Many AI initiatives don’t fail because the technology isn’t capable. They fail because the conditions around it aren’t right.

This evening is a panel format event to examine why AI programmes struggle in real organisations and what can be done differently next time. We’ll explore:

Proofs of concept that never saw the light of day
Strategies that make sense on paper but falter in delivery
AI tools that technically work, but no-one uses
Unclear ownership, competing priorities, and slow decision-making

Rather than focusing on ideal outcomes, the discussion will centre on what actually happens inside organisations - across leadership, delivery teams, and the wider business.

The expert-led leadership panel will reflect on:

Where AI initiatives typically break down between strategy and execution
Why adoption and behaviour change matter as much as technical performance
The role of culture, incentives, and accountability in keeping projects alive
What experienced leaders would approach differently in hindsight

The aim is to turn lived experience into practical considerations that can strengthen future AI initiatives.

Why this may be useful to you

You’ll come away with:

A clearer understanding of the non-technical factors that influence AI success
Insight you can use to challenge assumptions and ask better questions internally
Practical lessons drawn from real programmes
Connecting with other leaders on their experiences, fails and learnings
Perspective on how to design AI work that has a better chance of lasting

This is particularly relevant for those involved in sponsoring, leading, or delivering AI programmes or anyone navigating the complexity of introducing AI into established organisations.

Who should attend

Heads of AI, Data, and Machine Learning
CIOs, CDOs, CTOs
Transformation and change leaders
Business and programme owners accountable for AI outcomes

Panel Topics

Introduction and brief history in AI
Why AI Programmes Fail: PoC graveyards, strategy-execution gaps, misaligned stakeholders.
Adoption & Behaviour Change: Why the model isn’t the problem; making people actually use AI.
Politics, Culture, Ownership: Hidden blockers, accountability, and keeping projects alive.
If We Could Rewind: What leaders would do differently.
From Postmortem to Prevention: Concrete safeguards, a short checklist, and audience Q&A.

Evening Format

5:15pm - Arrival with drinks, food and networking
6:00pm - Panel discussion including Q&A
6:45pm - Networking and drinks
9:00pm - Close

We’d love for you to join us – spaces are limited, so please RSVP to confirm your attendance.

Looking forward to seeing you there.

AI failure forum Post-mortem and prevention