If you are a compliance lead, product governance officer, or AI risk manager at a B2B SaaS or AI-enabled platform, this playbook was built for you.
As regulatory scrutiny intensifies across the European Union, teams responsible for AI governance face mounting pressure to classify AI systems accurately, maintain auditable technical documentation, and demonstrate adherence to evolving obligations under the EU AI Act. You are expected to operationalize compliance across product development lifecycles without slowing innovation, while ensuring alignment with overlapping requirements from GDPR, NIS2, and information security standards. The complexity of agentic AI behaviors and large language model (LLM) deployments introduces ambiguity in risk classification, transparency disclosures, and conformity assessment procedures. Without structured guidance, your team risks incomplete assessments, inconsistent documentation, and exposure during regulatory audits.
Traditional alternatives to this playbook include engaging external advisory firms, which typically charge between EUR 80,000 and EUR 250,000 for a comparable scoping and documentation effort. Alternatively, assembling an internal working group of 3 to 5 full-time staff over 4 to 6 months can yield similar outputs but at significant opportunity cost and delayed time-to-readiness. This comprehensive 64-file EU AI Act Compliance Playbook delivers the same depth of structure and regulatory alignment for a one-time cost of $395.
What you get
| Phase | File Type | Description | Count |
| Risk Classification | Assessment Questionnaire | 30-question evaluation to determine whether an LLM or agentic AI system qualifies as high-risk under Annex III of the EU AI Act | 7 |
| Technical Documentation | Template Pack | Modular templates covering system design, data provenance, model versioning, performance metrics, and update protocols per Article 11 and Annex IV | 12 |
| Transparency & User Obligations | Disclosure Framework | Guidance and templates for user instructions, content labeling, API-level disclosures, and human oversight mechanisms | 8 |
| Conformity Assessment | Checklist Series | Step-by-step verification checklists aligned with the standard conformity pathway under Article 17 | 5 |
| Evidence Collection | Runbook | Detailed procedures for gathering, organizing, and version-controlling evidence required for internal and external audits | 1 |
| Audit Readiness | Playbook | Comprehensive guide to preparing for regulatory inspections, including mock audit scripts, auditor Q&A preparation, and document pack assembly | 1 |
| Governance & Accountability | RACI & WBS Templates | Pre-built responsibility assignment matrices and work breakdown structures for cross-functional compliance execution | 2 |
| Cross-Framework Alignment | Mapping Matrix | Detailed field-level mappings between EU AI Act requirements and GDPR, NIS2, and ISO/IEC 27001 controls | 1 |
| Supplemental Tools | Guides & Worksheets | Implementation aids for model risk tiering, incident logging, and change management tracking | 27 |
| Total Files | 64 | ||
Domain assessments
- High-Risk System Classification: A 30-question assessment to determine if your LLM or agentic AI system falls under one of the high-risk categories defined in Annex III of the EU AI Act, based on use case, sector, and downstream impact.
- Transparency Obligations: Evaluates whether your system meets mandatory disclosure requirements for AI-generated content, deepfakes, and user interaction transparency under Title IV.
- Data & Model Governance: Assesses data provenance, bias mitigation practices, and model version control in alignment with Articles 10 and 11.
- Human Oversight: Reviews implementation of human-in-the-loop or human-on-the-loop mechanisms required for high-risk systems.
- Robustness & Accuracy: Measures technical performance benchmarks, error rate reporting, and resilience testing against adversarial inputs.
- Incident & Malfunction Reporting: Determines readiness to detect, log, and report serious incidents to national authorities as required under Article 74.
- Provider Accountability: Evaluates organizational capacity to assign legal responsibility, maintain documentation, and respond to regulatory inquiries.
What this saves you
| Activity | Without This Playbook | With This Playbook |
| Initial Risk Classification | 3 to 6 weeks of legal and product team analysis with inconsistent outcomes | Structured 30-question assessment completed in under 5 business days |
| Technical Documentation Assembly | Manual drafting across 8 to 12 weeks with multiple stakeholder reviews | Template-driven process reduces effort to 2 to 3 weeks with standardized outputs |
| Cross-Framework Alignment | Dedicated mapping project requiring compliance and security team coordination | Pre-built matrix links EU AI Act obligations to GDPR, NIS2, and ISO/IEC 27001 controls |
| Audit Preparation | Reactive scrambling to compile evidence, often missing critical artifacts | Evidence runbook and audit playbook enable proactive readiness in 10 to 14 days |
| Internal Governance Setup | Ad hoc role assignment leading to accountability gaps | RACI and WBS templates clarify ownership and task ownership from day one |
Who this is for
- Compliance officers at B2B SaaS companies deploying AI features in enterprise software
- Product managers responsible for AI-enabled platforms subject to EU market regulations
- Legal counsel advising technology firms on EU AI Act applicability and risk exposure
- Chief AI officers building internal governance frameworks for responsible AI deployment
- Information security leads integrating AI risk into existing ISO/IEC 27001 programs
- Engineering managers overseeing LLM integration in cloud-native applications
- Regulatory affairs specialists preparing for upcoming enforcement timelines
Cross-framework mappings
This playbook includes explicit, line-item mappings between the EU AI Act and the following regulatory and standards frameworks:
- General Data Protection Regulation (GDPR)
- Network and Information Systems Directive (NIS2)
- ISO/IEC 27001:2022 Information Security Management
What is NOT in this product
- This playbook does not provide legal advice or substitute for counsel qualified in EU regulatory law.
- It does not include automated software tools, plugins, or code libraries for implementation.
- There are no third-party audit services, certification pathways, or notified body engagement support included.
- The materials are not pre-filled with your company's data or system-specific details.
- No training sessions, workshops, or consulting hours are bundled with the purchase.
- It does not cover national implementations of the EU AI Act in individual member states beyond the core regulation.
- The playbook is not designed for consumer-facing AI applications or medical device AI subject to separate EU MDR/IVDR rules.
Lifetime access and satisfaction guarantee
You receive permanent download access to all 64 files with no subscription, no login portal, and no recurring fees. 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
The creator has 25 years of experience in regulatory compliance architecture, with direct contributions to 692 distinct legal and technical frameworks across financial services, healthcare, and digital infrastructure. Their research underpins 819,000+ cross-framework mappings used by compliance teams in over 160 countries. More than 40,000 practitioners rely on their structured methodology for translating complex regulations into operational workflows.
