Deciding When an AI Pilot Is Ready to Scale
A fictional retailer’s pilot shows a 40.5 percent time saving. Corrected for case mix, audited for harmful errors, and priced per case, it supports a gated redesign, not company-wide use.
A fictional retailer’s pilot shows a 40.5 percent time saving. Corrected for case mix, audited for harmful errors, and priced per case, it supports a gated redesign, not company-wide use.
A usage dashboard says 78 percent adoption and 45 percent more changes. After baselines, comparison groups, and rework, the gain is a quarter of that. Here is how to measure AI productivity and decide on renewal.
AI coding tools make writing code cheaper but leave verification costs in place. A worked review-capacity example, rollout stages, skill risks, and delivery measures show how a leader can decide when to expand.
A fictional freight forwarder first requires a person to approve every AI action, then watches the queue break on a storm day. Match authority to consequence and reversibility, size approval capacity, and name who answers for each decision.
A fictional distributor’s AI proposal would have sped up the part of a credit process that was already fast. Analyzing tasks, decisions, and handoffs moved the investment elsewhere.