How AI Agents Are Changing Businesses

An AI agent combines a model with tools, memory and a goal. Instead of replying once, it plans steps and takes actions until the task is done.

Teams use agents for lead qualification, support triage, research summaries, reporting and internal data lookups.

The practical skill is scoping: choose one narrow, repetitive workflow, define success clearly, and keep a human review step where accuracy matters.