Insights
Field notes on where AI actually fits.
Short, direct pieces on diagnosing the problem before choosing the tool, and what that looks like in real operations.
Where AI Fits
Why do AI investments fail even when the technology works?56% of CEOs report no revenue or cost gains from AI. The cause is not the technology. It is the sequence: picking a tool before diagnosing the problem.Who should actually own AI in your organization?The most consequential AI decision has nothing to do with technology: who you hand it to. The four ownership patterns, and the only one that works.How do you figure out where AI will actually pay off before spending money?Pitched a new AI tool every day? The 5 questions to ask before you sign anything, and why the assessment comes before the tool.
AI in Fleet Operations
What problem should AI actually solve in a fleet operation?Route planning ate 50% of an executive's hours. That was not the real problem. The real cost was the bandwidth it occupied, and that is where AI belongs.How should AI be layered onto a fleet operation without ripping out your tools?AI built correctly starts by observing how the operation actually works, builds a data foundation, connects the tools you already have, and earns the right to do more.