London Workshop: AI Governance in Practice

November 11, 4:00–6:00 PM • London

Modern AI moves fast. Governance needs to move faster. Join us in London for a concise, hands-on session focused on real-world AI governance — what good looks like, how to implement it, and how to make it stick across teams.

Who should attend

• AI Governance Professionals
• Model Risk & Validation, Compliance, Internal Audit
• Data Science & ML Engineering, Product, and IT/Risk
• Legal & Policy teams responsible for AI/ML oversight

What you’ll learn (and practice)

• Policy → controls: Turn AI principles into concrete, testable controls and approvals.
• Evidence you can defend: Design validation tests for data quality, performance, robustness, fairness, and drift.
• Monitoring that works: Define KPIs, thresholds, and alert-to-remediation workflows.
• Change management & traceability: Connect model changes to approvals, tests, and deployment records for auditability.

Format and Speakers (interactive + practical)

Short talks followed by guided mini-exercises using realistic case studies and editable templates. You’ll leave with artifacts you can adapt immediately.

Speakers:

Hannes Krabbe, Solution Architect, ValidMind

John Rea, Client Success Partner, ValidMind

Agenda (2 hours)

4:00 PM — Arrival & Networking
 Light bites and drinks. Meet fellow AI, risk, and compliance professionals. Discuss challenges everyone faces in AI governance.

4:15 PM — Welcome, Introduction & Workshop Goals
 Overview of the session objectives and why AI governance is foundational to responsible innovation.

4:25 PM — The AI Governance Stack: Frameworks and Roles
 Understand the key components of an AI governance framework — from policies and controls to roles, to risk tiering, RACI models, and organizational operating models.

4:45 PM — Translating Policy into Practice
 How to align external regulatory and internal policy requirements with governance structures and control frameworks, using SS1/23 as an example.

5:05 PM — What “Good AI Governance” Looks Like
 Defining the standards for validation, documentation, and monitoring to demonstrate compliance and trustworthiness.

5:25 PM — Building Sustainable Oversight: KPIs and Monitoring
 How to define meaningful metrics and thresholds to continuously manage AI risk and performance.

5:45 PM — Capstone Discussion: Creating a Governance Inventory That Works
 Collaborative discussion on building a practical, lightweight governance framework that scales across teams and technologies.

5:55 PM — Debrief & Next Steps
 Recap key learnings, share resources, and outline actions for strengthening AI governance in your organization.

6:00 PM — Close and post-workshop drinks and networking.

What you’ll take away

• A governance dossier template (policy mapping, controls, RACI, risk assessment, validation plan, monitoring plan, change log)
• Example model card / system card templates
• A 60–90 day playbook to stand up or mature your AI governance operating model

Logistics

• Date & Time: Tuesday, November 11, 2025 • 4:00-6:00 PM
• Location: London (venue details shared upon registration)
• Capacity: Limited to keep the session interactive
• Bring: A laptop (recommended for templates); an AI/ML use case from your org (optional)

Why attend

• Practical over theoretical: Leave with working artifacts, not just ideas.
• Cross-functional by design: Risk, data, and product perspectives in one room.
• Audit-ready outcomes: Evidence and workflows you can defend.