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Well Intentioned Bottlenecks: Why Work Feels Harder Than It Should
Paul BarrettDone
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I Wrote Two Books on Agile. Then I Ran 112 Sprints Alone With AI Agents.
Brian WillDone
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Lessons from 3 Transformations - What is stopping you is your decisions
Nash TripathiDone
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When the Product Operating Model Meets the System Underneath It
Stephanie GrootDone
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Beyond Coding: AI in the Rest of the Agile Software Lifecycle
George PaciDone
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Retrospectives, meet AI 👋
David HorowitzDone
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From Idea to Acceptance Criteria: Using AI to Strengthen Product Leadership in Agile Delivery
Heath Rasnake and Sammi SharmaDone
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Practical Agility for Teams Using AI: Seven Years of Lessons from a Credit Union's ML Team
Jonathan Bruskin and Richard WoolstonDone
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The Product Operating Model Walks Into a Sprint
Fadi StephanDone
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Sponsor Panel - State of the Agile/AI UnionDone
Steve Moubray is a digital transformation coach and the founder of Leading with Less.
Drawing on a decade of Lean and Agile transformation work, he coaches executives, middle managers, Scrum Masters, and product managers on applying AI wisely. His focus is more value and less waste. AI should amplify the good, not add chaos.
He is Google AI certified, an ICAgile course creator, and holds ICF and ICAgile coaching credentials
AI does not fix a broken process. It speeds it up and creates more waste.
Teams generate 5x more code and 13x more defects. A sales engine triples leads and salespeople close fewer deals. AI generates a gorgeous a gorgeous and detailed playbook, and nothing is usable.
Point AI at a process full of waste and you grow the waste faster than you ever could before.
As Agilists and Transformation Agents, we know how to fix this. We may have forgotten and just need to remember.
Managers in the middle are the ones who can do this and need this information.
We’ll review how a Lean Agile Mindset can be applied to your AI Transformation. Map out the flow of value, find the bottlenecks, use AI to Amplify the Good.
More Value. Less Waste.
We’ll walk through some case studies, wins and failures. We’ll talk about a real situation where we moved AI in the process and defects dropped about 30% and valuable throughput increased by about 20%.
Bring a workflow that worries you and leave with a one-page map so you can see where AI belongs or even if it does.