Agentic AI Cost Engineering (2026): How Enterprises Control Token Economics and Inference Costs
Enterprises deploying agentic AI systems in 2026 face a new challenge: controlling token economics and inference costs across autonomous multi-agent workflows. Artificial intelligence is evolving rapidly. What started as simple prompt-response systems has transformed into agentic AI architectures capable of autonomous planning, reasoning, and execution. These systems can automate complex business workflows that previously required … Read more