# AI ROI by Business Unit: FinOps for AI Platforms

Every business unit wants more AI. Finance wants to know what each use case costs and what it returns. When LLM spend arrives as one shared bill, neither question has a clear answer. This webinar shows how to tie AI consumption to the teams and use cases driving it. With that view, leaders can fund what works and rethink what doesn't. We'll walk through how Kong AI Gateway applies team-level token quotas and chargeback attribution at the traffic layer, before application code touches a request. You'll see how Konnect Metering & Billing turns that gateway-native usage data into showback and chargeback reports business owners can trust. We'll also cover how gateway policies can be leveraged to reduce the cost of each request. Lower unit costs raise the return on every AI use case you already run. Join us to build an AI cost model that your finance leaders and your platform team can both stand behind.

**Key takeaways:**

• - How to build one AI cost model that finance leaders and platform teams can both stand behind.
• - How to decide which AI use cases to fund, scale, or rethink using per-team cost and return data.
• - How to enforce AI spend limits at the gateway, before application code touches a request.