Estimate the business case for proving AI readiness before rollout.
This calculator is a planning model, not a customer benchmark. It helps teams estimate the value of moving employees from casual AI usage to role-ready, policy-aware, manager-visible AI workflows.
Readiness lift
Baseline to exit assessment.
Risk reduction
Less rework from unsafe AI use.
Expansion proof
Manager reports for the next team.
Planning estimate
Adjust assumptions and use the output as a pilot planning artifact.
336%
first-year ROI estimate
2.8
months to payback
Annual value modeled
$233,116
Based on readiness-protected workflow hours, avoided rework, and manager review time.
Start with a role
AIducation for Support
Practice customer conversations, verification, refund judgment, escalation, and policy-safe AI replies before agents use AI in live queues.
What the ROI case should include
Assumptions
Model readiness value.
Output
What the estimate says.
The value model is intentionally explicit: change the assumptions before using it in a buying case.
Readiness lift
40 pts
Target minus current readiness.
Newly ready learners
10
Estimated employees moved into ready range.
Protected workflow hours
4,160
Annual AI-relevant work covered by readiness lift.
Avoided rework hours
240
Annual hours modeled from reduced unsafe or low-quality AI use.
Manager hours recovered
83
Review and coaching time shifted into targeted intervention.
First-year investment
$53,500
Pilot plus annual platform cost.
Net first-year value
$179,616
Annual modeled value minus investment.
Payback period
2.8 mo
Simple payback using modeled annual value.
How to read this estimate.
This is not a promise that AI creates automatic savings. It is a way to decide whether a readiness pilot is worth running, what evidence must be collected, and which team should expand next.
Define the first role, rubric, and manager report.
We can help convert these assumptions into a support pilot or multi-role readiness plan with measurable evidence.