Business & Strategy · Total Cost of Workflow
AI ROI Reality Check
Compare claimed AI productivity gains with the review, correction, coordination, and learning costs that often disappear from the story.
ORIGINAL BY ZAIN HASEEB · 1.0.0 · DEVELOPED FROM STRAITEGY HUB AUDIENCE AND OPERATING FRAMEWORKS WITH AI-ASSISTED DRAFTING.
Copy-ready prompt
Evaluate the real value of this AI use case without assuming faster output equals better economics.
USE CASE: {{USE_CASE}}
BASELINE PROCESS: {{BASELINE}}
AI-ASSISTED PROCESS: {{AI_PROCESS}}
VOLUME AND FREQUENCY: {{VOLUME}}
LABOR, TOOL, AND ERROR COSTS: {{COSTS}}
QUALITY OR RISK REQUIREMENTS: {{QUALITY}}
Map total time and cost for setup, context preparation, generation, review, correction, coordination, failures, maintenance, and retraining. Compare quality, cycle time, capacity, risk, and learning effects against the baseline. Separate measured values from estimates.
Return a simple value equation, break-even point, best and worst plausible cases, and the assumption with the most leverage. Recommend scale, continue testing, redesign, or stop. Include a 30-day measurement plan with baseline, sample size, owner, and decision threshold. Do not manufacture a time-saved number from anecdotal impressions.