AI review & enablement
From scattered AI experiments to one usable workflow.
How a small operations team could introduce an AI-assisted action list with clear ownership and review.
- Meeting notes
- AI draft
- Owner checks
Proposed approach for this illustrative scenario.
A hypothetical operations team is trying several AI tools, but has no shared process for using or checking the output. Meeting follow-up is a recurring task with a clear owner, making it a possible place to start.
The starting point
People are experimenting individually. Instructions vary, useful examples are not shared and the team has not agreed what information can be used. The immediate need is to make one task repeatable and reviewable.
How we would approach it
Review current use and agree the boundary: draft an action list from approved meeting notes, for the meeting owner to check. Confirm feasibility in an existing tool, then configure and test the workflow against representative examples.
Include incomplete notes, unclear ownership and conflicting dates in the checks. The workflow should surface uncertainty for the reviewer rather than quietly turn a guess into an action.
- A baseline for the current task and its review effort
- An agreed workflow, sample material and checking guidance
- A team handover and a 30-day adoption plan
What we would measure
Compare the whole task before and after the trial, including preparation, checking and correction. Track missed actions, inaccurate owners or dates, and whether the team continues using the process. No saving or quality improvement is assumed in advance.
How support could continue
Review the trial with the team, adjust the guidance and coach new users. Further workflows and ongoing adoption support would have their own agreed scope and fee.