Revenue Model · No. 102
Board-Level AI Governance Briefings
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The Verdict
Strong return, low drag. This one is built to scale.
Quick Facts
| Best-Fit Founder | Experienced operator |
|---|---|
| Revenue Type | Recurring |
| Capacity Level | Low · start lean |
| Archetype | Asset (High Return · Low Cost) |
| Evidence Tier | Modeled |
What This Revenue Model Is
A board of directors is signing off on a management team's AI strategy without a single board member able to articulate what AI governance actually requires of them, and when regulators, investors, or journalists ask that question publicly, no one in the room will have a credible answer. The gap is not the technology. The gap is the governance, and it is your engagement.
Board advisory rates, with an AI-expertise premium.
$5K-25K
per year, retainer
$500-2,500
per meeting
+20-40%
AI premium
This is board advisory work in a domain boards are scared of, which supports a premium. It trades on rare expertise and judgment, not delivery hours.
Advisory retainers run $5,000 to $25,000 a year or $500 to $2,500 per meeting, and AI strategy expertise commands a 20% to 40% premium over general advisory.
Benchmarked to advisory compensation and AI consulting data (Advisory Board Centre, Carta, Articsledge, 2024-2026).
Evidence tier: Modeled. Figures are modeled estimates, not observed results. Ranges are illustrations of how the model prices, not predictions of your results.
The Two-Axis Placement
Return score: 3.7 / 10. Personal Cost score: 2.6 / 10. That combination places this model in the Asset quadrant: high return · low cost.
AssetHigh return, low personal cost
Lucrative JobHigh return, high personal cost
TrickleLow return, low personal cost
TrapLow return, high personal cost
Score Breakdown
Return
Personal Cost
Related Revenue Models
Family page: Service Model
Could this model work in your business?
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