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AI agents (agentic AI) are taking automation beyond rigid rules - toward systems that can learn, decide, and act.

View the article for clear answers to the questions leaders are asking:

Q: What is an AI agent (agentic AI)?

A: A system that can make decisions and take actions with minimal human intervention - more adaptive than traditional automation.

Q: How is this different from RPA?

A: RPA follows pre-defined rules; AI agents can handle unstructured inputs and adjust their approach based on context.

Q: Where are AI agents creating impact today?

A: Across functions like operations, finance/risk, and customer service - helping teams automate work at scale and improve outcomes.

Q: What should we watch out for?

A: Governance and risk - bias, regulation, security, and workforce adaptation need to be built into adoption plans.

It also features an interview with Kartick Kalaimani (Dentsu), sharing a practical view on how “digital workers” can take on high-volume tasks so teams can focus on higher-value work.

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