EU AI Act Starter Pack
The EU AI Act Compliance Starter Pack provides an end-to-end, ready-to-deploy governance ecosystem built by leading data privacy and technology law experts. Designed to empower organizations with a self-service compliance capability, it bridges complex European regulatory mandates with practical, day-to-day business and technical operations. Tailored for enterprise product managers, MLOps engineers, compliance officers, and non-legal business leaders, this starter pack eliminates regulatory ambiguity by structuring compliance into a cohesive, interconnected framework.
What Is Included in the Starter Pack The starter pack comprises eleven core, interconnected governance and operational documents:
Enterprise AI Compliance User Guide & Implementation Playbook: The master operational guide translating complex regulations into plain-English workflows, defining the four-phase lifecycle methodology, and covering regulatory disclaimers.
AI System Scoping & Risk Classification Matrix: An initial triage tool that maps enterprise AI projects across the EU AI Act's four risk tiers (Prohibited, High-Risk, Transparency Risk, and Minimal Risk).
Data Governance & Quality Management Policy: Establishes rigorous data provenance, curation, cleaning, bias mitigation, and GDPR-compliant handling standards for training and fine-tuning datasets (Article 10).
AI Vendor Due Diligence & Supply Chain Checklist: A pre-procurement vetting framework evaluating third-party APIs, SaaS tools, and foundation model vendors, covering statutory conformity, copyright/TDM compliance, and non-training guarantees.
AI Interaction & Synthetic Content Transparency Notice: Governs end-user disclosures, chatbot interactions, deepfake labeling, and machine-readable watermarking mandates (Article 50).
General-Purpose AI (GPAI) & Fine-Tuning Policy: Manages open-weight foundation models, internal custom fine-tuning liabilities, and compliance documentation for downstream model adaptations (Article 53 & Article 25).
High-Risk AI Technical Documentation Dossier: The master technical record required for Annex III systems, structuring architecture, training parameters, compute metrics, and risk management summaries (Annex IV).
Fundamental Rights Impact Assessment (FRIA) Framework: Evaluates societal and fundamental human rights risks under Article 27, featuring an embedded GDPR Data Protection Impact Assessment (DPIA) module and stakeholder consultation protocols.
Human Oversight & Override Procedure: Defines operational controls across Human-in-the-Loop (HITL), Human-out-of-the-Loop (HOTL), and Human-in-Command (HIC) architectures, complete with emergency stop protocols (Article 14).
Post-Market Monitoring & Quality Management Plan: Establishes ongoing active telemetry (concept drift, PSI, demographic parity) and reactive feedback channels, maintaining continuous compliance under Articles 17 and 72.
AI Incident Classification & Escalation Plan: A structured taxonomy for grading AI anomalies and safety regression drops, managing internal escalation paths, and satisfying the 10-day serious incident reporting timeline (Article 73). Standards Alignment
Built to integrate seamlessly with international management standards, including ISO/IEC 42001 (AI Management Systems), ISO 9001, NIST AI RMF 1.0, and IEEE 2801, this starter pack equips organizations to achieve operational readiness, protect fundamental rights, and mitigate regulatory liability.