Most product roadmaps I see today look almost identical to ones from five years ago. A prioritised backlog, ranked features, a launch plan, a success metric. The framework is solid. The problem is the …
Codify Before You Automate: Why AI Projects Fail Before They Start
The pressure to deploy AI is real. Boards want to see it. Investors ask about it. Competitors appear to be doing it. So teams rush to find processes to automate, run a proof of concept, declare …
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The Brittleness Paradox: Why AI Governance Is Now a Product Problem
For more than twenty-five years, I have watched technology cycles move from the "magic" phase to the "utility" phase. I remember the early days at Nokia when we thought the mobile phone was just a …
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The Real Barrier Is not Technology — It is Mindset
We have AI deployed across Engineering, Product, Marketing, HR, Finance, and Educational Content at Wall Street English. The technology works. The results are real. And yet, the hardest part is not …
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The Great AI Sobriety Test: Is Your Product Team Ready for Zero-Cost Execution?
For decades, product management has been defined by the management of scarcity. There were always more ideas than engineering hours, more "desirability" questions than research budgets, and more …
Beyond Innovation Theatre: Why Most Corporate Labs Fail and How to Pivot to Real Value
The corporate innovation lab is often the most expensive theatre production in business. We’ve all seen the script: a "glossy" launch event, a handful of entrepreneurs-in-residence with cool sneakers, …