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ROI calculator

What does your AI
actually cost?

Three numbers from your payroll and your AI invoices. See how much of that money goes through searching for and rebuilding business logic your company already has.

Your numbers
people
15,000
$per year
$40k$600k
$per month
$0$1M

Only what is on your payroll and your invoices. Computed in your browser and sent nowhere.

AI spend $300,000 per year, engineering capacity exposed $1,800,000 per year, together $2,100,000 per year.

You pay twice for missing business logic.

AI searches and reconstructs it$300kper year AI spend
People search, explain, review and fix it$1.8Mper year engineering capacity exposed
$2.1Mper year passing through a workflow GitMir can improve

GitMir extracts business logic once, keeps it current, and gives the relevant part directly to people and AI.

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How it is calculated

Two costs. Both are already
on your books.

Human cost

Engineering payroll100 × $180,000 = $18,000,000 / year
Baseline10% of engineering capacity goes to searching, reconstructing dependencies and business logic, clarification and the rework that follows
Human capacity exposed$1,800,000 / year

The baseline is conservative. In projects GitMir measured, engineers spent 6.5 hours a week in conversation alone before GitMir — 16% of a 40-hour week.

AI cost

Current AI spend$25,000 / month
Annual AI spend$300,000 / year
GitMir benchmark3.3× less context for product-logic tasks

Your agents are paying to rediscover information your company already has.

Benchmark 001: the same repository, questions and AI model, GitMir against the strongest alternative. We do not turn the bill into a saving: not every token goes to rebuilding context, and which share does is measured on your own work.

See the benchmark →What business logic is →

Stop paying twice
for the same business logic.

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