Agent versus chatbot
A chatbot mostly answers questions in a conversation. An agent can also act. It might look up an order, update a CRM record, schedule a meeting or run a multi-step research task, using tools it has been given access to.
How agents work
Most agents combine a large language model with tools and instructions. The model decides what to do next, calls a tool, reads the result and repeats until the task is done or it needs a person to step in.
Where businesses use them
Common uses include customer support that can actually resolve requests, sales assistants that qualify and route leads, internal helpers that pull reports and coding assistants that write and test software.
Why AI Agent matters
Agents can take routine, multi-step work off people's plates. They also change how customers find businesses, since AI assistants increasingly research and compare options on a person's behalf. Clear, structured information makes your business easier for those tools to understand.
From answers to actions
A home services company's website chatbot could only answer FAQs. An agent connected to its booking calendar and CRM could check availability, book visits and log the lead, so more after-hours inquiries turned into scheduled jobs without staff involvement.
Common mistakes
Giving too much access too soon
Agents that can send emails or change records need limits. Start with narrow permissions and human approval for anything important.
Skipping monitoring
Agents can misunderstand tasks or make mistakes. Log what they do and review results regularly.
Automating a broken process
An agent speeds up whatever process it follows. Fix the underlying workflow first.
Where we work on this