Modelling Team Constraints in AI Delivery
When AI automates routine execution, bottlenecks shift to team cognitive load, requiring organizations to rethink how they optimize for fast flow
When AI automates routine execution, bottlenecks shift to team cognitive load, requiring organizations to rethink how they optimize for fast flow
AI makes it dangerously easy to polish and push shallow "first, worst solutions," bypassing the messy work of learning and understanding that's needed to solve complex organizational problems.
Modern frontier AI product leaders are finding success by embracing the original Agile principles
As AI accelerates development velocity, Kanban becomes a necessary tool for organizations to manage bottlenecks in end-to-end flow.
AI makes generating solutions easier, but it can't create a strong continuous improvement process that focuses on solving the right problems.
AI requires the same organizational agility, decentralized decisions, and cultural shift as Agile.