Insights / AI & Automation
Automation ROI Worksheet: Costs, Capacity and Payback
An automation ROI worksheet should make assumptions visible before a project is approved. It needs to include implementation costs, recurring fees, human review and the proportion of work that will actually use the new workflow. Most importantly, it should distinguish time released for other work from money that genuinely leaves the cost base.
Use the fill-in fields below to create a business case for one workflow. The worked figures are hypothetical and expressed in illustrative currency units, not Zendral client results or expected returns. For the underlying principles, read how to calculate workflow automation ROI.
Establish a baseline you can check
Choose a representative period and count completed cases, exceptions and rework. Measure active staff time separately from waiting time. A shorter queue may improve service without reducing the minutes someone spends on each case; those are different benefits and should be recorded separately.
Process evidence helps avoid relying entirely on recollection. Microsoft’s overview of process and task mining describes using workflow data to identify inefficiencies and automation opportunities. A spreadsheet and sampled observations can also support an initial baseline when structured system data is limited.
Copy the automation ROI worksheet inputs
- Measurement period: [months included in the business case].
- Monthly case volume: [eligible cases before adoption and coverage adjustments].
- Minutes per case today: [active processing, review and rework].
- Minutes per automated case: [remaining processing, review and correction].
- Adoption: [share of eligible work expected to enter the new workflow].
- Automation coverage: [share of adopted cases that can use the improved path].
- Hourly staff cost: [consistent estimate and what it includes].
- Capacity realization: [share of released time that can realistically be redeployed].
- Implementation delay: [months before benefits begin].
- Cash savings: [specific expenses avoided, with evidence and timing].
Define adoption and coverage carefully. Adoption measures whether the team uses the workflow; coverage measures whether an adopted case is suitable for the automated path. If your recorded case volume already excludes exceptions or non-adopted work, do not apply the same reduction twice.
Include the full cost of operation
Record setup and integration, testing, internal implementation effort, software subscriptions, usage charges, support, training and expected maintenance. Include human review in the post-automation time estimate or as a separate cost, but not both. Add a contingency assumption where uncertainty is material and explain it.
For annual subscriptions that begin before launch, count the full expense in the period even when the workflow produces benefits for only part of the year. Avoid comparing twelve months of benefits with a shorter cost period.
Calculate released capacity
Released hours per month = case volume × adoption × coverage × net minutes saved ÷ 60.
Modeled capacity value = released hours × hourly staff cost × capacity realization.
Imagine a routing workflow with 2,000 eligible cases per month. Current active handling takes six minutes; the improved path takes two minutes, including review. Adoption is 75% and coverage is 80%. Released capacity is 2,000 × 0.75 × 0.80 × 4 ÷ 60 = 80 hours per month.
At an illustrative hourly cost of 35, the gross capacity value is 2,800. Applying a 70% realization assumption gives 1,960 per month of modeled usable capacity value. This is not automatically a payroll saving. Record which work will absorb those hours and who will check that the redeployment happens.
Worked first-year ROI and payback
Suppose implementation takes two months, leaving ten benefit-producing months in a twelve-month evaluation period. Setup costs 9,000; software costs 350 per month and support costs 250 per month throughout the year. Assume setup includes internal implementation effort and no additional benefits or costs for this simplified example.
- First-year modeled benefit: 1,960 × 10 = 19,600.
- First-year cost: 9,000 + (350 + 250) × 12 = 16,200.
- Net modeled value: 19,600 − 16,200 = 3,400.
- Capacity-value ROI: 3,400 ÷ 16,200 × 100 = approximately 21%.
For simplified payback, assume setup is paid at the start. By launch, setup plus two months of recurring costs total 10,200. After launch, net modeled value is 1,960 − 600 = 1,360 per month. Recovering 10,200 takes about 7.5 operating months, or 9.5 months from project start. This calculation excludes discounting and assumes steady volumes and benefits.
Call this capacity-value payback, not cash payback. If no expense is avoided, the capacity estimate cannot substantiate a cash-saving claim. Calculate a separate cash ROI using documented avoided spending and attributable cash benefits; do not add capacity value again when it represents the same benefit.
Test a downside case before committing
Reduce monthly volume to 1,500 and adoption to 60%, keeping the other assumptions unchanged. Released capacity falls to 48 hours per month. Modeled usable value becomes 48 × 35 × 0.70 = 1,176 per month. Ten months produce 11,760 against costs of 16,200, giving a modeled ROI of approximately −27.4%.
The contrast shows why adoption and volume deserve pilot evidence. Create a base, downside and upside scenario, then identify which uncertain input changes the decision most. Do not label the optimistic case a forecast without supporting evidence.
Turn the worksheet into a pilot decision
Assign an owner to each assumption and set a date to compare estimates with observed results. Track review effort, exceptions, tool usage and work actually redeployed. Proceed when the evidence supports your required outcome and operating costs; revise or stop when it does not.
Use the AI automation vendor scorecard to evaluate supplier evidence alongside this business case. Explore Zendral’s AI and automation services or contact the team to discuss a measurable first workflow.