A commodity tool sits on top of the work. AI rewrites the work. The decision belongs to the operator who owns the work, not to the buyer who owns the invoice.

Example: Picture two organizations adopting the same model. One routes the choice through procurement. The other routes it through engineering leadership. A year later, the first has a license; the second has a capability.

The right evaluation question is what the tool does to output, velocity, and the shape of the workflow. Commercial terms are the last filter, not the first.

Example: Two evaluations on the same shortlist. One scores price-per-seat and contract length. The other scores throughput change and rework reduction. They will not pick the same tool.

AI adoption rewards rapid swap-out and continuous learning. A multi-quarter procurement cycle locks the organization to a snapshot of last year's frontier and calls the lock a discipline.

Example: A team that learns its model is wrong on a Tuesday should be on a different model by Friday. An organization whose answer to that is a renewal cycle is paying to be late.

Every competitor can sign the same contract. None of them can copy the practice your organization builds around the contract. The moat is on the inside of the company, not on the invoice.

Example: Two firms license the same model on the same day. One year later, one has rewired its workflows around it; the other still has the seats sitting in a folder. The license was identical. The outcome is not.