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AI explained6 min read

What AI agents actually do, and where they fit

Agents can work their way through a goal rather than a fixed path. That’s powerful, and it’s exactly why the boundaries matter.

“Agentic” has been stretched to mean almost anything. Stripped back, an agent is a system that can read a situation, pick from a set of actions it’s allowed to take, and work through several steps toward an outcome.

That’s not the same as handing your business to something unpredictable. The ones that work are hemmed in by the systems, policies and limits you already run on.

#Automation follows a path. An agent picks one.

Ordinary automation is excellent when the route never changes: form arrives, record created, confirmation sent. You want an agent when the input varies. An email that needs interpreting. A document that needs comparing against another. A request that could go to three different people depending on what it says.

#What a sound one looks like

  • A narrow goal and a short, explicit list of things it may do
  • Sources it can trust, rather than an open-ended search of the internet
  • A route to a human when confidence is low or the stakes are high
  • A record of what it did and why, that you can read afterwards

The question isn’t “can an agent do this?” It’s “where does judgement earn its keep, and where should the thing stop and ask?”

#Where they earn their place

Triaging support tickets. Researching an inbound lead before the first call. Pulling meaning out of a stack of documents. Drafting a reply from information you’ve already approved. In each case the agent closes the gap between something arriving and someone being able to act on it.

Used properly, agents give a small team more room without giving up control. The skill is in the design: bound the job tightly, make the decision points visible, and keep a person on the calls that matter.

Recognise any of this in your own business? Tell us about it and we’ll say whether it’s worth automating.

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