Service Requests
/ month
Number of service requests handled in an average month. Used as volume × 12 × automation potential × handling time.minutes
Converts automatable service-request volume into operational capacity hours.Quick estimate: ~2 minutesDetailed business case: ~5–7 minutesDon’t know every number? Start with our benchmark assumptions and change only what you know.
1 · Your workload
Quick Automation Opportunity Estimate
Estimate the opportunity across ticketed and non-ticketed IT work. No implementation-cost or payback assumptions are used.
Incidents
/ month
Number of incidents handled in an average month. Used as volume × 12 × automation potential × handling time.minutes
Converts automatable incident volume into operational capacity hours.Ops Automation
Health checks, reporting, backup checks, infrastructure actions and scheduled administration outside traditional tickets.
/ month
Repeatable operational activities performed each month. Used as volume × 12 × automation potential × effort.minutes
Converts automatable operational activities into operational capacity hours.2 · Planning assumptions
Editable starting points for opportunity estimation—not guarantees of automation feasibility.
%
Annual workload × automation potential.USD / hour
Capacity hours × loaded employee or service-provider cost.3 · Your automation opportunity
Your Automation Opportunity
Estimated annual operational capacity value
—This is the estimated value of operational capacity that may be released through automation. It is not a guaranteed cash saving.—Potential workload automated annually
—Operational hours potentially released / year
—FTE-equivalent capacity for higher-value work
—Annual operational capacity value
Where is your largest opportunity?
Largest estimated opportunity based on the information provided. This compares economic opportunity; it does not claim that every item is technically feasible.
1 · Refine the operational opportunity
Monthly volume and average effort are carried forward from Quick Estimate. Refine automation potential separately where you know more.
| Category | Monthly volume ? | Average handling / effort time ? | Automation potential ? |
|---|
Select at least one category to begin.
2 · Make the opportunity realistic
Adjust realization, rollout and human-review requirements. These refine the opportunity carried forward from Quick Estimate.
Business value assumptions
Used only to format labor and investment values.
USD / hour
Carried from Quick Estimate. Realized released hours × this rate gives operational capacity value.Realization assumptions
%
Percentage of the identified automation opportunity expected to become realized operational capacity. Used as identified opportunity × realization %.Used to phase Year-1 benefit instead of assuming the entire annual benefit exists from day one.
%
Percentage of automated work still expected to require human effort for review, approval or exception handling. Used as released capacity × (1 − exception %).USD
Total implementation cost for the initiative being evaluated.USD / year
Annual recurring cost of operation, support and licensing.3 · Service Improvement Scenario
Optional. Use current service baselines and scenario assumptions to model how service performance could change. These are scenario outputs, not guaranteed automation outcomes.
Service performance
hours
%
%
%
Operational quality
%
%
Future demand
%
1 · Realized automation opportunity
Realized automation opportunity
2 · Core opportunity metrics
—Realized annual hours released after realization and human-review requirement
—Realized annual operational capacity value
—FTE-equivalent capacityEquivalent operational capacity; not a headcount reduction.
3 · Where the value sits
4 · From gross to realized capacity
Using planning assumptions
Illustrative cost assumption: $24K annual platform and $24K annual support. Adjust to match your commercial model.
5 · What drives this result
6 · Service Improvement Scenario
7 · Investment Economics
—Year-one net position, after build and run cost
—Payback period
—Three-year cumulative net
—Three-year ROI
| Case | Year-one net position | Three-year net value | Payback | ROI | Realized hours |
|---|
The cases vary realization, implementation cost and exception requirements using model drivers—not an arbitrary result band.
What this model does not include
- Change management, training and the adoption effort needed for people to use the automation.
- Integration or remediation work in the systems being automated, where APIs or data are not ready.
- Contractual constraints — outsourced towers where released capacity does not convert to cost.
- Risk cost: the incidents an automation can cause, and the controls needed to prevent them.
- Any benefit beyond released handling time, such as faster resolution or reduced error rate.
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