One signal

As AI agents gain room to make decisions and take actions, Kumar Chivukula argues that organisations need clearer boundaries and human oversight, not just more capable models. His practical framework sets controls at three stages: building the agent, configuring it for deployment, and monitoring it while it runs.

Chivukula, who leads AI-driven software development work at Opsera, also recommends defining what an agent may do independently, which actions need approval, and how its decisions can be traced. It is a practitioner’s argument, not proof that this framework works everywhere, but it shifts the question from how smart an agent is to what it is allowed to change.

Discuss: Should organisations require human approval for every consequential agent action, or can clear permissions and traceable logs be enough?

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