Organising 100+ Engineers to Build Autonomous AI Systems
By The AK Dispatch
The structure of your teams determines what you can build. Design teams to create the architecture you want.
60-70% of headcount
Cross-functional teams owning end-to-end delivery of agentic AI products
20-25% of headcount
Build internal products that Stream-Aligned teams consume as self-service
10-15% of headcount
Handle parts requiring deep specialized knowledge
5% of headcount
Help teams overcome obstacles and learn new capabilities
Working closely for defined period
One team consumes with minimal interaction
One team helps another learn, then disengages
Platform Teams = Product Mindset
Treat engineers as customers, measure satisfaction
Clear API Contracts
Versioned APIs with docs and SLAs, full self-service
Inverse Conway Maneuver
Design architecture first, then align teams to it
Minimize Dependencies
Teams only depend on self-service platforms
Fast Feedback Loops
Product teams ship weekly, platforms never bottleneck
Team Stability
Give teams 12-18 months to gel before reorganising
Months 1-6: Productive chaos • Months 6-12: Velocity increases • Months 12-18: You're scaling
Months 18-24: Organisational competitive advantage
While competitors coordinate in meetings, you ship agentic AI products that work
Click on team types and evolution phases to explore details
Based on Team Topologies by Matthew Skelton and Manuel Pais