Without controls, an AI agent can cost more than an employee

The excerpt contrasts different agent operating models and stresses that organizations should distinguish between them when evaluating cost. It recommends modeling token volume per task, benchmarking inference costs at the chosen model tier, and applying agents to bounded workflows where outputs can be checked and humans can catch errors before they cascade.