Agentic AI systems autonomously execute tasks without human approval at each step, creating unpredictable spending patterns that traditional cloud cost management cannot address. These agents call APIs, spawn sub-tasks, and execute multi-step workflows autonomously, consuming 5-30x more tokens than standard chatbots and requiring specialized governance frameworks including unified visibility, real-time controls, and continuous optimization to prevent budget overruns.