An automation project may save three minutes per routine case and create ten minutes of work for each exception. A credible ROI estimate needs both sides of that equation.
A bot removes data entry from 8,000 routine records a month, but each unusual record now waits in a new review queue. The business case should include the queue's staffing and delay. If the straight-through share is lower than expected, narrow the scope or repair the source process.
Measure the current process
Count volume, handling time, error correction, waiting and rework. Sample actual cases instead of relying on one idealized process map. Ask staff which steps add value and which exist only because systems do not talk to one another.
Automation ROI should name the destination of released time. Will staff handle a backlog, improve response quality or move to a different task? If no plan exists, “hours saved” may never become a realized benefit. Involving the team that does the work also exposes hidden exceptions and helps design a future process people can actually use.
Model the future honestly
Estimate straight-through cases separately from exceptions. Include build, licensing, maintenance, monitoring, training and review time. Some released capacity will improve service rather than reduce cost; describe that benefit without pretending it is automatically cash savings.
Pilot and revise
Compare before and after on the same case mix. Track cycle time, quality, customer effect and staff effort. If exceptions are higher than expected, improve the process or narrow the scope. ROI is a living operating measure, not a number written once for approval.
