If you are a Third-Party Risk or Compliance Leader at a Regulated Financial Institution, this playbook was built for you.
You operate in an environment where vendor ecosystems are growing more complex, AI-driven decision-making is accelerating, and regulatory scrutiny is intensifying. Your ability to demonstrate control, traceability, and compliance across third-party relationships is no longer optional, it is a core requirement for audit, supervision, and operational resilience. This playbook delivers a structured, repeatable methodology to implement an AI-enhanced TPRM framework that aligns with global standards and withstands regulator and auditor review.
Today, you face mounting pressure to govern third-party AI use under frameworks like DORA, the FCA's Outsourcing and Third-Party Risk Management guidelines, and the NIST AI RMF. Supervisory expectations demand evidence of due diligence, ongoing monitoring, and clear accountability, especially when vendors deploy autonomous systems that influence credit decisions, fraud detection, or customer onboarding. Failure to maintain defensible documentation risks enforcement action, operational disruption, and reputational harm. Manual processes and legacy checklists are insufficient for AI-integrated vendor landscapes.
Engaging external consultants to design a compliant TPRM framework typically costs between EUR 80,000 and EUR 250,000 depending on scope and jurisdiction. Alternatively, dedicating internal resources requires 3 to 5 full-time staff over 6 to 9 months to research, draft, test, and operationalize policies, assessments, and evidence workflows. This playbook provides the same foundational structure, controls, and documentation templates at a fraction of the cost, just $395.
What you get
| Phase | Deliverable | File Count | Description |
| Assessment Foundation | AI-Powered Vendor Risk Assessment Workbook | 1 | 30-question assessment tool evaluating AI transparency, model governance, data provenance, and incident response in third-party systems. |
| Domain Assessment: Data Governance & Privacy | 1 | 30-point evaluation covering data lineage, consent management, cross-border transfers, and AI training data integrity. | |
| Domain Assessment: Model Risk & Algorithmic Accountability | 1 | 30-point evaluation of model validation, bias detection, explainability, and human oversight mechanisms. | |
| Domain Assessment: Cybersecurity & Resilience | 1 | 30-point evaluation aligned with ISO 27001 and DORA ICT risk requirements, including AI-specific attack surface analysis. | |
| Domain Assessment: Operational Continuity & Exit Planning | 1 | 30-point evaluation of failover processes, AI model retraining dependencies, and vendor exit readiness. | |
| Domain Assessment: Regulatory Compliance & Audit Trail | 1 | 30-point evaluation of logging, version control, regulatory reporting, and supervisory access capabilities. | |
| Domain Assessment: Contractual & Governance Oversight | 1 | 30-point evaluation of SLAs, audit rights, change management, and board-level reporting structures. | |
| Operational Execution | Evidence Collection Runbook | 1 | Step-by-step guide for gathering, validating, and storing evidence from vendors, including AI model documentation and SOC reports. |
| RACI & Work Breakdown Structure (WBS) Templates | 2 | Editable RACI matrix and project WBS to assign ownership and track implementation milestones across teams. | |
| Audit & Sustainability | Audit Preparation Playbook | 1 | Checklist and preparation guide for internal, external, and regulatory audits, including sample responses and document indexing. |
| Cross-Framework Mapping Index | 1 | Comprehensive matrix linking each control to DORA, FCA Outsourcing Guidelines, NIST AI RMF, ISO 27001, and COBIT 2019. | |
| TPRM Policy & Procedure Template | 50 | Modular templates covering vendor onboarding, risk tiering, ongoing monitoring, exception management, and board reporting. |
Domain assessments
The seven domain assessments each contain 30 targeted questions designed to evaluate critical risk dimensions in AI-integrated vendor relationships:
- Data Governance & Privacy: Assesses data sourcing, labeling practices, consent mechanisms, and compliance with GDPR and other privacy regimes as they apply to AI training and inference.
- Model Risk & Algorithmic Accountability: Evaluates model development lifecycle, validation rigor, bias testing, performance drift detection, and human-in-the-loop safeguards.
- Cybersecurity & Resilience: Reviews security controls for AI systems, including adversarial attack resistance, model poisoning prevention, and secure deployment environments.
- Operational Continuity & Exit Planning: Tests vendor preparedness for service disruption, model retraining bottlenecks, and data/model portability in termination scenarios.
- Regulatory Compliance & Audit Trail: Verifies logging completeness, model version tracking, audit access, and alignment with supervisory reporting expectations.
- Contractual & Governance Oversight: Examines contract enforceability, change control processes, escalation paths, and board-level risk oversight.
- Performance Monitoring & KPIs: Measures vendor performance against defined metrics, anomaly detection, and feedback loops for AI system improvement.
What this saves you
| Activity | Time Required (Traditional) | Time Required (With Playbook) | Saved |
| Developing AI-specific vendor assessment criteria | 120, 160 hours | 15 hours | 105, 145 hours |
| Mapping controls to DORA and FCA requirements | 80, 100 hours | 10 hours | 70, 90 hours |
| Creating evidence collection workflows | 60, 80 hours | 8 hours | 52, 72 hours |
| Designing RACI and project tracking tools | 40, 50 hours | 5 hours | 35, 45 hours |
| Preparing for regulatory audit | 100, 140 hours | 20 hours | 80, 120 hours |
| Total estimated time saved | 400, 530 hours | 58 hours | 342, 472 hours |
Who this is for
- Third-Party Risk Managers in banks and credit institutions implementing DORA-compliant vendor oversight
- Compliance Officers in FinTech firms managing outsourced AI and machine learning services
- Chief Risk Officers seeking to operationalize NIST AI RMF within vendor governance programs
- Information Security Leaders responsible for third-party cyber risk under ISO 27001 and COBIT 2019
- Internal Audit Teams preparing for regulatory inspections on outsourcing arrangements
- Legal and Contract Management Teams drafting AI vendor agreements with enforceable risk clauses
- Project Managers leading enterprise-wide TPRM implementation initiatives
Cross-framework mappings
This playbook includes explicit control mappings to the following regulatory and industry frameworks:
- DORA (Digital Operational Resilience Act) , Articles 24, 30 on ICT Third-Party Risk Management
- FCA Outsourcing and Third-Party Risk Management Guidelines (SYSC 8.1, SS18/21, and FG22/3)
- NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0)
- ISO/IEC 27001:2022 , Information Security Management
- COBIT 2019 , Governance of Enterprise IT, with focus on APO12, DSS04, and MEA03
- GDPR , Data protection obligations in automated decision-making and profiling
- Basel III Pillar 2 , Supervisory review process for operational risk, including outsourcing
What is NOT in this product
- Pre-filled templates with your organization's name, logo, or internal policies
- Legal advice or attorney-reviewed contract language
- Software, tools, or platforms for automating assessments or monitoring
- Consulting services, training sessions, or implementation support
- Industry-specific risk models for insurance, asset management, or payment institutions beyond core financial services
- Real-time updates or automatic regulatory change alerts
- Access to a community forum, support ticket system, or customer portal
Lifetime access
You receive permanent access to all 64 files. There is no subscription, no login portal, and no recurring fee. After purchase, you will receive a download link via email. The files are delivered as editable Microsoft Word, Excel, and PDF documents. You may store, print, and use them indefinitely across departments and projects within your organization.
About the seller
The creator has 25 years of experience in regulatory compliance and risk management, specializing in financial services. They have analyzed 692 regulatory, industry, and technical frameworks and built 819,000+ cross-framework control mappings. Their materials are used by over 40,000 compliance and risk practitioners across 160 countries, supporting implementation in banks, FinTechs, and regulated institutions facing complex supervisory requirements.>
