LLM FinOps
AI spend management as a discipline. Cost attribution, governance, optimization patterns, Indian tax structure on AI spend.
- Gemini Thinking Levels: Deciphering the New $200/mo AI Agentic Tax Google's 2026 pricing shift ends flat-rate AI. I analyze the new 'Thinking Levels' and why the $200/mo Deep Think tier is the first real agentic tax.
- AI Cost Allocation: Models That Work in Indian Production AI cost allocation explained: showback vs chargeback, dimension models that actually scale, IAM tag enforcement, and the Indian TP and Ind AS 108 overlays.
- The 2026 AI Spend Disclosure Audit: 46 Companies Graded We scored 46 public companies on how well they actually disclose AI spend in filings. Only 2 cleared a 'Solid' bar. Apple and Amazon disclose nothing specific.
- Section 195 TDS on Foreign AI Vendors: Complete India Guide Section 195 TDS mechanics on OpenAI, Anthropic, AWS Bedrock payments. Engineering Analysis SC, DTAA rates, Form 15CA/15CB workflow, IT Act 2025 transition.
- AI Vendor Consolidation in 2026: When to Cut, When to Hold AI vendor consolidation explained: why 68% of CIOs prioritise it, the trade-offs nobody talks about, and the Indian tax overlay that changes the math.
- The FinOps Foundation Framework: A Practitioner's Walkthrough FinOps Foundation Framework explained — Inform/Optimize/Operate phases, capabilities, personas, 2026 Executive Strategy Alignment update, AI extension.
- AI Systems Review: A 6-Domain Framework You Can Run Internally Six-domain framework for auditing AI spend, vendor consolidation, model selection, controls, governance, and cost allocation at Indian mid-market scale.
- AI Tax Recovery for Indian CFOs: The 5-Domain Framework GST input credit, Section 195 TDS, RCM, capex/opex, transfer pricing — the five tax-recovery domains for Indian companies with material AI/cloud spend.
- Section 195 vs Equalisation Levy: Foreign AI Vendor TDS Equalisation Levy abolished. Section 195 TDS + DTAA + Engineering Analysis is the new framework for foreign AI vendor payments. Transition reconciliation guide.
- AI Software Capex vs Opex in India: The Ind AS 38 Test Most AI spend is opex by default — SaaS, API consumption, fine-tuning third-party APIs. The narrow capex window explained for Indian CFOs and auditors.
- FinOps vs ITFM vs ITAM: Why You Eventually Need All Three FinOps, ITFM, and ITAM aren't competing — they cover different scopes. The 2026 convergence thesis explained, with Indian mid-market sequencing guidance.
- AI / Cloud FinOps Providers in India: A Practitioner's Take Honest comparison of AI / cloud cost optimisation providers in India — CloudKeeper, Apptio, Big-4, cloud-native shops, boutique advisory. Who fits what.
- Why LLM Gateway Attribution Is Harder Than Cloud FinOps Ever Was Cloud FinOps had two stable attribution units. LLM spend has N freeform dimensions, two failure modes nobody talks about, and a hidden cost in reporting UX.
- What is LLM FinOps? The Missing Discipline for AI-Era Companies LLM FinOps is the discipline of managing AI/LLM spend like serious infrastructure cost. Three frames — solo builder, engineering org, CFO — explained.