Learning Lab Course
Review prototypeAI ROI and Business Case Course Overview
A self-paced course for building a credible, baseline-grounded AI automation business case that leaders can review and measure after launch.
Start course 0 of 9 modules complete
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0%Module 1
Why Business Cases Fail Before They Start
Recognize the gaps that weaken an AI automation case before approval.
Open module Module 2Establishing Baseline Metrics
Measure the current process before projecting automation value.
Open module Module 3The Four ROI Categories
Evaluate time, cost, revenue, and risk value together.
Open module Module 4Implementation Cost and Net ROI
Calculate net return instead of presenting gross benefit alone.
Open module Module 5Structuring Your Business Case
Tailor the same evidence to the questions each reviewer will ask.
Open module Module 6Disclosing Risk and Uncertainty Honestly
Make projections more credible by stating their uncertainty.
Open module Module 7Defining the Post-Launch Measurement Plan
Design how projected value will be tested after deployment.
Open module Module 8Reporting and Underperformance as Data
Use operating results to improve the investment instead of hiding variance.
Open module Module 9The AI ROI Business Case Brief
Combine the analysis into a decision-ready business case.
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