In this episode of the Scaling With Agility podcast, host Yuval Yeret welcomes Clemens Adolphs, co-founder of AIce Labs, a company specializing in helping organizations successfully implement AI initiatives. Their conversation dives into the intersection of AI and agility, exploring how to avoid the all-too-common proof-of-concept trap and instead focus on delivering genuine outcomes. From internal market validation to adapting agile methods to the unique context of AI projects, this discussion is essential listening for leaders who want to scale AI initiatives without falling into process theater.
Highlight Quotes / Concepts
Why most AI proofs of concept never scale—and what to do instead
Internal market validation as a critical success factor
Adapting agile practices to the unique uncertainty of AI
Recognizing and preventing common anti-patterns when combining AI and agility
Chapters
(01:28) Clemens Adolphs’ Background and Journey into AI Implementation
(03:46) Challenges Organizations Face When Bringing AI into Production
(09:02) The Role of Prototyping and Experimentation in AI Projects
(11:09) Why Internal Market Validation Beats Metrics Theater
(16:29) Collaboration Models and Execution Patterns for AI Work
(23:10) Agile Practices and Anti-Patterns: What Works and What Doesn’t
(38:13) Closing Remarks and How to Connect with Clemens
Notable Quotes
“The proof of concept is where AI projects often go to die. You need to design for internal market validation early on.” — Clemens Adolphs
“Agile is not a one-size-fits-all recipe—especially when you’re dealing with the inherent uncertainty of AI.” — Yuval Yeret
“Metrics are useful, but if they’re not tied to actual adoption or impact, you’re just performing success, not achieving it.” — Clemens Adolphs
Guest’s Links and Resources
Yuval
Yuval Yeret helps leaders maximize outcomes through strategic, nuanced agility. These days, he’s focused on helping business leaders of mid-market/scaleup companies improve time to impact on strategic investments such as AI transformation. As a Product, Scaling, and Agility-focused management consultant, he’s worked with companies across tech, R&D, biotech - supporting both product/tech organizations as well as the broader business in delivering better outcomes using agility.
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