RegulatorySignals

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.

1

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.

2

Technical Documentation Summary

Article 11

Technical documentation of AI system architecture, dependencies, test coverage, and training data practices — evidence pulled directly from repository analysis.

3

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.

4

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.

5

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.

6

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

Section 1 · Article 6 / Annex IIIHIGH RISK
System identified:src/models/underwrite.py — loan underwriting recommendation engineRisk tier:HIGH RISK — Annex III §5(b): AI used for creditworthiness assessmentEvidence:openai.ChatCompletion.create() · output routed to loan_decision_tableObligations:Art. 9 (risk mgmt) · Art. 10 (data governance) · Art. 11 (technical docs) · Art. 13 (transparency) · Art. 14 (human oversight)

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.

Compare all plans
EU AI Act enforcement is phased: prohibited practices (Article 5) since 2 February 2025; general-purpose AI obligations (Chapter V) since 2 August 2025; high-risk system obligations (Title III) begin 2 August 2026. Enterprise buyers are already issuing compliance questionnaires. The Audit Pack gives you answers.

Related pages

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.