From insight to impact: Inside Day 2 of the Enterprise AI Summit

If AI expands our capacity tenfold or more, how do we decide what’s worth doing, and how do we need to change our organisations to make it possible? These questions shaped Day 2 of the Enterprise AI Summit, hosted by IT Revolution in partnership with Newton. 

Summit Chair Gene Kim welcomed the 150 “kindred spirits and fellow travellers” back to Bletchley Park today, commenting that the quality of conversations he’s already had proves the adage, “so many outcomes in life are determined by the company you keep”.  

Across sectors, speakers agreed that our ambition for AI should be enormous. Simply doing the same things faster and with fewer people misses the opportunity to do what was previously impossible. Speed only creates value when organisations can keep up. Traditional approval processes, organisational silos and decision-making structures now risk becoming the biggest barriers to progress.

To open the day, Gene challenged organisations to look beyond 20% productivity improvements, arguing that advanced teams are achieving gains many times greater. The opportunity is not simply to make existing processes faster, but to rethink what can be accomplished. 

With fair warning that “there will be maths” in his talk, Gus Paul explained how Morgan Stanley is translating the impact of AI productivity gains to the dollars and cents that matter to leadership. Measuring speed alone is not enough, as he has learned in his role leading the software development life cycle (SDLC) optimisation programme at the global firm. Organisations must quantify business value and understand how speed in one area can create bottlenecks in another. 

Against the backdrop of Bletchley Park, Dustin Warner, Director of Software Engineering at NRC Health, acknowledged that the “emergency” behind his team’s transformation paled in comparison with a world war. He described how a small AI-enabled team built a business-critical software platform in only 90 days after a competitor bought their technology provider.  

At the close of two days of candid discussion, practical examples and shared learning, a clearer picture has emerged of what it takes to turn AI’s potential into meaningful outcomes. Spoiler: it might mean reimagining every aspect of how organisations work.  

Several themes stood out for leaders to take forward: 

• AI can break down traditional barriers between roles and disciplines. Developers can work across previously separate specialisms, while non-technical employees can contribute directly to product development, accelerating delivery and making better use of talent across the organisation. 

• High-performing leaders are becoming enablers, not gatekeepers. Effective leadership is shifting from managing processes and solving problems to setting direction, enabling autonomy and creating the conditions for high performance. 

• AI adoption is as much a human challenge as a technical one. Even with the same tools, teams achieve very different results depending on their willingness to question established habits and change how they work. Leaders need to build confidence, create space for experimentation and give people a compelling reason to change, without waiting for a crisis to make the case for them. 

• A distinct set of UK priorities is shaping the AI conversation. Across the sessions, regulatory demands, security and safety emerged alongside a strong emphasis on outcomes for people. For organisations adopting AI, building trust and demonstrating meaningful benefits will be central to turning technical capability into lasting value. 

Having attended an AI Enterprise Summit in the US, Newton’s Technology Director, Justin Geldof, welcomed the event’s UK return as a chance to explore how priorities and challenges differ on this side of the Atlantic. “The US is a great engine for innovation and we can take so much from their experience and benefit from the sharing of learnings and best practice globally,” he said. “It’s been a great opportunity today to understand more about the application of AI within the bounds of UK regulations, governance, and risk.” 

Reflecting on the insights shared by some of the world’s most switched-on AI leaders, Gene encouraged delegates to put their learning into practice. “The common thread among these experience reports is technology and business leaders achieving what was impossible six months ago,” he said. “We’ve seen what’s possible. The question now is how much ambition and imagination we can bring to achieving the outcomes that really matter.”