AILOS← All decision modelers

Decision Architecture / 03

Will this AI investment actually pay back?

Year-1 net value, payback month, and a hard look at how much your answer depends on adoption — not just the tool.

About this tool

About the AI ROI Calculator

Most AI ROI calculators are vendor sales tools — they assume 100% adoption and ignore rollout cost. The AILOS AI ROI Calculator is built for leaders who have to defend the number to a CFO, a board, or a skeptical exec team. Enter your per-seat tool cost, the number of seats, rollout and training hours, your loaded labor rate, and the hours saved per person per week. Pick an adoption ramp — slow, medium, or fast — and the model returns year-1 net value, payback month, and a sensitivity view that shows how much your answer depends on adoption rather than the tool itself. It works for any AI tool: Copilot, ChatGPT Enterprise, Glean, Writer, Anthropic for Business, or an internal build. Outputs include a one-page defend-it brief you can paste into a board deck.

When to use it

  • Pricing an AI tool rollout for budget approval
  • Comparing two AI vendors on real expected return, not list price
  • Pressure-testing a vendor-supplied ROI claim before you sign
  • Building the financial case for an enterprise AI license
  • Quarterly review of an existing AI investment that hasn't compounded yet

Frequently asked

How is AI ROI actually calculated?+

Year-1 net value = (hours saved × loaded labor rate × adoption-adjusted seats × 52 weeks) − (tool cost + rollout effort + training effort), with a risk haircut applied to the value side. Payback month is the first month cumulative value exceeds cumulative cost.

Why does adoption ramp matter more than the tool?+

A tool that saves 5 hours/week per person delivers nothing in month 1 if only 10% of seats are active. The slow/medium/fast ramp curves model this directly — most AI rollouts under-deliver because of adoption, not capability.

Is this calculator free?+

Yes. The full calculator runs in your browser, no login, no email. Inputs auto-save locally so you can come back to them.

Can I use this for non-AI tool investments?+

The math works for any productivity tool, but the adoption-ramp curves are calibrated to AI tools specifically — where 'time to value' is dominated by behavior change, not feature learning.

Related tools

Your numbers

Adoption ramp12-mo curve

Auto-saved locally. Come back anytime.

Year-1 net value (realistic)

$169,860

This investment pays back around month 2 and nets about $169.9K in year one — if adoption actually lands.

Payback in 2 months · $169.9K year-1 net

Year-1 net value at 50% / 75% / 100% adoption

Pessimistic
$107,407
Realistic
$169,860
Optimistic
$232,314

Key numbers

Annual tool cost$9,000
Setup (rollout + training)$8,500
Payback period2.0 mo
Year-1 net @ 100% adoption$232,314
Year-1 net @ 50% adoption$107,407

What to do next

  1. 01

    Lock in one named owner for enablement before procurement signs.

    Owner · Sponsor
  2. 02

    Ship a prompt library and 2 worked examples per role before launch day.

    Owner · Owner
  3. 03

    Set a 90-day adoption gate — if usage is below 50% of seats, pause new seat buys.

    Owner · Owner

Save this scenario

Create a free account to name, save, and revisit this run from your dashboard.

Save it →

Plain-English read

Baseline read

For 25 seats at $30/seat/mo, you're committing $9,000/yr in tooling plus $8,500 in rollout and training.

At medium adoption with 4 hrs/wk saved per person at $85 loaded — and a 25% risk haircut — year-1 net value lands around $169.9K.

Payback hits at month 2. The single biggest swing factor is adoption — at 50% adoption the same investment returns $107.4K.

The investment pays back. The work to make it real isn't procurement — it's enablement. Plan training and a curated prompt library before the contract starts.

Share this decision

  • 25 seats × $30/mo = $9,000/yr; setup $8,500.
  • Saves 4 hrs/wk/person at $85 loaded, medium ramp, 25% risk haircut.
  • Year-1 net: $169.9K; payback 2 mo.
  • Sensitivity: $107.4K (50% adoption) to $232.3K (full).