<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Finops on AI Charcha</title><link>https://www.aicharcha.com/tags/finops/</link><description>Recent content in Finops on AI Charcha</description><image><title>AI Charcha</title><url>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</url><link>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 31 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.aicharcha.com/tags/finops/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Cost Allocation Models for Growing Teams</title><link>https://www.aicharcha.com/research/may-07-ai-cost-allocation-models/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-07-ai-cost-allocation-models/</guid><description>An enterprise framework for allocating AI model, platform, RAG, agent, license, and shared-service costs through direct attribution, showback, chargeback, and hybrid funding.</description></item></channel></rss>