AI may look simple on the surface - but beneath every prompt is a hidden system of token consumption, cost, and complexity. As organizations scale AI, what you see is no longer what you get. Understanding tokens isn’t just technical - it’s essential to managing cost, value, and strategy in the AI-driven enterprise.

AI services are expanding rapidly, and pricing them accurately is now a top concern for IT Finance teams. This guide—developed with Magic Orange—explores key cost drivers, SaaS vs. custom AI pricing, and how FinOps practices are evolving to meet the demands of AI-driven strategies.

As AI adoption grows, organizations must manage unique cost drivers - from serverless service usage to expensive model training. Aligning AI costs with business value is key to maximizing ROI and making informed strategic decisions.