New Article: From AI Potential to Product Outcome
AI capabilities are advancing faster than operating models are adapting. A common reason: organizations treat AI adoption and their operating model as two separate topics, often with separate responsibilities. But they are inseparable. AI accelerates execution – yet without adapting structures, funding, and ways of working, the results fall far short of what AI could deliver. Organizations that don’t connect the two will be left behind by those that do.
I wanted to write an article that makes this challenge accessible and provides an overview of the current thinking and guidance available. Mik Kersten’s Output to Outcome and AI-Native SAFe both offer concrete models for connecting the two. Value Stream Thinking provides the insights needed to make the right decisions in organizational design and ways of working – for a specific organizational context.
The article brings these perspectives together and explores what they mean in practice – including the often overlooked question of what AI-driven change means for human judgment and capability.
Read the full article: From AI Potential to Product Outcomes
