7 min read · 2026-10-09
How do I calculate automation ROI?
Direct answer
Estimate how often the process happens, how long one occurrence takes, how many people are involved, and what a delay or error costs. Convert that into hours and money recovered, then compare it with implementation effort, risk, and payback time. A useful first automation pays for itself because it removes frequent manual work — not because it uses impressive technology.
Start with the process, not the software price
ROI is not “what does this AI tool cost per month?” It is whether a specific process returns more time, revenue, or reliability than it costs to implement and maintain.
The inputs are operational: how often it happens, how long it takes, who does it, and what breaks when it is late or wrong.
A practical calculation
Weekly hours recovered ≈ frequency × minutes per occurrence × people involved, converted to hours. Annual value ≈ weekly hours × working weeks × a realistic loaded hourly cost. Then subtract the cost of building, reviewing, and maintaining the automation.
If a process happens 20 times a week, takes 20 minutes, and involves two people, you are looking at more than 13 hours a week before counting errors, waiting, and missed follow-up.
- ✓Include waiting time and rework, not only typing time
- ✓Include lost leads or late invoices if those are real consequences
- ✓Do not assume 100% of the process can be automated
- ✓Keep a human review step in the cost if the risk requires it
Payback matters more than sophistication
A simple connection between email, CRM, and a notification often beats a large AI project because it starts returning hours immediately. DAO Solutions uses this arithmetic before recommending an implementation: if the value is unclear, the first project is the wrong project.
See this applied to your processes.
The Automation Quick-Win Audit produces a scored map: what to automate first, where AI helps, and what we would leave alone.