-compliant, and it is built for teams that ship AI faster than their governance processes can keep up.
You add your AI systems, classify them, and map their components: models, datasets, actions, interfaces, and use cases. Classification drives what applies downstream, so the same register answers "what AI do we run?" and "which rules bind it?"
Turn on the frameworks that apply and controls and obligations populate automatically, scoped to each system's risk level and your role. The EU AI Act coverage spans 113 articles mapped to 62 controls, with provider and deployer roles distinguished and content adapting to minimal, limited, high-risk, GPAI, and systemic GPAI classifications. ISO 42001 adds 10 clauses plus 38 Annex A controls, with AI lifecycle roles distinguished and alignment to the EU AI Act control library for shared coverage.
For every control, the evaluation form ships already built, including questions, evidence requirements, and completion logic. You work through each control, answer evaluations, and attach evidence rather than designing an assessment from scratch.
Inventory, risk classification, role, control completion, and evidence live in the same workflow. The audit pack is produced as a by-product of the governance work instead of being assembled at the end.
Know what applies. Prove you comply.
That pairing is the core of the design. Most governance tooling stops at mapping obligations or stops at storing documents; AI Sigil keeps the regulatory text and the evidence in the same place, so every claim ties back to the article that demands it. Controls and evidence requirements are also kept current as regulations change, which means your team works the assessment rather than the changelog.
You are preparing for EU AI Act obligations and need to know which articles bind which systems, or you are building an ISO/IEC 42001 management system and want the standard's clauses and Annex A controls already structured. It is also worth a look if your policies, evidence, and decisions are currently scattered across tools that were never built for audit. A free 14-day trial is available, and NIST AI RMF coverage is listed as coming soon.
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