Canvas 26: Joe Dunleavy on Endava's AI-Native Delivery Model

Joe Dunleavy from Endava shares the behind-the-scenes story of how Endava rebuilt its delivery model around AI, and the principles, decisions, and challenges that came with it.

In this Canvas 26 keynote, Joe walks through Dava.Flow™, Endava's AI-native engagement lifecycle that uses Miro as its shared context engine. Most organizations have run AI pilots; far fewer have figured out how to make AI work the way their teams actually work — at scale, without sacrificing governance or traceability. Joe unpacks what it took to solve the human-agent decision-making bottleneck, why shared context is the connective tissue between strategy and delivery, and what's working (and what's not) in Endava's ongoing transformation.

If you're leading a consulting, services, or enterprise transformation team and you're trying to move AI from individual pilots to production-grade delivery, this one is for you.

Watch all Canvas 26 sessions here: https://www.youtube.com/watch

What's the biggest barrier to making AI delivery actually scale in your org? Let us know in the comments below! 👇

Chapters:

00:00 Intro with Joe Dunleavy

02:30 Setting the stage why AI must drive meaningful change

07:00 Keystone: how Endava redesigned its delivery model

16:00 The Methodology: introducing Dava.Flow™

18:00 Dava.Flow's four phases Signal, Explore, Govern, Evolve

23:00 Tech Stack Insight: the Context Warehouse with Miro

26:00 Change management, mindset, and wrap up

#Miro #Canvas26 #AItransformation