ROI Calculator Methodology

How we derive value from automation and failure prevention. Use this to interpret and customize the analytics dashboard.

Inputs (Configurable)

ParameterDefaultDescription
days30Analysis window (7–365)
hourlyRateUsd120Engineering labor cost per hour
incidentCostUsd1500Cost per prevented failure (production incident, rollback)
baselineFailureRate0.20Expected failure rate without AgentMD (e.g., 20%)
platformCostMonthlyUsd40Your AgentMD subscription cost per month

Formulas

Labor value (automation)

Each execution saves ~8 minutes of manual run/triage time. Gross labor value = hours saved × hourly rate.

Failure prevention value

If your observed failure rate is lower than the baseline, the difference represents failures prevented by AgentMD. Value = prevented failures × incident cost.

Gross and net value

Gross value = labor value + failure value. Net value = gross value − platform cost. ROI multiple = gross / platform cost.

Confidence

  • Low — < 80 executions in window
  • Medium — 80–299 executions
  • High — ≥ 300 executions

Caveats

  • Labor value assumes 8 min/execution; adjust for your workflow.
  • Failure prevention depends on a realistic baseline. Use 15–25% if you don't have historical data.
  • Incident cost varies widely ($200–$10k+). Use your own post-mortem data when possible.
  • Qualitative benefits (context-switching, onboarding, compliance) are not included.

API

GET /api/analytics/roi-report?days=30&hourlyRateUsd=150&incidentCostUsd=2000&baselineFailureRate=0.2&platformCostMonthlyUsd=40

Response includes assumptions, metrics, value, and confidence.

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