Free AI ROI Calculator

AI automation ROI calculator for workflow pilots.

Use this free calculator to turn a repeated workflow into a rough ROI model. It estimates manual effort, review-adjusted automation opportunity, pilot complexity, and the first build worth scoping.

Step 1Choose the workflow.
Integration complexity
Review control

ROI readiness

73
/ 100

Worth scoping tightly

Modeled against 47 manual hours per week and a 34% review-adjusted automation share.

Annual capacity

$78,842

830 hours modeled

Pilot band

$30k-$65k

Modeled payback: 7.2 months

Recommended first pilot

Start with a source-backed research packet builder with analyst review and saved citations.

Measure first

  • time per packet
  • citation acceptance
  • review edits

Guardrail

Keep investment, credit, and allocation decisions outside the automation. The system should prepare material for review.

This calculator is a planning estimate, not financial advice or a guaranteed outcome. Use it to decide whether a workflow is worth scoping.

Open planner

Estimate annual hours and capacity that a narrow AI automation pilot could reclaim.

Compare pilot complexity against a practical implementation budget band.

Create a first-pass ROI brief before asking a team or vendor to scope the build.

When to use it

Build a business case around one workflow.

Finance, healthcare, and operations leaders deciding whether an AI agent, RAG system, document workflow, or internal automation pilot has enough value to scope.

AI automation ROI planning
AI agent ROI estimation
Workflow automation business case
Financial services research automation
Healthcare operations automation planning

FAQ

Common questions.

Is the AI automation ROI calculator free?

Yes. The calculator runs in the browser and does not require an account. It is meant to help teams decide whether a workflow is worth scoping as an AI pilot.

Is the ROI estimate a guarantee?

No. The calculator is a planning estimate, not financial advice or a guaranteed outcome. The real result depends on data quality, reviewer workflow, integrations, adoption, and implementation scope.

What makes a workflow a good AI automation candidate?

Good candidates have repeatable inputs, measurable manual effort, clear review ownership, enough volume to matter, and a first release that can avoid high-risk autonomous actions.

Moonveil AI Inc.

Have a workflow with measurable manual effort?