The AI invoice is unreadable: A call for AI FinOps
🚨 The AI invoice is here—and it’s unreadable.Raj Kunnath latest piece brilliantly exposes a growing blind spot in enterprise AI adoption: token-level spend and governance.As GenAI becomes embedded across products, most leaders can’t answer basic questions:Which models are we using?Who’s spending the most?Is sensitive data being exposed?This isn’t just a budget issue—it’s a compliance and trust crisis.Raj calls for a new discipline: FinOps for AI.Just as FinOps brought clarity to cloud costs, AI FinOps must unify finance, engineering, and governance to ✅ Track token usage ✅ Forecast spend ✅ Enforce data policies ✅ Detect anomalies in real timeAtCoreStack, we believe the future of AI governance lies in a unified control plane—where cloud and AI spend are visible, accountable, and secure.🔗 Read the full blog:https://lnkd.in/ggrpV9T2It’s time to scale AI responsibly.#AI#FinOps#Governance#CoreStack#GenerativeAI#Leadership#CloudOps#AITrust
Consulting Leader in Payments | Cards, Merchant Acquiring, FinTech Strategy &Operations | Automations, Advisory, Thought Leadership & Business Development (India & South Asia)
2dNeed of the hour. There are fintechs who are struggling to check the bills of api calls
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Thank you for publishing this article,XRC Ventures, it speaks well to what I'm seeing as well. A bridge of empathy is built through applied experiences - wisdom will matter a lot. Here's a clip:"A recent MIT study found that 95% of enterprise AI pilots have failed. Crucially, the reasons weren’t technical limitations, but organizational ones:- The “learning gap”: AI systems often lack integration into workflows, feedback loops, and organizational adaptation.- Overreaching pilots: Too many initiatives try to “swallow the whale” instead of starting with a single pain point and scaling from there.- Vendor-led projects succeed more: Tools purchased from external vendors succeed about twice as often as internally built projects, because vendors scope tightly, manage expectations, and deliver incremental wins.Taken together, these findings underscore the services thesis: workflow integration, change management, and organizational alignment can’t be solved with an API. They require human-led services that bridge the gap between AI potential and corporate reality."#Litmus7#RetailAI
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