Manual workload
annual cases = monthly volume × 12
manual hours = cases × minutes × people ÷ 60
rework hours = manual hours × rework %
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Is this workflow worth automating with AI?
Estimate its annual manual effort, loaded labor cost, potential capacity release, implementation readiness, and human-control needs. Your inputs stay in this browser and are not sent to Measured Intuition.
Directional result
What the current assumptions imply
Annual manual hours
Loaded labor cost
Potential annual capacity release
AI suitability
Implementation readiness
Human control
This is not a savings guarantee. It estimates capacity that may become available. Real savings or revenue require observed workflow data, implementation cost, adoption, quality, and whether released capacity is actually redeployed.
Method
Every result comes from a visible formula.
Loaded cost
annual loaded cost = (manual hours + rework hours) × loaded hourly cost
Capacity range
addressable hours = total hours × addressable share
potential release = addressable hours × 50%–80%
The 50%–80% realization range prevents a common mistake: treating every addressable minute as recoverable. Suitability also considers volume, process stability, data readiness, system count, and judgment. Readiness considers data, stability, and ownership.
Interpret the result