Why AI adoption breaks when the operating model does
AI adoption rarely fails because people lack access to tools. It fails when the work around the tools is unclear.
Short, argued notes on where AI adoption actually breaks, how decisions should be prepared and made, and why capacity realism is an executive concern. New notes are added as they clear the practice’s own bar.
AI adoption rarely fails because people lack access to tools. It fails when the work around the tools is unclear.