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AI Pilot Cost-of-Inaction.

The board asks: "should we delay this AI pilot another quarter while we figure out compliance / vendor risk / org-readiness?" This calculator answers in dollars. Enter the pilot's value, the delay you're considering, and the rate at which competitors close the advantage gap. Get back net cost of delay with the math on the page. Pair with the Build-vs-Buy calculator and the AI Vendor Intake for what to do with the answer.

Inputs

All numbers are yours. No "industry-average" benchmarks or preloaded vendor data. Math runs in your browser; nothing leaves.

Annual value at full deployment ($) What the pilot is expected to generate per year once it's at full scale. Cost savings count too — they're value just on a different sign.

Months to full deployment if started this quarter

6 mo

From "go" to "at full value." If your pilot will only ever be a pilot, set this to "time to full pilot scope."

Delay being considered (months)

3 mo

If the answer is "indefinitely," start with 12 and re-run after one quarterly review. Indefinite delays compound.

Competitive-advantage decay per month (%)

Per month, what's the probability that a competitor materially closes the gap your pilot creates? Public AI tooling = ~5-10%/mo. Proprietary insight + data network effects = ~1-3%/mo.

Annual revenue / margin at risk if competitor ships first ($) Different from annual value. This is the recurring revenue (or margin protection) that depends on you having the capability before a competitor does. Often 30-50% of annualValue for a defensive pilot.

Setup cost avoided by delay ($) What you don't have to spend if you delay. Vendor onboarding, integration eng-hours, training. Typically small relative to annualValue — be honest.

Verdict

Delay is —

Move the sliders to see the math update.

Net cost of delay

$—

value forgone + competitive risk − setup avoided

P(competitor closes gap)

—%

over the delay window

Component breakdown

Direct value forgone (delay × monthly value)$—

Competitive risk premium$—

Setup cost avoided (credit)−$—

Net cost$—

The math, on the page

Three components, all transparent. Run them yourself if you want to argue with the framework.

Component	Formula
Direct value forgone	`(annualValue / 12) × delayMonths`
Competitive risk premium	`revAtRisk × (1 − (1 − decayRate)^delayMonths)`
Setup cost avoided	credit, subtracted
Net cost	`direct + compRisk − setupAvoided`

Verdict bands: < $50K cheap · $50–250K real · $250K–1M expensive · > $1M critical.

What this calculator deliberately doesn't model: opportunity cost of not shipping the wrong AI pilot. Sometimes the right answer is to delay precisely because the pilot isn't ready and the competitive risk is fictional. If your revenue at risk input is honestly << $50K, the verdict will tell you delay is cheap — which is the calculator agreeing with you, not arguing.