Managed AI Service Pricing & Governance

Verdict

PREMIUM SERVICE

Delivery cost $1246/mo (model $180 · platform $250 · labor $816 at risk-tier 2) → $2492/mo fee at 50% margin = $62/AI user.

Key figures

Monthly fee	$2,492
Implementation fee	$4,896
Per AI user / mo	$62
Delivery cost / mo	$1,246
Model cost / mo	$180
Usage share of cost	14%
Model cost basis	manual input (estimated*)
What to do	PRICE & LAUNCH
Why	Costs are labor-led and stable — flat monthly fee of $2492 (+$4896 implementation) holds your 50% margin. Review usage quarterly.

Assessment

Fee = cost ÷ (1 − margin). Model usage priced vendor-exact from the pricing SSOT when a model + token workload is supplied (modelBasis says which). Governance hours scale with data-risk tier and are a launch FLOOR, not garnish. This assessment does not make the client legally compliant and never claims to — sell governance as ongoing work, which it is.

Questions for the founder

What data can the assistant reach — and is any of it regulated? (That sets the risk tier, not the use case.)
Who reviews outputs weekly, and where do incidents go?
What happens to your margin if usage doubles? If the answer hurts, meter it now.

Assumptions & method

Governance floors (2/4/8 hrs by tier) and risk multipliers are typical* starting points.
Manual model cost is estimated*; supply a model + tokens for SSOT pricing.

Generated by AICost.ai (aicost.msp-managed-ai-service-pricing), CloudIntelligence.ai LLC. API pricing is sourced vendor-exact from a daily-maintained pricing single source of truth as of 2026-07-20. Values marked with an asterisk are analyst estimates rather than vendor-verified data. This memo is a cost-and-unit-economics analysis prepared for diligence purposes; it is not investment advice, and it does not assess team, market, product or legal risk.