If you are a Chief Data Officer at a European insurance organization, this playbook was built for you.
As a senior data leader in a regulated insurance institution, you are under increasing pressure to align advanced data and AI initiatives with stringent regulatory expectations. DORA’s Article 14 and Article 25 impose strict requirements on data governance, ICT risk management, and third-party oversight, particularly as your organization adopts cloud-native analytics and generative AI. You must ensure data resilience, model risk transparency, and audit-ready documentation while maintaining alignment with EIOPA and ESMA guidance. The complexity of cross-framework compliance, combined with the operational demands of scaling AI responsibly, creates significant resource and coordination challenges.
Engaging external consultants to develop a compliant data and AI governance framework typically costs between EUR 80,000 and EUR 250,000. Alternatively, dedicating internal teams to this effort would require 3 to 5 full-time staff over 4 to 6 months to research, draft, and validate policies, assessments, and control mappings. This comprehensive DORA Data Governance & AI Risk Management Playbook delivers the same depth of regulatory alignment at a fraction of the cost, priced at $395.
What you get
| Phase | File Type | Description | Quantity |
| Assessment | Domain Assessment Workbook | 30-question evaluation covering governance, risk, and control maturity across key DORA and AI risk domains | 7 |
| Evidence Collection | Evidence Runbook | Step-by-step guide to collecting, organizing, and validating evidence for each assessment question | 1 |
| Audit Preparation | Audit Prep Playbook | Checklist and workflow guide for responding to supervisory inquiries and preparing for on-site audits | 1 |
| Implementation | RACI Matrix Template | Role and responsibility assignment template for governance activities across data and AI functions | 1 |
| Implementation | Work Breakdown Structure (WBS) | Project planning template with phased deliverables, milestones, and dependencies | 1 |
| Mapping | Cross-Framework Mappings | Detailed alignment tables linking DORA, NIST AI RMF, ISO 27001, EIOPA ICT Guidelines, and BCBS 239 controls | 1 |
| Supplemental | Sample Chapter | 30-question ICT third-party risk assessment for AI/ML cloud providers, including GCP, Azure, and Databricks | 1 |
Domain assessments
The seven domain assessments included in this playbook are designed to evaluate compliance maturity across critical areas of data governance and AI risk. Each contains 30 targeted questions with scoring guidance and evidence references.
- Data Governance Framework: Evaluates the existence and effectiveness of policies, roles, and processes for managing data quality, lineage, and ownership under DORA Article 14.
- ICT Third-Party Risk Management: Assesses oversight of cloud providers and AI platform vendors, focusing on contractual controls, audit rights, and exit strategies.
- AI and Machine Learning Risk Oversight: Reviews model development lifecycle controls, validation practices, and monitoring for generative AI systems.
- Data Resilience and Availability: Measures compliance with DORA’s requirements for data backup, recovery time objectives, and geographic redundancy.
- Cloud-Native Data Architecture: Examines the design and governance of data pipelines, APIs, and microservices in cloud environments.
- Risk Data Aggregation: Assesses alignment with BCBS 239 principles for timely, accurate, and comprehensive risk reporting.
- Incident Response and Reporting: Evaluates procedures for detecting, escalating, and reporting ICT-related incidents to regulators within mandated timeframes.
What this saves you
| Activity | Time Required Without this playbook | Time Required With this playbook |
| Developing assessment questionnaires | 120 to 160 hours | 2 hours (adaptation) |
| Mapping DORA to NIST AI RMF and ISO 27001 | 80 to 100 hours | 4 hours (review) |
| Creating audit response documentation | 60 to 80 hours | 10 hours (evidence collection) |
| Designing RACI and WBS for implementation | 40 to 60 hours | 6 hours (customization) |
| Total estimated time saved | 300 to 400 hours | 22 hours |
Who this is for
- Chief Data Officers in European insurance firms preparing for DORA compliance.
- Head of AI Governance responsible for model risk oversight in actuarial and underwriting systems.
- ICT Risk Managers tasked with third-party due diligence for cloud AI platforms.
- Compliance Officers needing to align data governance with EIOPA and ESMA expectations.
- Chief Information Security Officers overseeing data resilience and incident reporting.
- Project Managers leading DORA implementation programs.
- Internal Audit teams preparing for supervisory review cycles.
Cross-framework mappings
This playbook includes detailed control mappings across the following regulatory and industry frameworks:
- DORA (EU 2022/2554), Articles 14 and 25
- NIST AI Risk Management Framework (AI RMF 1.0)
- ISO/IEC 27001:2022 Information Security Management
- European Insurance and Occupational Pensions Authority (EIOPA) Guidelines on ICT Risk Management
- Basel Committee on Banking Supervision (BCBS) 239 Principles for Effective Risk Data Aggregation and Risk Reporting
What is NOT in this product
- This is not a software tool or automated compliance platform.
- It does not include custom consulting or advisory services.
- No integration with data cataloging, AI monitoring, or cloud security tools is provided.
- The templates are not pre-filled with organizational data.
- It does not cover Solvency II reporting or product pricing governance.
- There is no legal opinion or regulatory submission service included.
Lifetime access
You receive permanent access to all 64 files. There is no subscription fee, no login portal, and no recurring charge. After download, the materials are yours to use, modify, and distribute internally without restriction.
About the seller
The provider has 25 years of experience in regulatory compliance and risk management frameworks. They have documented 692 distinct regulatory, industry, and technical standards and built 819,000+ cross-framework control mappings. Their resources are used by over 40,000 practitioners across 160 countries in banking, insurance, asset management, and fintech sectors.
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