AI Powered Agile, Agentic Workflows & The Future of Delivery | Dave Westgarth

Описание: AI is accelerating delivery — but speed alone is not the goal.

In this episode of the AI Accelerator Podcast, host Matt Zembruski sits down with Dave Westgarth, Head of Delivery at Unifeye, to explore how AI is transforming agile teams, delivery metrics, and the future of digital work.
With over a decade of experience across development, agile leadership, and enterprise delivery, Dave shares practical insights into integrating AI into real workflows — without sacrificing engineering standards, strategic thinking, or team wellbeing.

Together, they unpack what happens when AI accelerates everything — from coding to experimentation — and why organizations must rethink metrics, leadership expectations, and even career development in an AI-powered world.

In this episode, Dave reveals:
◼️ Why AI is the biggest sustained transformation wave in modern tech
◼️ The danger of “prototype purgatory” in AI adoption
◼️ Why traditional delivery metrics may soon become meaningless
◼️ How cycle time, DORA, and flow metrics change in an AI world
◼️ What Parkinson’s Law 2.0 means for AI-powered professionals
◼️ Why speed alone is not a strategic advantage
◼️ How AI democratizes development — but doesn’t replace craftsmanship
◼️ The risks of messy AI-generated code in production systems
◼️ Why security, scalability, and architecture still require human expertise
◼️ How product managers can now experiment without heavy engineering lift
◼️ The difference between experimentation tools and production systems
◼️ Why organizations must adopt a learning mindset, not just new tools
◼️ The leadership recalibration required in AI acceleration
◼️ How AI increases expectations — and the burnout risk that follows
◼️ Why understanding how LLMs work reduces fear and increases effectiveness

Chapters
00:00 – Welcome to the AI Accelerator Podcast
00:20 – Introducing Dave Westgarth & Unifeye
02:00 – From developer to Head of Delivery
04:00 – The AI tidal wave hitting agile delivery
05:30 – Escaping the prototype trap
07:00 – Injecting AI into retrospectives and workflows
09:00 – Measuring AI success: flow, DORA & beyond
10:30 – Why AI breaks traditional delivery metrics
13:00 – AI, experimentation & Lean UX
15:00 – Democratization of development
17:00 – Why AI-generated code is not production-ready
19:00 – AI will not replace engineers — but it changes their role
20:00 – Parkinson’s Law 2.0 and rising expectations
22:00 – Leadership recalibration in AI transformation
24:00 – The danger of speed for speed’s sake
26:00 – Why “wait and see” is not a strategy
28:00 – Tools alone don’t create transformation
29:30 – Dave’s AI learning plans and skill acceleration
32:00 – Reducing fear through technical understanding
34:00 – Final advice for organizations adopting AI

Key Learnings
✔ AI dramatically accelerates delivery — but speed must serve strategy
✔ Traditional agile metrics will need rethinking in an AI-first world
✔ AI lowers experimentation cost, increasing innovation capacity
✔ Production-grade systems still require engineering discipline
✔ Security and scalability cannot be “prompted” into existence
✔ Organizations must move from tool adoption to learning adoption
✔ Leaders must recalibrate expectations as productivity rises
✔ AI increases output — and can increase burnout
✔ Technical literacy reduces fear and improves AI effectiveness
✔ Waiting for best practices to stabilize may mean falling behind

💬 Dave’s Most Powerful Quotes
“Speed is not a natural good.”
“AI doesn’t remove the need for craftsmanship.”
“The barrier to entry has never been lower.”
“Work grows to fill the capacity AI creates.”
“If you understand how LLMs work, a lot of fear disappears.”

Follow Dave Westgarth
LinkedIn: Dave Westgarth   / dave-westgarth  
X: https://x.com/dave_westgarth
Linktree: https://linktr.ee/davewestgarth

Follow Matt Zembruski
Website: https://leadingaiagility.com
LinkedIn:   / mattzembruski  
Email: [email protected]
Phone/Text/WhatsApp: +1 978-618-5778
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