Agentic AI

Agentic AI: a practical starting point for enterprise teams

A sample editorial perspective on choosing useful tasks, defining boundaries, and keeping people accountable.

Published 1 min read

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Start with a useful task

Before choosing an AI architecture, define a specific task and the people it should help. Map the information required, the decisions involved, and the point at which a person must take over.

Evaluate the workflow, not just the model.

Make boundaries explicit

Set limits on which tools the system may use and which actions need approval. Keep a record of its actions so your team can understand mistakes and improve the process.

Evaluate before expanding

Test representative examples, including incomplete requests and ambiguous instructions. Review accuracy, usability, privacy, and operational risk before extending the pilot.

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