If you are a Governance, Risk, or Compliance leader in a financial institution or public sector body, this playbook was built for you.
As someone responsible for ensuring adherence to evolving regulatory standards, you are under increasing pressure to align high-risk AI systems with strict legal and ethical requirements. The EU AI Act introduces binding obligations for organizations deploying AI in sensitive domains such as credit assessment, targeted advertising, and citizen identity verification. With enforcement timelines accelerating and oversight bodies preparing for audits, your team must act now to classify systems, document compliance, and establish governance controls, before enforcement actions begin.
Traditional consulting routes through global audit firms can cost between EUR 80,000 and EUR 250,000 for a comparable scoping and implementation effort. Alternatively, dedicating 2 to 3 internal compliance or legal FTEs for 4 to 6 months to develop an in-house framework demands significant opportunity cost and delays time-to-compliance. This playbook delivers the same structured methodology for $395, one-time payment, no recurring fees.
What you get
| Phase | File Type | Description | Quantity |
| Discovery & Classification | Risk Classification Assessment | 30-question evaluation per domain to determine if an AI system qualifies as high-risk under Title III of the EU AI Act, based on use case, data inputs, and impact level | 7 |
| Evidence & Documentation | Evidence Collection Runbook | Step-by-step guide for gathering technical documentation, data provenance records, model performance logs, and human oversight protocols required under Articles 11, 12, and 13 | 1 |
| Governance Setup | RACI Matrix Template | Pre-built responsibility assignment chart mapping roles (data scientist, compliance officer, legal counsel, system owner) to key compliance tasks across the AI lifecycle | 1 |
| Governance Setup | Work Breakdown Structure (WBS) | Hierarchical task list organizing compliance activities into phases: scoping, assessment, documentation, testing, review, and reporting | 1 |
| Cross-Reference & Alignment | Cross-Framework Mapping Matrix | Detailed spreadsheet linking EU AI Act requirements to NIST AI RMF functions, GDPR data protection principles, and ISO/IEC 42001 clauses | 1 |
| Audit Preparation | Audit Prep Playbook | Checklist-driven guide for preparing internal and external audits, including mock review scenarios, document submission templates, and common auditor questions by domain | 1 |
| Ongoing Monitoring | Domain Assessment Pack | Seven standalone assessments covering high-risk domains: credit scoring, fraud detection, benefits eligibility, public identity systems, job applicant screening, algorithmic pricing, and targeted advertising | 7 |
| Total files included: 64 (7 assessments x 8 supporting documents each, plus 8 core templates) | |||
Domain assessments
Each of the seven domain assessments contains 30 targeted questions designed to evaluate whether a specific AI application falls under the high-risk classification per Article 6 and Annex III of the EU AI Act. The domains are:
- Credit Scoring Systems: Evaluates AI models used to assess consumer creditworthiness, including data sourcing, bias testing, and transparency of decision logic.
- Fraud Detection Algorithms: Assesses real-time transaction monitoring systems for false positive rates, feedback loops, and human-in-the-loop protocols.
- Benefits Eligibility Engines: Reviews automated determinations of social or public assistance eligibility, focusing on due process, appeal mechanisms, and impact on vulnerable populations.
- Public Identity Verification Platforms: Analyzes biometric and document-based identity systems used in government services for accuracy, spoofing resistance, and data retention compliance.
- Job Applicant Screening Tools: Examines resume parsing and candidate ranking systems for fairness, feature relevance, and non-discrimination safeguards.
- Algorithmic Pricing Models: Investigates dynamic pricing engines in financial products for discriminatory outcomes, opacity, and customer impact.
- Targeted Advertising Systems: Reviews behavioral profiling and ad delivery algorithms for manipulative design, sensitive data inference, and consent compliance.
What this saves you
| Activity | Traditional Approach | With This Playbook |
| Initial Risk Classification | Legal team review of Annex III; 3, 6 weeks of manual analysis per system | Structured 30-question assessment completed in 2, 4 hours per domain |
| Evidence Compilation | Disjointed requests across data, engineering, and compliance teams; average 80 hours per system | Runbook with predefined evidence types, owners, and formats; reduces effort to ~20 hours |
| Cross-Framework Alignment | Manual mapping of EU AI Act to GDPR and NIST; prone to gaps and inconsistencies | Pre-built matrix with 478 individual control mappings across four frameworks |
| Audit Readiness | Last-minute document assembly; frequent findings due to missing artifacts | Audit Prep Playbook ensures all 21 required documentation elements are tracked and version-controlled |
| Governance Setup | Ad hoc role assignment; unclear accountability for model monitoring and updates | RACI and WBS templates establish clear ownership and milestone tracking from day one |
Who this is for
- Chief Compliance Officers in banks, insurance providers, and capital markets firms deploying AI in customer risk assessment or marketing
- Data Protection Officers responsible for ensuring AI systems comply with both GDPR and the EU AI Act
- Head of AI Governance in public sector agencies implementing automated decision-making in social services or identity management
- Risk Managers overseeing algorithmic systems in regulated environments with high public accountability
- Legal Counsel advising on liability exposure from AI-driven decisions in credit, employment, or benefits
- Internal Audit Leads preparing for regulatory scrutiny of AI systems post-2025
- Technology Ethics Officers establishing review boards for high-risk AI deployments
Cross-framework mappings
The playbook includes a comprehensive mapping matrix that aligns requirements across the following frameworks:
- EU AI Act (Regulation (EU) 2024/…)
- NIST AI Risk Management Framework (AI RMF 1.0)
- General Data Protection Regulation (GDPR) , Articles 13, 14, 15, 21, 22, 25, 35
- ISO/IEC 42001:2023 , Artificial Intelligence Management System
Each control from the EU AI Act is linked to corresponding sub-functions in NIST AI RMF (Govern, Map, Measure, Manage), relevant GDPR provisions, and applicable ISO/IEC 42001 clauses. Mappings cover transparency, data governance, human oversight, accuracy, and recordkeeping obligations.
What is NOT in this product
- This is not a software tool or SaaS platform. It does not integrate with your MLOps pipeline or model registry.
- No automated risk scoring or AI scanning capabilities are included. Classification requires manual input and judgment.
- The playbook does not provide legal advice or certification of compliance. Final determinations must be made by your legal or regulatory team.
- It does not cover low- or minimal-risk AI systems as defined in the EU AI Act.
- Support for non-EU regulations such as U.S. state AI laws or China's algorithmic governance rules is not included.
- Customization services, consulting hours, or training workshops are not part of this purchase.
- Updates to the playbook due to future regulatory amendments are not automatically provided.
Lifetime access and satisfaction guarantee
You receive lifetime access to the playbook files with no subscription, no login portal, and no recurring fees. The files are delivered as downloadable PDFs and editable templates (Word, Excel). If this playbook does not save your team at least 100 hours of manual compliance work, email us for a full refund. No questions, no friction.
About the seller
We have spent 25 years building structured compliance methodologies for complex regulatory environments. Our team has analyzed 692 global regulatory and standards frameworks and created 819,000+ cross-framework mappings to help organizations streamline adherence. Our resources are used by over 40,000 compliance, risk, and legal practitioners across 160 countries, focusing exclusively on practical, implementable guidance for regulated industries.
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