When this workflow is a good AI candidate
The workflow becomes attractive when it happens often, the required inputs already exist digitally, the desired output is clear, and a mistake can be caught before an irreversible action.
Signal 01Repeated oftenEnough weekly volume to create meaningful leverage.
Signal 02Evidence availableThe model can work from approved source information.
Signal 03Exceptions separableUncertain cases can be routed to a person.
Current workflow
BEFOREMANUAL BASELINE
01Meeting endsCurrent
02Review notesCurrent
03Write summaryCurrent
04Create tasksCurrent
05Send follow-upCurrent
A controlled AI-assisted workflow
AFTERPROPOSED BOUNDARY
01Meeting endsControlled
02AI drafts summaryAI-assisted
03AI extracts actionsAI-assisted
04Approved systems updatedControlled
05Human approves messageControlled
The goal is a reliable handoff: AI prepares or classifies the repeatable middle, while controls govern what is written, sent, approved or escalated.
Controls to design before launch
- Use a reliable transcript or note source.
- Distinguish decisions from suggestions and unresolved items.
- Require approval before sending external commitments.
- Do not assign owners or deadlines that were not actually agreed.
How to measure whether it worked
- Minutes of follow-up per meeting
- Action capture rate
- Corrections before sending
- Time to task creation
- Follow-up send time
Replace estimates with observed results.
Measure at least one quality metric alongside time saved. Faster bad work is not an improvement.