AI ROI Calculator
Model AI return on investment using implementation cost, recurring spend, labor savings, and uplift assumptions.
This is the core AI ROI model for general business-case evaluation. It compares one-time and recurring cost against measurable annual benefit to estimate net impact, payback, and planning ROI.
Use this route when leadership needs one baseline economic view before deciding which specialized workstream to prioritize. It is intentionally broad and works best when value comes from a mix of labor efficiency and commercial uplift.
Annual net benefit
$78,000.00
Year-1 ROI
4%
Payback period
11.54 months
3-year NPV (8%)
$126,013.57
How This Model Works
Inputs include implementation spend, recurring monthly AI cost, labor hours saved, hourly labor value, and optional annual uplift.
Outputs prioritize annual net benefit, year-one ROI, payback period, and three-year NPV context.
Use this as the parent model, then move to specialized calculators when your value driver is narrowly defined.
Field Definitions
Use these definitions to set assumptions consistently before comparing results across teams.
One-time implementation cost
All up-front delivery cost needed to launch, including integration, workflow design, data preparation, and rollout support.
Recurring AI cost / month
Monthly run-rate cost for model usage, platform subscriptions, support tooling, and routine operations.
Hours saved / month
Conservative estimate of labor hours avoided each month once the solution is stable and adopted.
Blended hourly rate
Fully loaded labor rate for affected roles, including salary burden, overhead, and management allocation.
Annual revenue uplift
Incremental yearly gross profit or contribution margin expected from better conversion, retention, or throughput.
Frequently Asked Questions
+What is this calculator best for?
General AI investment screening when value comes from multiple sources rather than one narrow operational mechanism.
+Is this a guarantee of results?
No. It is a planning model based on assumptions; real outcomes depend on adoption quality and execution discipline.
+When should I use a specialized model instead?
Use a specialized model when cost or value is dominated by one mechanism such as chatbot deflection, token spend, or workflow automation.
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