Perspectives on process, AI, and decision-making from the work, not the conference circuit.
Process efficiency projects almost always stop at the process. They redesign how work flows and ignore why people do the work the way they do. A well-designed process running on top of badly designed incentives produces worse outcomes faster.
Read →84% of failed AI projects trace back to leadership decisions made before a single model was trained. The fix is a better starting point, not a better model.
Read →Most management dashboards fail one test: name a decision made in the last twelve months because of how a number moved. The failure mode is not bad data or poor visualization. The charts work. They just produce no decisions.
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