How to model the ROI of workflow automation

A simple quantitative model before you automate the wrong thing.

Automation should compete for investment like any other business project. That means estimating value before building and comparing the estimate with actual performance afterward.

A useful first-pass model

Then subtract software cost, integration cost, maintenance and the expected cost of exceptions. The model is deliberately simple: its job is to expose assumptions.

Add a quality factor

If a workflow saves time but creates more rework, the time estimate is misleading. Multiply by a quality factor between 0 and 1 until real measurements justify something better.

Track forecast → actual → variance

The most useful model is one that gets corrected. Compare expected adoption, time saved and error rate with reality, then decide whether to expand, repair or stop.