Decide what saved time is for before rollout
AI time savings only become value when the use of freed capacity is agreed upfront and hidden costs are counted.
Capacity becomes value only when someone decides how to use it and counts what got harder.
A pilot reports time savings. The next question is simple: what happened to that time? If nobody can answer, the business case isn’t finished.
Freed capacity can go to better service, deeper analysis, learning or more volume. It can also disappear into fragmented calendars and more messages. Agree the intended use with the business owner before rollout. The tool won’t make the organizational change for you. A six-month experiment across 66 firms found time savings among users of an integrated AI tool, but no detected shift in the quantity or mix of their tasks from individual access.
Count the costs as honestly as the gains. A pilot can produce answers faster and create more review work for specialists. If that effort sits in another budget it’s easy to miss, but the business still pays for it. Put both on one page: knowledge maintenance, exceptions, employee experience and incidents next to speed.
Where I’d start: pick one activity the team wants more of, or one backlog to reduce, and track whether it happens. Before the pilot, agree a baseline and success criteria. Include license, integration, training, review and support costs, and decide what evidence would justify continuing, rescoping or stopping.
The test: time released, output increased and budget reduced are different outcomes. Minutes saved multiplied by salary isn’t a cash saving. Keep the criteria stable when results disappoint. A small pilot can teach a lot before it proves a financial return.
Sources: Dillon et al. · Shifting Work Patterns with Generative AI; GOV.UK · Define success and publish performance data
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