The AI spend problem just went mainstream

Hi there, Last week, one story quietly confirmed something we've been saying since day one: AI spend is about to become every CFO's problem, whether they're ready or not. The story: On July 13, LTM (formerly LTIMindtree) announced a partnership with Anthropic to bring Claude, Claude Code, and Claude Cowork into its enterprise delivery platform — targeting banking, financial services, high-tech, and consumer industries. LTM is also expanding its AI1000 initiative to train and deploy thousands of Claude-certified architects and Forward Deployed Engineers. That alone might just be one deal. But it's not alone. In recent months: Infosys, TCS, Cognizant, and Wipro have all announced strategic partnerships with Anthropic. UST is training 12,000 employees on Claude. DXC launched a multi-year global alliance. Accenture and Deloitte have partnered with Anthropic too. India's IT services industry — long known for delivering software cheaper and faster — is now doing something new: deciding which AI models power the next decade of enterprise software, and deploying them at massive scale, across massive client bases. Why this matters for your AI budget Every one of these rollouts means thousands of new AI-powered workflows going live inside real companies. Each one generates real, fragmented spend — across departments, across providers, across teams that don't talk to each other. This is exactly the pattern we've watched before. Cloud spend used to live quietly on an engineering credit card, until finance woke up to it as a board-level line item. AI spend is on the same trajectory — except moving faster, and starting from a higher base. What we've been building While this wave has been building, we've been getting spend360 ready for it: BU Admin isolation shipped. Multi-business-unit organizations can now scope access properly — a business unit admin sees and manages only their own unit's keys, spend, and members. No cross-BU visibility. This is the kind of access control enterprise buyers expect, and a building block toward SOC2. The homepage got a rebuild around the AI Value Tree — our name for the idea that spend visibility alone isn't the point. The real question CFOs are asking is: what did this spend actually produce? Time saved? Cost avoided? Revenue impact? The AI Value Tree traces AI spend from raw invoice line item all the way to a defensible ROI number, per business unit, per use case. Try it yourself If you want to see where your own AI spend stands, plug your numbers into our ROI Calculator — it takes about 30 seconds and gives you a real estimate of what you might be missing without proper attribution. [See the ROI Calculator →]spend360.ai/roi More soon, Srinivas Narra Founder, spend360.ai You're receiving this because you subscribed at spend360.ai. [Unsubscribe]