Alec Elmore

Most technology projects fail long before execution starts. I focus on the decisions and assumptions that quietly set them up to break - and increasingly, on how AI and technology can help experienced operators make better decisions and change how work gets done. After more than 30 years working on large technology and transformation initiatives, I’ve seen the same pattern repeat: projects fail even when teams are capable, funding is available, and the technology is sound. The breakdown almost always happens earlier - in the decisions that set the project in motion. Under urgency and conviction, assumptions go unspoken, tradeoffs stay unresolved, and the right voices grow quiet. By the time execution begins, delivery is forced to compensate for what was never made explicit. Resistance, delays, and disappointment look like execution problems, but they’re usually decision problems upstream. My work sits at the intersection of operators, technology, and execution. I help leaders frame the right problem before committing to the solution, surface what must be true for the work to succeed, and translate technology into measurable operating outcomes. AI makes that intersection increasingly important. Experienced operators no longer need to simply consume what technical teams build. With enough technical fluency, they can frame the problem, provide the business context, direct the build, and hold the technology accountable to the result. Increasingly, my work is focused on helping experienced operators use technology and AI to extend their judgment, improve execution, and create capabilities that were previously difficult or impractical to build.