{"ok":true,"engine":"aicost.msp-managed-ai-service-pricing","inputs":{"aiUsers":40,"monthlyInteractions":12000,"avgInputTokens":1500,"avgOutputTokens":400,"modelSlug":"","manualModelCostMonthlyUsd":180,"platformMonthlyUsd":250,"supportHoursPerMonth":6,"governanceHoursPerMonth":4,"loadedHourlyUsd":68,"riskTier":2,"setupHours":30,"targetMarginPct":50},"result":{"modelCostMonthlyUsd":180,"modelBasis":"manual input (estimated*)","deliveryCostMonthlyUsd":1246,"recommendedMonthlyFeeUsd":2492,"recommendedImplementationFeeUsd":4896,"pricePerAiUserUsd":62.3,"usageShareOfCostPct":14,"governanceFloorHrs":4,"decision":"PRICE & LAUNCH","decisionDetail":"Costs are labor-led and stable — flat monthly fee of $2492 (+$4896 implementation) holds your 50% margin. Review usage quarterly.","verdict":"PREMIUM SERVICE","verdictReason":"Delivery cost $1246/mo (model $180 · platform $250 · labor $816 at risk-tier 2) → $2492/mo fee at 50% margin = $62/AI user.","memo":"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":["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":["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."]}}