If you are a compliance officer, AI governance lead, or risk manager at a regulated institution in financial services, healthcare, or energy, this playbook was built for you.
Organizations deploying agentic AI systems, autonomous agents capable of planning, tool use, and dynamic decision-making, are now under intensified scrutiny under the EU AI Act. You face mounting pressure to classify AI systems correctly under Annex III, establish auditable risk controls, maintain end-to-end data provenance, and ensure meaningful human oversight, all while operating in highly regulated environments where non-compliance carries fines up to 7% of global turnover. The ambiguity in interpreting "high-risk" for adaptive, goal-driven AI agents compounds the challenge, especially when legacy compliance frameworks were not designed for systems that evolve during operation.
Traditional approaches to compliance are either prohibitively expensive or operationally impractical. Engaging a Big-4 advisory firm to develop a custom EU AI Act compliance framework for agentic systems typically costs between EUR 80,000 and EUR 250,000. Alternatively, dedicating an internal team of 3 to 5 full-time specialists for 4 to 6 months to reverse-engineer regulatory expectations, build documentation templates, and align controls across multiple standards is resource-intensive and delays deployment timelines. This playbook delivers the same rigor and structure at a fraction of the cost: $395.
What you get
| Phase | Deliverable | File Format | Purpose |
| 1. Risk Classification | 30-Question High-Risk AI System Assessment (Annex III Aligned) | PDF, XLSX | Determine whether an agentic AI system falls under one of the EU AI Act's high-risk categories based on use case, sector, and impact |
| 1. Risk Classification | Agentic Behavior Scoring Matrix | XLSX | Quantify autonomy level, tool usage, and planning depth to assess regulatory applicability |
| 2. Domain Assessments | 7 Domain-Specific Assessments (30 questions each) | PDF, XLSX | Evaluate compliance readiness across technical, operational, and governance domains |
| 3. Evidence Collection | Evidence Collection Runbook | Step-by-step guide for gathering and organizing technical documentation, logs, and control records | |
| 3. Evidence Collection | Data Provenance Tracking Template | XLSX | Map training data sources, transformations, and lineage for audit transparency |
| 3. Evidence Collection | Model Change Log Template | XLSX | Document updates, retraining events, and performance drift over time |
| 4. Governance & Accountability | RACI Matrix Template for AI Governance | XLSX | Define roles for development, deployment, monitoring, and incident response |
| 4. Governance & Accountability | Work Breakdown Structure (WBS) for Compliance Projects | XLSX | Break down compliance initiatives into manageable tasks with ownership and timelines |
| 5. Audit Preparation | Audit Prep Playbook | Prepare for notified body assessments with checklists, mock audit scenarios, and evidence indexing | |
| 5. Audit Preparation | Audit Response Tracker | XLSX | Log auditor questions, assign responses, and maintain versioned answers |
| 6. Cross-Framework Alignment | Cross-Framework Mappings Document | Map EU AI Act requirements to NIST AI RMF and ISO/IEC 42001 controls | |
| 6. Cross-Framework Alignment | Control Harmonization Guide | Implement unified controls that satisfy multiple frameworks simultaneously | |
| 7. Operationalization | Human Oversight Protocol Template | PDF, DOCX | Define thresholds for human intervention, escalation paths, and override procedures |
| 7. Operationalization | Incident Reporting Template | DOCX | Standardize reporting of AI-related incidents to internal teams and regulators |
| 7. Operationalization | Transparency Disclosure Template | DOCX | Generate user-facing documentation explaining system capabilities and limitations |
| All Phases | Glossary of Key Terms (EU AI Act, Agentic AI) | Ensure consistent interpretation of regulatory language across teams | |
| All Phases | Compliance Project Kickoff Deck | PPTX | Align stakeholders on objectives, scope, and deliverables |
| All Phases | Version Control Log Template | XLSX | Maintain audit trail of document revisions and approvals |
Domain assessments
The playbook includes seven 30-question domain assessments, each focused on a critical area of compliance for agentic AI systems:
- Autonomy & Agency Assessment: Evaluates the degree of independent decision-making, goal-setting, and tool integration within the AI system.
- Risk Classification & Categorization: Determines whether the system meets the criteria for high-risk under Annex III of the EU AI Act based on intended use and sector.
- Data Governance & Provenance: Assesses data sourcing, quality assurance, bias mitigation, and traceability throughout the model lifecycle.
- Transparency & Explainability: Reviews documentation practices, user disclosures, and methods for explaining agent behavior and outcomes.
- Human Oversight & Control: Examines mechanisms for human-in-the-loop supervision, intervention capabilities, and fallback procedures.
- Robustness, Security & Monitoring: Tests system resilience to adversarial inputs, drift detection, and real-time performance monitoring.
- Incident Management & Accountability: Evaluates incident logging, root cause analysis, and reporting protocols for AI-related failures.
What this saves you
| Activity | Without This Playbook | With This Playbook |
| Risk classification | Manual review of Annex III with legal counsel; inconsistent interpretations across teams | Standardized 30-question assessment with scoring logic and sector-specific guidance |
| Evidence collection | Ad hoc gathering of documents; missing artifacts during audits | Runbook with templates for data logs, change history, and model cards |
| Audit preparation | Reactive response to auditor requests; delayed timelines | Pre-built audit playbook with checklists and response workflows |
| Cross-framework alignment | Separate teams managing different standards; duplicated efforts | Single set of controls mapped across EU AI Act, NIST AI RMF, and ISO/IEC 42001 |
| Role definition | Unclear ownership leading to compliance gaps | RACI and WBS templates to assign accountability and track progress |
| Human oversight design | Generic policies not tailored to agentic behavior | Protocol template with thresholds for intervention and escalation |
| Transparency documentation | Minimal user disclosures; risk of non-compliance with Article 13 | Ready-to-customize disclosure templates aligned with regulatory requirements |
Who this is for
- Compliance officers in financial institutions implementing AI agents for fraud detection, credit assessment, or trading
- AI governance leads in life sciences organizations using autonomous agents for clinical trial design or drug discovery
- Regulatory affairs managers in energy companies deploying AI for grid optimization and predictive maintenance
- Chief AI officers building internal frameworks for responsible AI deployment across regulated functions
- Legal counsel advising on AI liability, transparency obligations, and high-risk classification
- Internal auditors preparing to assess AI systems against EU AI Act requirements
- Product managers overseeing the development of agentic AI tools in regulated environments
Cross-framework mappings
This playbook provides explicit mappings between the EU AI Act and the following international standards:
- EU AI Act (Regulation (EU) 2024/…), including all provisions relevant to high-risk AI systems under Title III
- NIST AI Risk Management Framework (AI RMF 1.0), including Core Functions: Govern, Map, Measure, Manage
- ISO/IEC 42001:2023 , Information security, cybersecurity and privacy protection , Artificial intelligence management system
What is NOT in this product
- This playbook does not provide legal advice or certification of compliance with the EU AI Act.
- It does not include software tools, code libraries, or integration services for AI systems.
- No automated risk scoring engines or digital platforms are part of this offering.
- The templates are not pre-filled with organizational data; they require customization.
- It does not cover low-risk or general-purpose AI systems outside the scope of Annex III.
- Support for non-EU regulations such as U.S. state AI laws or China's algorithmic governance rules is not included.
- There are no training sessions, workshops, or consulting hours bundled with the purchase.
Lifetime access and satisfaction guarantee
You receive lifetime access to the playbook with no subscription required and no login portal to manage. The files are delivered as downloadable documents that you can store, share, and version internally. 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 frameworks for complex regulatory environments. Our library includes mappings across 692 regulatory, industry, and technical standards, with over 819,000 cross-framework relationships documented. Our resources are used by more than 40,000 practitioners in 160 countries, including compliance teams in highly regulated sectors such as finance, healthcare, and critical infrastructure. This playbook reflects deep expertise in translating evolving AI regulations into actionable operational guidance.>
