The Economics of Enterprise AI: From Runaway Costs to Predictable ROI | Model Sizing, RAG & ROI

Learn how enterprises move from unpredictable AI token bills to measurable business ROI. This Zero Zeta session breaks down the 5-layer enterprise AI cost stack, intelligent model routing (Frontier LLMs vs. SLMs), the 4-lever token optimization strategy, RAG vs. fine-tuning, hallucination guardrails, and DPDP compliance. Explore more: https://zerozeta.com/webinar/economic... Chapters: 00:00 Welcome & The Enterprise AI Cost Challenge 02:24 Token Cost vs. Business Task Cost 07:16 Why AI Subscription Bills Become Unpredictable 12:54 The 5-Layer Enterprise AI Cost Stack 22:40 The Basic AI Cost Equation 23:48 Frontier LLMs vs. Small Language Models (SLMs) 27:50 Model Sizing: The 80/20 Routing Architecture 31:26 Token Economics: Where Does the Money Go? 33:58 4-Lever Optimization: Reduce, Retrieve, Route, Cache 36:28 Targeted Retrieval vs. Context Stuffing 38:30 Grounding AI in Company Data: RAG vs. Fine-Tuning 42:40 RAG Pipeline Architecture, Latency & Cost 46:12 Containing Hallucinations with Layered Guardrails 48:54 AI Governance & Predictable Spend Controls 51:22 Privacy, Governance & DPDP Act Compliance 52:42 6 Questions for ROI Decisions & AI Value Equation 54:58 Predictable AI Architecture & Management Playbook 57:55 Live Q&A: On-Premise RAG & Local LLM Infrastructure #EnterpriseAI #AIEconomics #LLM #RAG #AIGovernance #ZeroZeta