The book Team Topologies Second Edition (2025) demonstrates convincingly that organizing business and technology for fast flow of value via empowered teams produces outsized results for enterprises worldwide. As evidence from AI adoption spreads, it’s clear that organizations that already organize for bounded agency in humans are well-suited to adopting AI effectively and humanely.
However, it’s not enough to organize for value flow. Taken too far, a singular focus on value flow can lead to duplication, fragmented value, loss of innovation, financial inefficiency, and people isolated from networks of learning. An effective AI-savvy operating model also needs regular, curated, intentional context from informed, empowered humans. What’s missing in most organizations - even those that organize for value flow - is active knowledge diffusion and cross-organizational alignment via deliberate, curated sharing and selection of metrics, practices, techniques, and mental models.
In this talk, Matthew Skelton - co-author of the groundbreaking books Team Topologies and Adapt Together - shares deep insights about how organizations can find success with and without AI by enhancing the architecture for value flow provided by Team Topologies with deliberate alignment and innovation diffusion from Adapt Together, based on experience with hundreds of organizations worldwide.
Key takeaways:
- In an age of rapid change in technology, regulations, and markets, organizing for value flow is not enough: we need cross-organizational context, learning, innovation diffusion
- Team Topologies provides the architecture for value flow
- AI is forcing every organization to become a learning organization
- Ways of Learning become as important as Ways of Working
- Team Topologies provides the architecture for value flow; Adapt Together provides the discipline for “continuous context” and alignment