If you are a compliance officer, risk lead, or AI governance specialist at a FinTech lending platform, this playbook was built for you.
As algorithmic decisioning becomes central to credit underwriting, regulatory scrutiny on model transparency, fairness, and accountability has intensified. You are expected to maintain rigorous oversight of AI/ML systems while enabling innovation in lending products. The burden of proving compliance with overlapping frameworks, spanning conduct risk, model risk, and AI-specific regulation, falls directly on your team. Without a structured governance framework, you face heightened audit risk, potential enforcement actions, and reputational exposure tied to biased or opaque credit decisions.
Engaging external consultants to design an AI governance framework typically costs between EUR 80,000 and EUR 250,000. Alternatively, dedicating internal resources requires 2 to 3 full-time staff over 4 to 6 months to research, draft, and operationalize policies, controls, and documentation aligned across jurisdictions. This comprehensive AI Governance & Model Risk Management Playbook delivers the same outcome at a fraction of the cost: $395 one time, with no recurring fees.
What you get
| Phase | File Type | Description | Quantity |
| Foundation | Domain Assessment | 30-question evaluation covering governance, model development, validation, monitoring, ethics, data provenance, and audit readiness | 7 |
| Evidence Collection | Runbook | Step-by-step guide to gather and organize documentation required for internal audits and regulatory reviews | 1 |
| Audit Preparation | Playbook | Checklist-driven process to prepare for model risk audits under SR 11-7 and FCA thematic reviews | 1 |
| Implementation | RACI Template | Pre-built responsibility assignment matrix for AI governance roles across data science, risk, compliance, and legal | 1 |
| Implementation | WBS Template | Work breakdown structure for launching an AI governance program, including milestones and deliverables | 1 |
| Cross-Alignment | Cross-Framework Mapping | Detailed matrix linking controls to UK FCA, EU AI Act, SR 11-7, and OECD AI Principles | 1 |
| Sample | Chapter Sample | 30-question AI Model Risk Assessment for Automated Credit Underwriting (representative of full domain assessments) | 1 |
| Total Files | 64 |
Domain assessments
- Model Governance: Evaluates the existence and effectiveness of oversight structures, escalation protocols, and decision rights for AI/ML models in credit risk.
- Data Quality & Provenance: Assesses data sourcing, lineage, integrity, and bias mitigation practices across training and operational datasets.
- Model Development & Documentation: Reviews adherence to standardized development lifecycle procedures, version control, and technical documentation completeness.
- Model Validation: Measures independence, rigor, and frequency of validation activities including backtesting, sensitivity analysis, and benchmarking.
- Ongoing Monitoring & Performance Tracking: Examines real-time model performance dashboards, drift detection, and retraining triggers.
- Ethics & Fair Lending: Tests alignment with fairness principles, disparate impact analysis, and explainability for adverse decisions.
- Audit Readiness & Regulatory Reporting: Confirms availability of audit trails, model inventory records, and regulatory submission preparedness.
What this saves you
| Activity | Time Required (Internal) | Cost (Consulting) | With This Playbook |
| Develop AI governance policy framework | 3, 5 months | EUR 120,000+ | Download and adapt in 2 weeks |
| Map controls to UK FCA and EU AI Act | 6, 8 weeks | EUR 45,000 | Pre-mapped templates included |
| Prepare for SR 11-7 model risk audit | 4, 6 weeks | EUR 60,000 | Audit prep playbook included |
| Create RACI and WBS for AI governance rollout | 2, 3 weeks | EUR 25,000 | Templates provided, ready to customize |
| Conduct domain-level model risk assessments | 50+ hours per domain | EUR 80,000 (7 domains) | 7 pre-built 30-question assessments included |
Who this is for
- Compliance leads at digital lending platforms implementing AI-driven underwriting engines
- Model risk managers responsible for validating and monitoring credit scoring models
- Chief AI Officers or Heads of Responsible AI establishing governance programs in regulated environments
- Risk committee members needing assurance over algorithmic lending systems
- Internal auditors preparing to assess AI model risk controls
- Data science leads required to document models for regulatory review
- Legal counsel advising on compliance with the EU AI Act and UK conduct rules
Cross-framework mappings
- UK Financial Conduct Authority (FCA) Principles for Businesses (PRIN, SYSC, COND)
- European Union Artificial Intelligence Act (Title III, Chapter 2 , High-Risk AI Systems, Annex III , Credit Scoring)
- Federal Reserve SR 11-7 Supervision of Model Risk Management
- OECD Principles on Artificial Intelligence (transparency, fairness, accountability)
What is NOT in this product
- This playbook does not include custom legal advice or jurisdiction-specific interpretations beyond documented regulatory expectations.
- It does not contain software, code libraries, or integration tools for model deployment or monitoring platforms.
- No automated audit trail generation or real-time model monitoring capabilities are provided.
- The templates are not pre-filled with your organization's data or model inventory details.
- There is no ongoing support, training, or consulting included with purchase.
- This is not a certification body or audit service; it prepares you for external review but does not confer compliance status.
Lifetime access and satisfaction guarantee
You receive one-time download of all 64 files with no subscription, no login portal, and no recurring fees. Store the files in your internal knowledge base and use them across projects. 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: For over 25 years, we have specialized in translating regulatory expectations into operational frameworks for financial institutions. Our research spans 692 global compliance and risk management frameworks, with 819,000+ cross-framework mappings developed to support practical implementation. To date, 40,000+ practitioners across 160 countries have used our playbooks to strengthen governance, reduce risk, and accelerate compliance readiness.
Need this for your team? We offer site licenses starting at $2,500 for up to 25 users. Reply to this page or DM Gerard directly on LinkedIn.
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