The AI Cost Crisis Enterprises Did Not See Coming Enterprise AI spending has a visibility problem. When a single customer support agent handling 10,000 daily conversations can generate over $7,500 per month in API costs, and that is just one application on one team, costs compound quickly into budget line items that catch finance leaders off guard. Multiply across multiple teams, products, model providers, and environments, and AI costs become unpredictable and unmanageable without purpose-built tooling. The root causes are structural. LLM pricing is token-based, making costs variable and difficult to forecast. Different models have wildly different pricing: a complex query routed to GPT-4o costs orders of magnitude more than the same query handled by a smaller, faster model. Most organizations lack the instrumentation to attribute AI costs to specific teams, projects, or features, so there is no accountability loop.…