What should a team do after an AI workflow saves time?
Pick a destination for the time an AI workflow saves before you count it as a benefit. It might go to a regular coaching conversation or to a more careful customer analysis. Faster isn't the same as better.
The Power Shift panel ended with different accounts of what leaders did with the capacity AI created. Some described more attention to junior colleagues, and another challenged whether extra time appeared at all. Those differences are a reminder to look at what happens after a task gets faster.
Name the work that will change. If a weekly report takes less preparation, decide whether the team will cut the effort, improve the analysis or use the time elsewhere. Don't expect all three without saying so.
The whole workload counts
New review tasks, additional output requests or more frequent deadlines may eat the time you expected to recover.
After a defined trial, look at what people did differently. See whether the coaching happened and whether the analysis improved a decision. Then see whether the workload became more manageable.
If the benefit didn't appear, keep an honest record. A faster component is still a finding, and it's a different thing from a better working week. Let the next decision follow the result you can show.