Start with one workflow
Anchor the calculation to a repeated task instead of making a broad claim about AI transforming the entire business.
Estimate the value of time recovered from a defined workflow using the people affected, hours saved, loaded hourly cost and expected adoption. Keep capacity value separate from direct cash savings.
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Anchor the calculation to a repeated task instead of making a broad claim about AI transforming the entire business.
Apply a realistic usage rate so the result reflects implementation and behavior rather than theoretical maximum savings.
Use the model to discuss whether a focused pilot is worth testing before a wider rollout.
Estimate how many people complete the task and the average weekly time spent on it.
Apply a clearly defined loaded hourly cost and distinguish capacity from expenditure actually removed.
Reduce the theoretical benefit for adoption, exceptions, review time and ongoing operating cost.
Estimate time recovered and its value, adjust for adoption, then compare the benefit with implementation and ongoing cost. Use pilot data whenever it is available.
Not automatically. Time recovered may increase capacity or service quality without lowering expenditure. Label the value accurately.
Focus on one observable workflow, use conservative assumptions, include human review time and allow buyers to replace estimates with their own data.
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