Use one representative example.
A working session, not an AI speech
Bring one expensive workflow.
We will find the useful part, keep the important judgment human, and leave with one experiment your team can run.
About 20 minutes per workflow
01 | Name the work
What keeps happening?
Describe the responsibility in plain language. AI vocabulary will only slow us down here.
02 | Count it honestly
Is the problem large enough to matter?
This is capacity involved in the current work, not a promise that every hour can be recovered.
ESTIMATED ANNUAL CAPACITY INVOLVED
125 hours
$6,250 in staff capacity
$6,250 combined value to investigate Uses 50 working weeks. Validate the inputs with the people doing the work.03 | Map the handoff
What goes in, what happens, what should come out?
04 | Keep judgment visible
Where must a person stay responsible?
05 | Choose the first route
Start where the evidence says yes.
SUPERVISED PILOT
A useful candidate, with review.
Begin with one safe example and keep the current owner responsible for the final result.
Compare the AI-assisted result with the current method.
Record corrections, time, and exceptions.
Expand only if quality and ownership hold up.
06 | Take the method with you
Your first working prompt.
07 | Run the smallest useful test