Manual workload
annual cases = monthly volume × 12
manual hours = cases × total team minutes ÷ 60
rework hours = cases × rework % × extra rework minutes ÷ 60
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.
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.
annual cases = monthly volume × 12
manual hours = cases × total team minutes ÷ 60
rework hours = cases × rework % × extra rework minutes ÷ 60
annual loaded cost = (manual hours + rework hours) × loaded hourly cost
addressable hours = total hours × addressable share
low release = addressable hours × low recovery %
high release = addressable hours × high recovery %
The default 50% and 80% recovery assumptions are starting scenarios. Replace them with what you observe after review, exceptions and adoption. Count that effort once: either reduce the recovery assumption or deduct it separately in a detailed business case. Capacity is time available for other work, not cash savings or net ROI. Implementation and running costs are not deducted here; use the AI operating-cost guide and ROI baseline guide to build the full case. Suitability and readiness labels use rule-of-thumb weights, not a validated success model. Human approval still applies to high-consequence decisions regardless of the label.
One person spends 8 minutes and another spends 10 minutes: enter 18 total team minutes, not 18 minutes times two people. If 10% of cases need another 5 team minutes, enter 10% and 5 in the rework fields. Establish the baseline.