01
Team identifies leverage
Engineering or operations finds a tool that could materially change throughput, cycle time, or workflow quality.
Slide 01
AI changes the work itself. It changes staffing mix, operating speed, decision quality, and what the organization can ship. That makes it an operating decision before it becomes a buying decision.
Slide 02
Engineering or operations finds a tool that could materially change throughput, cycle time, or workflow quality.
Procurement and finance narrow the field on cost, vendor size, contract structure, and renewal comfort.
The people who understand the work are invited to comment after the real decision is mostly made.
Capability gets screened out before it is understood. A tool that looks disciplined on a spreadsheet can still be the expensive choice if it misses the actual workflow.
The market will not wait for a buying process built for printers.
Timing pressure
Slide 03
Per user, per month. It looks disciplined in a budget review.
The wrong tool can show up as slower engineering output, weaker operations leverage, and deferred process change.
The company saves on licenses and loses on throughput.
Open source is not automatically the cheaper option. Compute, integration time, maintenance, and support can exceed the price of a commercial API with better operating fit.
Are we measuring AI spend, or are we measuring capability gained per dollar?
Slide 04
It gets evaluated against today's budget baseline and yesterday's buying habits.
Models improve, prices move, and workflows change faster than the contract process can absorb.
You are still living inside an obsolete evaluation while someone else is already stacking evidence.
A two-year lock-in on the wrong capability is not prudence. It is delayed recognition of a bad decision.
Board implication
Slide 05
Engineering, operations, and functional owners validate tools against live workflows and real data.
Output change, implementation cost, timing, risk, and dependencies are made explicit.
Finance evaluates economics. Security sets guardrails. Legal reviews terms. Procurement structures the deal.
Domain truth comes first. AI capability gets judged against work, not generic feature grids.
Finance still owns budgets. Security still owns boundaries. Procurement still owns contracts.
Slide 06
Name executive owners by function. Require workflow-based testing before commercial selection. Force every proposal to show capability, economics, security conditions, and timing.
A CFO who understands AI is an asset. A CFO forced to choose AI capabilities without domain evidence is an expensive governance failure.
Closing line