Free Tool
How Much Could AI Save Your Business?
Pick your industry, plug in your team's numbers, and see the annual labour cost AI could reclaim from repetitive work. No signup, instant results.
Every business runs on repetitive work — data entry, follow-ups, scheduling, report generation, status updates, intake forms. It rarely shows up as a line item, but it quietly eats a large share of your team's week. This estimator puts a number on it: how much of that time (and cost) an AI agent workforce could realistically give back.
It's built for owners and operators who want a defensible number, not a hype figure. Each industry preset is anchored to measured productivity gains from deployed AI (not pilots or projections), and every constant behind the math is cited in the assumptions section. Change any input to match your own reality and the result updates live.
Your Team
Picking an industry sets defensible starting numbers. Adjust anything to match your reality.
Estimated annual savings
$27k
in reclaimed labour by automating repetitive work with AI
16
Hours reclaimed/week
0.4 FTE
Full-time equivalent
$2k
Saved/month
$81k
3-year value
That's roughly 842 hours a year your team gets back — about 0.4 full-time roles worth of capacity redirected from busywork to work that actually grows the business.
How we calculate this (and where the numbers come from)▾
The formula
annual savings = team size × automatable hours/week × automation potential × 52 weeks × hourly cost
Automation potential defaults (per industry)
The automation-potential default for each industry is anchored to measured productivity gains from deployed AI, not pilots or projections:
- Customer Service & Support — 15%Stanford HAI measured a 14-15% productivity improvement in customer support from deployed AI. Stanford HAI 2026 AI Index
- Software & IT — 26%Stanford HAI measured a 26% productivity gain in software development from deployed AI. Stanford HAI 2026 AI Index
- Marketing & Content — 40%Stanford HAI reported a 73% increase in marketing output from deployed AI; we use a conservative 40% for time reclaimed since output gains outpace pure time savings. Stanford HAI 2026 AI Index
- Healthcare Front Office — 25%Assort Health reports a 115% increase in labor capacity for its healthcare customers using voice AI; we use a conservative 25%. Assort Health (PR Newswire)
- Finance & Back Office — 20%Conservative 20% blended estimate based on the 14-26% productivity range Stanford HAI observed across deployed-AI functions. Stanford HAI 2026 AI Index
- Professional Services — 20%Conservative 20% blended estimate based on the 14-26% productivity range Stanford HAI observed across deployed-AI functions. Stanford HAI 2026 AI Index
- General Operations & Admin — 20%Conservative 20% blended estimate based on the 14-26% productivity range Stanford HAI observed across deployed-AI functions. Stanford HAI 2026 AI Index
Other assumptions
- Full-time equivalent uses a 2,080-hour work year (40h × 52 weeks). It expresses reclaimed capacity, not a headcount-reduction target.
- Team size, hourly cost, and automatable hours are illustrative starting points per industry — adjust them to your actuals for a real estimate.
- Savings are gross labour value reclaimed and don't subtract the cost of the AI deployment itself. Gartner projects conversational AI alone will cut contact-centre labour costs by $80B globally in 2026.
See the full sourced dataset on our AI agents statistics page.
How to read your result
The headline figure is the annual labour value tied up in work that AI could take over — the size of the opportunity, before you subtract the cost of running the AI itself. The full-time-equivalent number tells you how much capacity that represents: it's the busywork your team is doing instead of the work that actually grows revenue. Most businesses that deploy their first agent redirect that reclaimed time rather than cut headcount.
The fastest way to turn this estimate into reality is to start with one high-volume, rule-based task, prove the savings, then expand. That's the same pattern behind the hidden cost of not automating and the shift toward scaling without headcount. If you'd rather see the full picture first, the AI agents hub and our AI agents statistics page collect the verified data behind every number in this tool.
When you're ready to put a real plan against your number, Omni Ops designs, builds, and runs the agent workforce for you — no in-house AI team required.
Frequently asked questions
How does the AI cost savings estimator work?
It multiplies your team size, the hours each person spends on automatable tasks, and an industry-specific automation potential to estimate the labour value AI could reclaim each year. Every default is anchored to measured productivity gains from deployed AI, and you can adjust any input to match your own numbers.
Where do the automation potential numbers come from?
They are anchored to the Stanford HAI 2026 AI Index, which measured real productivity gains from deployed AI: 14-15% in customer support, 26% in software development, and a 73% increase in marketing output. Functions without a published figure use a conservative 20% blended estimate. Sources are cited in the "How we calculate this" section on the tool.
Does the estimate account for the cost of the AI itself?
No. The headline number is gross labour value reclaimed, before subtracting the cost of deploying and running the AI. Treat it as the size of the opportunity, not net profit. Gartner projects conversational AI alone will cut contact-centre labour costs by $80 billion globally in 2026.
Is this a headcount-reduction calculator?
No. The full-time-equivalent figure expresses how much capacity gets freed from repetitive work, not a target for cutting jobs. Most businesses redirect that reclaimed time toward higher-value work rather than reducing their team.
Is the tool free and do I need to sign up?
It is completely free and runs entirely in your browser. There is no signup, no data is sent anywhere, and nothing is stored.