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AI and technology strategy

What is agentic AI? Uses, risks and returns for enterprises

Agentic AI refers to AI systems that can plan a sequence of steps and take actions in other software, such as updating records, sending messages or running workflows, rather than only producing text in response to a prompt.

Reviewed by Krynthnode Research. Last updated .

Why it matters

Agents promise to automate multi-step work, but every action they take carries operational and compliance risk. Early returns are strongest in internal, high-volume processes where each action can be checked and reversed.

What to get right

  • Start with internal workflows that have clear rules and reversible actions.
  • Redesign the process with the people who run it before automating it.
  • Keep a human approval step where customer, credit or safety outcomes are affected.
  • Log every agent action in a form auditors can read.

Common questions

How is agentic AI different from a chatbot?

A chatbot answers. An agent acts: it can call tools and systems to complete a task, which is why it needs tighter controls.

Where are agents delivering value today?

In our research on banking, reconciliation and dispute triage show the most consistent early returns.

Our research on this topic

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