A chatbot answers questions in a conversation. An AI agent goes further: it can take actions in your systems, such as updating a CRM, booking an appointment or raising an invoice, and can work through several steps to finish a task. Many businesses use both together.
Key takeaways
- Chatbots converse; agents act.
- A chatbot is enough for answering FAQs. An agent is needed when the conversation should end in a completed task.
- Agents need clear permissions and approval rules, because they can change real data.
What does a chatbot do?
A chatbot holds a conversation. Older chatbots followed scripts and buttons. Modern ones use AI to understand free-form questions and answer from your content. Either way, the result is information: opening hours, pricing, how something works.
What does an AI agent do?
An AI agent is given a goal and tools. It can look things up, decide what to do next and act: create a record, send an email, schedule a meeting, update an order. It can also run without a conversation at all, for example processing every invoice that arrives in an inbox.
Side by side
- Main job: a chatbot answers; an agent completes tasks.
- Access: a chatbot reads your content; an agent reads and writes to your systems.
- Trigger: a chatbot waits for a message; an agent can also start from an event such as a new email or order.
- Risk: a chatbot can give a wrong answer; an agent can take a wrong action, so it needs limits and approvals.
Which one do you need?
If customers mostly ask questions that your website already answers, start with a chatbot. If conversations should end with something done, such as a booking made or a lead logged and assigned, you need an agent. A common setup is a chat assistant at the front that hands tasks to agents behind it.