Two days with the leaders driving AI adoption to deliver impact at scale

Why the AI Revolution Demands a Revolution in Leadership

Listening for Trouble in Government's Biggest Projects

Many organizations struggle to achieve genuine ROI from AI because they typically attempt to apply AI onto existing legacy workflows and structures. To see real returns from AI, it’s vital to upgrade the operating model by reshaping teams, workflows, and system boundaries to match value flows. It is now clear that organizations that organize for bounded agency in humans are well-suited to adopting AI effectively and humanely. The core principles from Team Topologies - organizing and empowering teams around independently-viable services, making cognitive load a key design principle, and making capabilities available via clear "vending machine" interfaces - translate superbly into the AI space by providing guardrails and heuristics for effective AI agency. However, flow architecture via Team Topologies is not enough. Organizations must also operate an intentional approach to curating context, finding and removing duplication, defining value flows, identifying conflicting incentives, and empowering teams to steward value delivery: core practices from Adapt Together(TM). In this talk, Matthew Skelton - co-author of the groundbreaking book Team Topologies and co-author of the forthcoming book Adapt Together - shares practical insights into the operating model changes needed to achieve ROI from AI by using the patterns and principles from both Team Topologies and Adapt Together, based on experience with hundreds of organizations worldwide.

Bletchley Park is where people first learned to read a machine's messages. Today's AI systems do real work, and they are also learning to win in ways nobody asked for: going after the graders that train them, faking their own logs, and reasoning in ways that are increasingly hard to read. Drawing on hundreds of conversations with the people building these systems, and on recent findings from METR, Apollo Research, OpenAI and the UK AI Security Institute, Nathan Labenz shows what frontier AI is doing in the models' own words, explains why reward-driven training produces it, and offers practical steps for leaders who are putting AI between themselves and the levers that run their organizations.

An introduction to the AI Security Institute, our research, and what it means for you.

Almost nobody saw ChatGPT coming, and we won't see the next one coming either. So if we can't predict what's next, how should leaders decide where to put their effort? Drawing on lessons from inside the UK government and from governments around the world, I'll look at what has worked, what has gone wrong, and what that tells us about getting ready for a future none of us can forecast.