Free tool / 01
What is AI adoption actually worth to your organization?
A first-year estimate built from published adoption benchmarks across 19industries and 115 role profiles. Every assumption is on the table. Honest about what saved time does and doesn't convert into.
Sign in to start
Save scenarios, export a branded PDF or CSV.
New here? Create a free account
What gets counted
Five value streams. Only two are monetized.
When AI saves time, that time flows into all five streams. Traditional ROI counts only the first. We show all five and monetize the two most defensible.
The model also penalizes what the research says quietly kills AI value: poor data quality, low readiness, weak adoption. Failure modes documented by Harvard, Gartner, MIT, and others.
Direct productivity
Saved hours that convert to measurable output.
Counted · 50% realization
Quality improvement
Fewer errors, better first drafts, less rework.
Counted · 10% realization
Creative & strategic
Higher-order work enabled by reclaimed time.
Shown, not counted
Learning & capability
People build skills and teach each other.
Shown, not counted
Wellbeing & retention
Less overload. Never monetized in this model.
Shown, not counted
Describe your workforce
Pick your industry, then headcounts per role. Every wage is editable. Your numbers, not ours.
Benchmarks apply
Time-saved benchmarks for each role. An adoption benchmark from your industry's top performers. A phased-deployment ceiling based on your size.
Value streams split
Saved time splits across five streams. Only direct productivity and quality are monetized into the headline ROI.
Compare & export
Three investment tiers, saved scenarios, and a branded PDF or CSV export.
Model roicalc-2026-06-30, verified 2026-07-02. Priors are modeled research assumptions built from analysis across 115,000+ published use-case deployments: university research from Harvard, MIT, and Stanford, consulting studies from BCG and McKinsey, US, Canadian, and EU government productivity and occupation reports, vendor research, and NGO studies. Estimates are directional, not guarantees.