How to Calculate Automation ROI

There is no reliable average, so work it out for your own process. High-volume, repetitive tasks (invoice processing, data entry, email triage) tend to give the clearest return because the time saved on each item adds up quickly. Lower-volume but high-value tasks (compliance reporting, customer onboarding) return more through fewer errors and more consistent work than through time saved. The key variable is your current cost of the manual process: the more expensive the process being automated, the higher the ROI. The worked example on this page shows the calculation.

It depends on the setup cost, the monthly fee and the net monthly saving: payback in months is the setup cost divided by the net monthly saving. In the worked example on this page, where onboarding is included in the plan and the only setup cost is staff training time, it is about 1.2 months, so do the calculation with your own numbers before you commit. The payback calculation should include implementation costs (a one-time investment) and ongoing subscription and maintenance costs. After the payback period, the net saving continues each month for as long as the process stays the same.

Include four cost categories: (1) Implementation costs: process audit, workflow design, integration development, testing, and deployment. Some providers charge this as a one-time fee; on our plans onboarding is included, as listed on our pricing page. (2) Software subscription: the monthly platform cost ($1,999-$9,999/month depending on your plan). (3) Training costs: time for your team to learn the new system, typically 4-8 hours per user. (4) Ongoing maintenance: monthly optimisation, monitoring, and support. Do not forget to include the opportunity cost of staff time during implementation and the temporary efficiency dip during transition.

The most accurate method is time-motion study: observe and record how long each step of the manual process takes, including interruptions, context-switching, and error correction time. Businesses often underestimate their manual processing time because they measure the task itself without accounting for the overhead. A "10-minute" invoice entry takes longer once you include email retrieval, context switching, verification, and filing. Measure for a representative week, not just one instance. Include the time of every person involved, not just the primary processor.

Intangible benefits are real but harder to quantify. Include: (1) Error reduction: calculate the average cost of errors in your manual process (correction time, customer impact, compliance risk). (2) Employee satisfaction: staff freed from repetitive work can be more satisfied, which can reduce turnover costs. (3) Scalability: automation handles volume growth without proportional cost increases. (4) Speed: faster processing improves customer experience, reduces payment cycle times, and accelerates revenue recognition. (5) Compliance: consistent, auditable processes reduce regulatory risk. Assign conservative dollar values to each and include them as a separate line in your business case.

Australian labour costs are high, which strengthens the case for automating repetitive work. The national minimum wage is $26.44 an hour from 1 July 2026 (Fair Work Ombudsman, fairwork.gov.au/pay-and-wages/minimum-wages), but the actual cost of an employee is significantly higher: add 12% superannuation, workers compensation insurance (the premium depends on your industry and state), payroll tax (the rate and threshold vary by state), leave entitlements (annual, personal, long service), and overhead costs (office space, equipment, management time). When automation takes over part of an employee’s repetitive tasks, value that part at the full cost of employment, not the wage alone.

The five most common mistakes: (1) Underestimating the true cost of manual processes by measuring task time only, not total process cost including overhead. (2) Overestimating automation savings by assuming 100% automation of complex processes that will still require some human oversight. (3) Ignoring implementation and transition costs, which are real but one-time. (4) Not accounting for the learning curve. The first month of automation is less efficient than steady state. (5) Comparing automation cost to a single employee’s salary rather than the total cost of employment. The best business cases are conservative on savings and comprehensive on costs.