EU AI Act Audit Pack
A scan-driven compliance binder generated from your GitHub repository. AI classifies your risk level under the EU AI Act and produces 6 named compliance documents — from Risk Classification (Art. 6) to Human Oversight Protocol (Art. 14) — that enterprise buyers and auditors ask for.
What's included
The Audit Pack is produced by scanning your repository and mapping findings to your AI system. Each section is evidence-sourced — not a blank template. Together they give your enterprise buyers and legal team a concrete compliance baseline.
AI System Risk Classification Report
Article 6 / Annex III
Risk classification of each AI system identified in your repository under the EU AI Act risk tiers (unacceptable, high-risk, limited, minimal). Evidence-sourced from scan findings.
Technical Documentation Summary
Article 11
Technical documentation of AI system architecture, dependencies, test coverage, and training data practices — evidence pulled directly from repository analysis.
Conformity Assessment Checklist
Annex VI
Full checklist of conformity items derived from compliance findings, sorted by severity — critical, warning, informational — with evidence and remediation actions per item.
Data Governance Statement
Article 10
Data governance documentation covering personal data processing, data minimisation, and data lineage — sourced from privacy policies and data-related compliance findings.
Transparency Disclosure Template
Article 13
Transparency obligations disclosure covering AI system identification, intended purpose, and user rights — sourced from privacy policies and terms of service.
Human Oversight Protocol
Article 14
Human oversight controls documentation covering review mechanisms, override capabilities, and accountability measures — sourced from oversight-related findings and policies.
Example: what a generated section looks like
All 6 sections are generated from evidence in your actual repository — not typed from a template.
How the Audit Pack is generated
Connect your GitHub account (read-only scope), enter your repository URL, and Regulatory Signals scans your code, configuration, and documentation. The AI identifies AI model usage, risk indicators, data handling patterns, and transparency signals — then maps each finding to the relevant Article or Annex. The binder is generated from that evidence, not typed by hand.
Private repositories are supported. Your source code is never stored beyond the scan session.
Who it's for
- SaaS founders whose AI features are blocking enterprise deals because procurement teams require EU AI Act documentation before signing.
- Compliance teams at mid-market software companies who need auditor-ready evidence without a six-figure consulting engagement.
- Legal counsel who need a structured starting point — risk classification, compliance gaps, and policy drafts already drawn from your codebase — rather than a blank page.
Pricing
The Audit Pack is $39 one-time. No subscription. No recurring charge.
Alternatively, the Audit Pack is included in the Professional and Enterprise subscription plans alongside continuous monitoring, all policy document types, and daily regulatory feeds.
Related pages
- Your AI feature just blocked a $200k enterprise deal — the deal-unblocking context for this pack.
- What is the EU AI Act? — risk classifications, obligations, and enforcement timeline.
- Our methodology — how the scanner maps evidence to regulatory obligations.
Audit Pack documents are compliance documentation drafts, not legal advice. All output should be reviewed by qualified legal counsel before submission to customers or regulators. See our full disclaimer.
AI-assisted verification
Each generated document is checked by an AI verifier (Claude) for obvious citation drift and hallucinated claims. The verifier does not cross-reference against authoritative regulation text bytes and does not replace legal review. Have qualified counsel review before submitting to any regulator (OCR, FCA, BaFin, SEC). Regulatory Signals is an independent technical evaluation provider, not an accredited certification body under ISO/IEC 17065 or ISO/IEC 17021.