“Too many enterprises launch agents with no named owner, no exception queue, and no plan for quality drift,” says Anirudh Shah, CTO at MediaMint. “They treat autonomy like a switch, going full-auto after a demo instead of earning trust, decision by decision. Start with tightly scoped micro-tasks, human oversight, measurable trust thresholds, and knowledge that expires unless revalidated.”

As organizations deploy MCP servers and enable agent-to-agent collaboration, CIOs have more complexity in defining decision-making authorities.

Kandarp Desai, CTO at Xactly, says, “This accountability gap becomes especially risky in multi-agent systems, where no single agent is ultimately responsible for the final result. Before deploying, you must answer: When the agent makes an error, who is responsible, and is it possible to trace back its decision process?”