CFOInsurance
Your AI Business Cases Are Counting the Same Savings Twice
Nearly every AI use case promises time savings. When several target the same work, the totals stop adding up. Here is how to spot double counting and fix it.
Business case and value
Not one number. A range you can explain.
Every MetroMinds business case starts from your volume and baseline, applies benchmark ranges based on real-world implementations and corrects for scope, adoption and confidence.
The same logic for every use case.
Annual volumeHow often the work happens in a year.
Minutes per itemThe time one item takes today, from your baseline.
Benchmark reductionThe low, mid or high improvement seen in real-world implementations.
Hourly costWhat an hour of that work costs your organisation.
ScopeThe share of the work the use case actually covers.
AdoptionThe share of the work that is really done the new way.
ConfidenceHow sure you are of the assumptions, applied as a correction.
Because every business case follows the same structure, two proposals can finally be compared on their assumptions, not only on their totals.
Calculate the range for your own process.
Choose a type of work, enter your own numbers and see what the benchmark ranges mean for you. Your inputs stay in your browser unless you ask for the report.
See value across the portfolio.
Benefits from accepted use cases are added up with low and high estimates, and MetroMinds warns where two metrics count the same saved time. 13,500 of the 14,940 benchmark metrics in the Library carry an explicit double counting warning.
Walk through MetroMinds step by step.
Follow one use case from business need to funding decision.
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