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AI agent vs chatbot: what is the difference?
The short answer
A chatbot answers questions from a script or a knowledge base. An AI agent goes further: it reads the situation, decides what to do next and takes actions in your systems, such as checking an order, updating a CRM record or booking an appointment, within limits you set. If the job ends with an answer, a chatbot may be enough. If it ends with something being done, you need an agent.
What a chatbot does
Older chatbots follow a decision tree: the customer picks from buttons, and the bot replies with a prepared answer. Newer ones use a language model to answer in natural language from your documents.
Either way, the conversation ends with information. If the customer needs something changed, they are told how to do it or handed to a person.
What an agent does
An agent has tools. Alongside the language model, it has controlled access to your systems: it can look up an order, check a calendar, create a record or send a message. It works through a task in steps, deciding at each point what to do next.
Ask a chatbot where your order is and it explains how to track it. Ask an agent and it finds the order, checks the courier and tells you it arrives on Thursday. If the parcel is lost, it starts the replacement and asks a person to approve it.
The differences that matter
- Outcome. A chatbot gives an answer. An agent completes a task.
- Access. A chatbot reads a knowledge base. An agent reads and writes to your business systems.
- Steps. A chatbot responds to one message at a time. An agent plans and carries out several steps.
- Risk. Because an agent acts, it needs limits, approval steps and logging that a chatbot does not.
- Effort. A chatbot is quicker to build. An agent needs integration and testing, and returns more for it.
Which one do you need?
If most of your enquiries are questions with fixed answers, such as opening hours, prices or policies, a well-built chatbot grounded in your own content is the right starting point.
If enquiries usually lead to work, such as checking, booking, updating or processing, a chatbot only moves the queue. An agent removes it.
Many businesses start with answers and add actions one at a time, beginning with the safest.
Keeping an agent safe
The same ability that makes an agent useful makes control important. A well-designed agent is limited to named actions, asks a person before anything sensitive, escalates when it is unsure and records everything it does.