AI agents can plan, use tools and complete multi-step tasks. Here is a plain-language explanation of how they work, where they help businesses today, and how to start without losing control.
Define success, lack of progress, cancellation and escalation before running an agent, so repeated activity does not become an endless substitute for completion.
Keep proposed actions, authorization, execution and confirmed outcomes distinct so an agent can explain what it intends to do and what actually happened.
Useful multi-agent work starts with independent tasks, bounded authority and an explicit merge decision, rather than adding more roles to the same problem.
Tie approval to a concrete action, target, input version and lifetime, so an agent cannot carry permission from one proposal into a different operation.
I use analytics to see which pages are read and, only if you allow it, marketing tags to measure campaigns. Nothing is loaded until you choose; the choice is stored in your browser. If you send an enquiry, the campaign and the pages that led to it are attached to it so I can see which channels work. Privacy policy