ROI theater: how to tell a demo metric from an operating metric
How executives can separate persuasive pilot numbers from metrics that survive real operations, queues, and budget decisions.
How executives can separate persuasive pilot numbers from metrics that survive real operations, queues, and budget decisions.
The questions to settle before an AI pilot starts: ownership, data terms, evaluation, support, pricing at scale, and exit mechanics.
A guest post from the FairGap team on the questions a board should be asking about algorithmic bias audits, written for the executives Stator AI typically briefs.
The three questions about AI model risk that boards should be asking management about every quarter, with what good answers look like and what unacceptable answers sound like.
What boards and senior operators actually need to understand about AI in 2026, separated from the consumer-facing hype and the deep technical detail neither group needs.