Integrating AI into Scrum Teams: Insights with Claudio Lassala

Discover how AI can be seamlessly incorporated into Scrum teams to enhance productivity, storytelling, and problem-solving. Claudio Lassala shares real-world experiences of leveraging AI to fill skill gaps, automate tasks, and scale solutions, challenging traditional notions of team roles and developer identities.

Key Insights:

• The importance of teaching AI your principles for better, personalized outcomes

• AI's role in automating routine tasks allows developers to focus on high-value stakeholder engagement

• Emphasizing a solution-oriented mindset rather than coding as an identity

• Managing resistance by framing AI as a problem-solving partner, not a threat

• Continuous re-skilling and mindset shifts needed for teams to thrive with AI

• Leaders should focus on enabling their teams to leverage AI ethically and effectively

 

drunkenpmradio · How AI is Transforming Scrum Teams - Practical Strategies from Claudio Lassala

Timestamps:

00:00 - Introduction and Claudio's background in IT and agile coaching

02:21 - How AI is integrated into Scrum teams

03:45 - Using AI to write user stories and acceptance criteria

05:24 - The importance of conversations and stories in Agile

07:01 - Teaching AI to reflect team principles and critique solutions

08:15 - Addressing fears of losing roles with AI integration

09:42 - Resistance from team members and how to approach it

11:08 - Demonstrating productivity gains with AI-driven planning

12:13 - Balancing automation with the human touch in problem-solving

15:03 - Clarifying misconceptions about AI automating all tasks

16:38 - Managing detailed task decomposition with AI

18:04 - The evolution of developer roles and knowledge retention

20:17 - Using analogies like cars with carburetors to explain technological shifts

21:34 - Passion projects and opportunities AI unlocks

23:29 - How AI might change the identity of developers

26:38 - The need for continuous retraining and knowledge updating

29:43 - Supporting team members in adapting to AI tools

33:01 - Leadership strategies for leveraging AI ethically and effectively

36:16 - Personal storytelling: AI in content creation and blogging

37:04 - Claudio’s favorite guitar solo and closing thoughts

Contact Claudio

• LinkedIn https://www.linkedin.com/in/claudiolassala/

• Web / Blog https://lassala.net/

• Improving https://www.improving.com/profile/claudio-lassala/

The AI Engagement Lifecycle with Endava, Dava.X.AI, and Miro

Endava set out to reinvent how IT services get delivered in an AI-native world. Dava.X.AI is the group inside Endava driving that shift. Miro is the workspace they're building it on. Together they've shipped Davaflow — an AI engagement lifecycle that runs from signal to explore to govern to evolve, with humans and agents working alongside each other the whole way.

Takeaways

Reframe from value capture to value creation — don't use AI to make existing processes 10–15% better, reimagine the work entirely from an AI-first perspective.

IT services hit its "ChatGPT moment" two years ago when clients and analysts started asking Endava why they were needed if AI could just write the code.

AI is becoming a method, not a tool — just as Agile organized humans to do work, this new method organizes agents and the people working alongside them.

The technology question is largely settled; the change management question isn't — quality has hit the inflection point, and what remains is the human shift, much like Waterfall-to-Agile.

DavaFlow runs in four phases — Signal, Explore, Govern, and Evolve — moving from identifying the right problem, through virtual personas and prototypes, to governing agent output, to evolving in production.

Chat is the wrong interface for most of this work — humans are visual creatures, and tools like Miro give LLMs context that a chat box never could.

AI-driven work can produce better traceability than humans ever did — every decision and prototype connects back through the chain of thought, what Joe called "traceability on steroids."

Anyone can buy the tools — what separates enterprise work from vibe-coding chaos is policy-as-code, defined skills, and human-in-the-loop checkpoints.

Adoption happens in baby steps, not the full vision — showing people the end of the journey overwhelms them, so start at signal and layer in each next step.

The hardest part is the identity question — engineers liked writing code and designers liked crafting prototypes, and the shift is a growth-mindset problem, not a skills problem.

Links from the Podcast

• 
  Endava: https://www.endava.com/
• Dava.X.AI https://www.endava.com/dava-x/dava-x-ai
• Miro: https://miro.com/index/

Upcoming Miro Canvas Events

• Main Canvas 2026 landing page: https://canvas.miro.com/
• Register for the streaming event on May 19 where Joe will be speaking:  https://canvas.miro.com/sanfrancisco/virtual-keynote
• Register for the in-person event on May 19th in San Francisco where Joe is speaking live:  https://canvas.miro.com/sanfrancisco
• Register for the in-person event on June 2nd in London where Matt will be speaking live: https://canvas.miro.com/london
• Register for the in-person event on June 16th in Sydney where Wesley Fagan the APAC SVP for Strategy and Chief Design Officer at Endava will be speaking live: https://canvas.miro.com/sydney

Contacting the Guests

• Matt Cloke https://www.linkedin.com/in/mattcloke/
• Joe Dunleavy https://www.linkedin.com/in/joedunleavy/
• Dave Ross https://www.linkedin.com/in/davidmross/
• Dave Prior https://linktr.ee/mrsungo

Chapters

00:00 Introduction to Endava and AI Transformation

08:54 Navigating the AI Landscape: Challenges and Opportunities

17:52 The Evolution of Miro and AI Integration

24:00 Dava Flow: The AI Engagement Lifecycle

25:49 The Power of Visual Context in AI

27:03 Enhancing Contextual Understanding with AI

29:12 Temporal Dimensions in Decision Making

31:27 Navigating Change in Organizational Mindsets

35:40 Demonstrating Value to the C-Suite

38:13 Embracing the Future of Work

41:09 Amplifying Human Creativity with AI