Enterprise AI - you can buy the model; you can’t buy the trust.
Better intent hasn't produced more adoption - that's the uncomfortable finding from inside enterprise AI rollouts right now, and it's the opposite of what most leaders expect.
Intent engineering shifts the focus from features to outcomes: users describe the outcome they want in natural language - e.g. I need to install a water filtering system in my kitchen tap. I am not very handy, need tools, parts, instructions with a budget of $300 - and the system translates the intent into actions.
The reason why is that the chain from intent to adoption is only as strong as its most human link. AI creates value only when people trust it enough to change how they work. Technology is rarely the problem. The last mile is human and it has to be led, not installed. Projects stall not because the tools failed, but because the transformation was run as a technology...
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