Deploying agentic AI is categorically different from simply using generative AI.
Generative AI agents can reason, plan, and take actions across enterprise systems, which means deploying them is not just a software installation but a change to how work gets done. When agents gain the ability to execute tasks—updating records, issuing refunds, routing approvals—they introduce operational risks that traditional software tools do not, including unpredictable behavior and unclear responsibility when things go wrong. To use them safely and effectively, organizations must treat them like digital employees, giving each one a defined identity, limited authority, trusted sources of information, clear controls over what it can execute, and audit trails that make its decisions explainable. Companies that adopt this mindset and introduce autonomy gradually will be far more likely to capture the benefits of agentic AI without exposing themselves to costly mistakes.
To Scale AI Agents Successfully, Think of Them Like Team Members, by Rahul Telang, Muhammad Zia Hydari and Raja Iqbal
The article presents a thoughtful discussion on responsible deployment of AI agents in a corporate settings, focussed on identity, context, control and accountability.