AI & Data Governance in FinTech: Practical Oversight Beyond the AI Act

Introduction

This new webinar will provide you with a practical, implementation-focused approach to standing up AI governance frameworks in financial services - focusing on model inventory and risk tiering, validation and monitoring, data lineage, and vendor controls - while aligning with Consumer Duty and financial crime requirements.

This webinar is designed for SMF16/17, Risk Managers, Compliance Officers, Data and Model Owners, Procurement Teams, and other Senior Management Functions.

What You Will Learn

This webinar will cover the following:

• Why Governance, Why Now
• Regulatory momentum: UK approach beyond the EU AI Act (FCA, PRA, ICO expectations)
• Links to Consumer Duty
• Financial crime implications
• Role of innovation sandboxes and controlled testing environments
• Core Governance Toolkit: Practical Implementation
• Model inventory
• Risk tiering
• Validation and monitoring
• Performance metrics
• Human-in-the-loop oversight
• Model cards: structured documentation to support audit and explainability
• Data Guardrails
• Data lineage and traceability
• Lawful basis and DPIA/AI assessments: embedding privacy and risk reviews
• Retention and minimisation: avoiding unnecessary accumulation of risk
• Vendor data rights and usage: ensuring clarity and compliance in sourcing
• Auditability and evidence
• Third-Party and Procurement Controls
• Due diligence for third-party models and AI tools
• Procurement checklists
• Key contractual clauses
• Ongoing assurance and monitoring to avoid “set and forget”

This pre-recorded webinar will be available to view from Monday 16th February 2026

Alternatively, you can gain access to this webinar and 1,900+ others via the MBL Webinar Subscription. Please email webinarsubscription@mblseminars.com for more details.