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What automated discovery gives back.

Discovering unmanaged AI by hand doesn’t scale — analysts chase agents, keys and MCP servers across a growing fleet. This estimates the labor that automated, continuous discovery gives back. It’s deliberately conservative and uses only defensible inputs; pair it with a firm quote from us for the full business case.

Estimate your return

Estimate your return

With the default inputs the calculator returns 1,432 analyst-hours and $136,015 a year of time saved. Every input feeds the result; the formulas are shown under “How this is calculated”.

Your environment

All figures are in USD. The default values are illustrative assumptions; edit each field to match your environment. The audit-effort defaults (2 minutes per endpoint, 2 audits a year) are assumptions chosen for illustration.

Whole number, 0 to 1,000,000.
0 to 1,000 (halves allowed).
0 to 744.
USD, salary plus overhead.
0 to 100. Default 70%.
Manual audit effort scales with fleet size.
0 to 365.
Leave empty until you have a quote. Without a price, platform cost and payback are not shown.

Estimated impact

Hours saved per year
1,432
analyst-hours returned to higher-value work
Value of time saved per year
$136,015
unrounded hours saved × loaded hourly cost
Platform cost per year
Not shown
Enter a price per endpoint per month to include it.
Net annual benefit
$136,015
value of time saved, before any platform cost (no price entered)
Payback
Not shown
Needs a platform price.

Excludes risk avoided (a single exposed key or ungoverned agent can dwarf the labor number) and audit-prep time saved by framework-mapped evidence. Get a firm quote →

How this is calculated
  1. Manual discovery hours / year = analysts × hours per analyst per month × 12.
  2. Manual audit hours / year = endpoints × minutes per endpoint per audit × audits per year ÷ 60.
  3. Hours saved / year = (manual discovery hours + manual audit hours) × automation share.
  4. Value of time saved = hours saved × loaded hourly cost.
  5. Platform cost / year = price per endpoint per month × endpoints × 12. Shown only when you enter a price.
  6. Net annual benefit = value of time saved − platform cost (platform cost is 0 when no price is entered).
  7. Payback (months) = platform cost per year ÷ (value of time saved ÷ 12), the months of savings needed to cover one year of subscription. Shown only when a price is entered and the value is above zero.

Inputs are clamped to the ranges shown (negative or non-numeric entries are flagged and replaced by the nearest limit or default). Results are estimates from your inputs; they exclude risk avoided and audit-prep time saved by framework-mapped evidence.

With the default inputs (8,000 endpoints, 3 analysts, 42 hours, $95/hour, 70% automation, 2 min per endpoint, 2 audits per year): 1,512 manual discovery hours + 533 manual audit hours = 2,045 hours, × 70% = 1,432 hours saved, × $95 = $136,015 per year.

Full model

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