When AI Goes Wrong: Governance for Enterprise Teams

Enterprise AI programmes create risks that governance frameworks haven't caught up with yet. Non-technical teams building tools without guardrails. AI hallucinating in compliance-critical outputs. Sensitive information ending up in the wrong place. These aren't hypothetical, they're happening in live programmes right now.

In this session, we draw on real incidents to walk through the governance gaps that appear at scale: what triggers them, how to detect them, and what a practical governance layer looks like without slowing down the teams doing good work.

This isn't a CISO briefing. It's for the programme leads, heads of AI, and CIOs who need their AI investment to deliver outcomes without creating new liability. We'll cover the failure modes we see repeatedly, and the lightweight interventions that prevent them.

What you'll learn:

• The three governance gaps that appear in enterprise AI programmes
• How AI hallucination behaves differently in compliance versus productivity contexts, and how to manage both
• What ungoverned tool building looks like and why it keeps happening
• A lightweight governance framework that doesn't block progress
• The policy templates we use with clients before programmes go live

Who should attend:

CIOs, CTOs, Heads of AI, programme leads, and risk or compliance leads involved in enterprise AI deployments. Relevant for anyone responsible for ensuring AI tools deliver value without creating new risks.

What you'll leave with:

• A checklist of the common governance failures and how to prevent them
• A policy template for AI tool usage across non-technical teams
• A framework for distinguishing high-risk from low-risk AI use cases in your programme