Internal Conferences, Team Topologies, and the AI Learning Organization
Anne Currie speaks with Matthew Skelton, co-author of the bestseller Team Topologies and CEO of Conflux, about why AI is exposing weak organizational design and making intentional knowledge-sharing more important than ever.
They chat about how internal conferences, shared language, and clear team boundaries help organizations align faster, reduce duplication, and spread useful practices across the business. The conversation also introduces Matthew’s upcoming book Adapt Together and a new leadership program, Engineering the AI Native Organization.
Key topics
In this episode, Matthew explains that AI is acting like a bright light on organizational effectiveness, making unclear operating principles and vague responsibilities much harder to ignore.
He connects Team Topologies to the broader challenge of organizational architecture, arguing that value flow depends on clear team boundaries, aligned workflows, and shared understanding.
Matthew and Anne discuss how internal conferences at places like Financial Times, Metaswitch, and Klarna helped teams share knowledge, avoid duplication, and accelerate cloud native adoption.
They emphasize that the real value of conferences is not just the talks, but the hallway track, where context, nuance, and shared meaning are built through conversation.
Matthew introduces an innovation and practices enabling team, or IPET, as a way to spot emerging good practices, curate them, and help them spread across the organization.
The episode highlights the importance of intentional knowledge diffusion, especially now that AI systems depend on human-generated context and well-aligned terminology.
They discuss why leaders must define what good looks like, rather than assuming work is obvious or that teams will naturally converge on the right approach.
Matthew argues that organizations need a continuous refresh of context because what worked three months ago may already be outdated in fast-changing environments.
The conversation closes with Matthew describing Engineering the AI Native Organization, a leadership program for helping non-engineers understand concepts like APIs, decoupling, and asynchronous working in organizational terms.
#AI #learningorganisations #TeamTopologies #ITRevolutions
Transcript
