300 shadow-AI users, 90 sharing sensitive data (3897 prompts/mo); expected annual loss $1,110,000 → governance ROI 1518.75%.
| Shadow-AI users | 300 |
| Sensitive prompts / mo | 3,897 |
| Expected annual loss | $1,110,000 |
| Your service fee / mo | $8,000 |
| Client net / mo | $56,750 |
| Governance ROI | 1,518.8% |
| What to do | SELL GOVERNANCE NOW |
| Why | 300 employees on unsanctioned AI, 3897/mo prompts carrying sensitive data — exposure math says the governance program at $8000/mo pays for itself in avoided expected loss. This is the easiest security conversation of 2026: the client already suspects it. |
Exposure and expected-loss math come from the fleet Shadow-AI Exposure brain — identical numbers to the public calculator by design. The MSP layer prices the governance program as a recurring white-label service via cost ÷ (1 − margin). Expected-loss figures are probabilistic estimates*, not predictions, and running the program does NOT make the client legally compliant — sell it as risk reduction plus evidence, which is what it is. Pairs with the Managed AI Service Pricing calculator (its governance floors) and the platform’s shadow-AI discovery (S15 roadmap).