🗓️ Wednesday, 1st October
⌚ 16:00 - 16:45
📍 Wellington Place
☕ Refreshments Provided
Many organisations are exploring AI, but few see their pilot projects through to production. Recent figures suggest that up to 88% of AI PoCs fail to launch. This session takes a closer look at why that is and what can be done differently to increase success rates.
Grounded in a real-world case study with the Medicines and Healthcare products Regulatory Agency (MHRA), this conversation will reflect on the full lifecycle of an AI project - from early ideas and feasibility, through pilots, and into live production.
The panel brings together voices from data, engineering, delivery, and project management to share lessons from a successful GenAI implementation that is now helping to inform transparent AI in regulation around the world.
This session will explore:
- Why so many AI pilots stall and what can be done to avoid it
- How to set projects up for a smoother path from PoC to production
- The infrastructure, process, and people considerations that shape long-term success
- What it takes to make GenAI work in a highly regulated public sector setting
Speakers:
Phil Gillibrand - Deputy Director - Strategy and Architecture, MHRA
Amy De-Balsi – Programme Manager, MHRA
Adam Brookes – Head of Consultancy, Audacia
Ryan Crompton – Principal Software Consultant, Audacia
Chris Bentley – Senior Data Scientist, Audacia
This session is for anyone interested in how to move AI projects beyond pilots and into production. Whether you’re a CIO, CTO, engineering or product leader, delivery manager, project owner, compliance professional or part of a team navigating regulation in public or private sectors. If you're interested in making GenAI (or any AI) viable, scalable and sustainable you’ll gain lessons learnt in delivering a production system in a heavily regulated environment.
