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Calculator · Free
Project the financial return of an enterprise AI use case in minutes. Pick a use-case template, adjust the assumptions to your context, and see Year 1 ROI, 3-year net, payback period, and a risk-adjusted estimate.
Use case
Tier-1 ticket deflection with refusal patterns and human escalation. Typical deflection rates: 40–60% of tier-1 volume.
Tickets, documents, decisions, or transactions handled per year.
Fully-loaded labor / processing cost per task at status quo.
One-time build cost: engineering, integration, governance, eval harness.
Annual model API fees, ops, maintenance, retraining, and managed services.
Calculations update live
Projected ROI
Year 1 ROI
+120%
Net: $720K (assumes 6-mo ramp)
Benefit breakdown
Estimates assume a 6-month ramp in year 1. Risk-adjusted line applies a 25% haircut for execution risk. Real engagements vary; bring your numbers to a discovery call for a calibrated estimate.
How it works
We don’t gate the tool behind a form. Take the assessment; share your email at the end if you want a written report.
Customer service automation, document processing, decision support, or fraud / risk. Each template has default assumptions calibrated against patterns we've observed across real engagements — and against the State of Enterprise AI 2026 research.
Annual task volume, loaded cost per task, error baseline, implementation cost, and ongoing AI cost. Sliders update the projection in real time. Default values are sized to mid-market enterprise scope; adjust to your context.
Year 1 ROI assumes 6-month ramp; 3-year ROI assumes full annual run-rate from year 2. Payback period is calculated against full annual net benefit. Risk-adjusted line applies a 25% haircut for execution risk.
The calculator is a starting point, not a commitment. Bring your numbers to a discovery call where we'll calibrate against your actual workload, model the implementation explicitly, and share the engagement budget bracket honestly.
Common questions
Calibrated against patterns we've observed across enterprise AI engagements (200+ since 2023) and against the State of Enterprise AI 2026 research. Customer-service deflection 40–60%, document-processing auto-extraction 60–85%, fraud / risk error reduction 25–40%. The defaults aren't optimistic; they're at-or-near the median we've actually shipped.
Directional. Real engagements vary widely on data quality, integration complexity, organizational readiness, and use-case specificity. We've built this calculator to give a defensible starting point — not a budget commitment. Most engagements that ship come in within ±25% of this projection's range.
Most AI ROI calculators give a single optimistic number. We've seen too many post-launch retrospectives where the actual benefit landed at 60–80% of the original projection. The 25% haircut is approximately the median delta we've observed across launches; we surface it explicitly so the conversation with finance starts with a realistic range, not a single optimistic point.
Several real costs the calculator simplifies: change management and training, organizational productivity ramp during rollout, opportunity cost of internal team time, and second-order benefits (data substrate that future use cases inherit, AI capability building). All of these typically improve the ROI; we leave them out of the headline number to keep the projection conservative.
Year 1, often yes. Year 1 typically carries the full implementation cost against a 6-month ramp; the headline Year 1 ROI is regularly negative for healthy multi-year engagements. The 3-year ROI is the more honest decision-maker — Year 1 ROI is mostly a cash-flow question.
As a starting point, yes — with the assumption disclosure intact. We'd recommend bringing the projection to a discovery call before it gets cited as the board number; we'll calibrate against your specific data substrate, integration surface, and regulatory frame, and share the engagement budget bracket honestly.
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