Estimate the business value of your first production AI agent.
Turn a repeated workflow into a rough ROI model for a 4–8 week production build, including manual effort, review-adjusted capacity, complexity, and payback.
Free tool
Browser only
Launch brief
ROI readiness
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.
What the tool helps you decide.
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.
Good inputs for the calculator.
AI automation ROI planning
AI agent ROI estimation
Workflow automation business case
Financial services research automation
Healthcare operations automation planning
Keep planning with these pages.
AI Pilot Planner
Score readiness and risk before you scope the build.
AI Agent Development
Turn high-value workflows into reviewable agents.
Financial Services AI Agents
Model research and reporting workflows with source trails.
AI Agent Pilot Checklist
Check permissions, examples, logs, and acceptance criteria.
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.
Bring the result to a launch call.
Moonveil can turn the tool output into a 4–8 week delivery plan for a production-ready agent.