EU AI Act Compliance and Risk Classification Playbook – Excel XLSX

BENEFITS OF THIS DOWNLOADABLE EXCEL DOCUMENT

1. 64 professional files with 349+ spreadsheet tabs and 2,730+ data rows
2. 210 scored assessment questions across 7 domain areas
3. 9 operational runbooks and checklists ready for immediate use

ARTIFICIAL INTELLIGENCE EXCEL DESCRIPTION

EU AI Act Compliance and Risk Classification Playbook is an Excel template (XLSX) with a supplemental Zip archive file document available for immediate download upon purchase.

EU AI Act Compliance and Risk Classification Playbook

64 professional files (6 PDFs + 58 Excel workbooks) | 349+ spreadsheet tabs | 2,730+ rows of structured content | 11 organised folders

The EU AI Act is the world's first comprehensive AI regulation, applying to any organisation that places AI systems on the EU market or whose outputs affect people in the EU, regardless of headquarters location. With obligations from outright prohibitions to conformity assessments and post-market monitoring, compliance requires a structured cross-functional programme. This playbook gives you the complete toolkit to classify your AI systems, close compliance gaps, and build the governance infrastructure the regulation demands.

WHAT YOU GET: A THREE-PHASE JOURNEY

Phase 1: Diagnose. Seven domain assessments (30 questions each, 210 total) evaluate EU AI Act readiness across risk classification, conformity assessment, QMS, data governance, transparency, post-market monitoring, and organisational governance.

Phase 2: Set Goals. Five PM template workbooks with compliance roadmaps, AI system inventory matrices, regulatory deadline trackers, and cross-functional responsibility assignments.

Phase 3: Implement. Nine operational runbooks covering risk classification, QMS design, technical documentation, GPAI compliance, and audit readiness.

7 DOMAIN ASSESSMENTS (210 QUESTIONS)
•  AI System Inventory and Risk Classification (four-tier framework, Annex III)
•  Conformity Assessment and Technical Documentation (Article 11)
•  Quality Management System (Article 17)
•  Data Governance and Dataset Management (Article 10)
•  Transparency and Human Oversight (Articles 13, 14, 50, 52)
•  Post-Market Monitoring and Incident Reporting (Articles 72, 73)
•  Organisational Governance and AI Literacy (Article 4)

9 OPERATIONAL RUNBOOKS
•  AI System Risk Classification Decision Tree and Documentation Template
•  High-Risk AI System Conformity Assessment Preparation Guide
•  Quality Management System Design and Implementation Checklist (Article 17)
•  Technical Documentation Package Assembly Runbook (Annex IV)
•  Training Data Governance and Bias Examination Protocol
•  Transparency Obligation Compliance Matrix and Disclosure Templates
•  Post-Market Monitoring Plan and Incident Reporting Procedures
•  General-Purpose AI (GPAI) Model Compliance Checklist (Articles 51-56)
•  EU AI Act Compliance Programme Governance and Audit Readiness Runbook

WHO THIS IS FOR: Chief AI Officers, Legal/Regulatory Teams, DPOs, Product/Engineering Leaders, Compliance Consultants, and Quality Management Professionals.

Built on Regulation 2024/1689 with cross-references to NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, and EU harmonised standards.

Instant download. Start your AI system classification and gap assessment today.

Source: Best Practices in Artificial Intelligence, Compliance Excel: EU AI Act Compliance and Risk Classification Playbook Excel (XLSX) Spreadsheet, Gerard Blokdijk