QCon London 2026: Team Topologies as the ‘Infrastructure for Agency’ with AI
Your AI agent strategy will fail without this one thing: organisational maturity.
Why it matters
As AI agents move from proof-of-concept to production, technical capability alone isn't enough—team structure, governance, and knowledge diffusion determine whether companies actually extract ROI from their AI investments.
The key facts
10 to knowMatthew Skelton argument: AI success depends on organisational maturity
Key pillars identified: bounded agency, security, stewardship
Innovation and Practices Enabling Teams model proposed for knowledge diffusion
Focus on optimising internal processes for real-world AI ROI
QCon London 2026 presentation
Matthew Skelton argues AI success depends on organisational maturity
Bounded agency, security, and stewardship identified as key management levers
Innovation and Practices Enabling Teams recommended as governance model
Focus on knowledge diffusion and internal process optimization for ROI
QCon London 2026 conference presentation (March 31, 2026)
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: At QCon London 2026, Matthew Skelton argued that AI success depends on organisational maturity. He highlighted bounded agency, security, and stewardship as key to managing AI agents. By using Innovation and Practices Enabling Teams, companies can drive knowledge diffusion and optimise internal…