Log on to any website today, and chances are an AI chatbot pops up to answer your enquiries. Some of them are so good that it can take a while to realise you’re not talking to a real person.
You’ve probably heard of another type of AI mentioned in the same breath as chatbots: AI agents.
What’s the difference between the two? At IT support company Smile IT, it’s one of the most common questions we get from Brisbane businesses exploring AI, whether it’s a growing team or a large mining operation.
Let’s take a look at AI agents and AI chatbots, their differences and whether or not your business should prioritise one or the other.
What Is an AI Chatbot?
An AI chatbot is artificial intelligence software that communicates with people using natural language. You would have likely used one before on a website or customer portal – they pop up, answer your questions about the business and assist with further information.
Traditionally, they stick to predefined rules and scripts. Modern ones run on large language models (LLMs), letting you engage with them on a more complex level. They can pull information and connect to external systems to assist you.
An AI chatbot can understand questions and generate in-depth answers while holding a conversation that feels natural. Essentially, that’s their core function – helping people through conversation.
What Is an AI Agent?
An agent is an AI system built to achieve a goal through its actions. It makes decisions, plans its actions, and can take multiple steps toward achieving that goal, all without human intervention.
To do this, AI agents combine several capabilities:
- Reasoning: They work out what needs to happen for the task to take place.
- Planning: They figure out the best path towards achieving the goal.
- Tool use: They can engage with applications, databases and APIs.
- Memory: Keep track of relevant information throughout a task.
- Autonomy: They don’t require instructions at every step.
Those capabilities remove the need for regular human intervention or oversight. This makes AI agents especially powerful when it comes to automating workflows that would otherwise eat up valuable man hours.
5 Key Differences Between AI Agents and AI Chatbots
AI agents and chatbots are designed to work very differently.
Here’s how they compare:
| Feature | AI Chatbot | AI Agent |
| Autonomy | Mostly user-directed | Can work more independently |
| Task execution | Provides information and guidance | Carries out the task |
| Decision-making | Mainly generates responses | Can plan and choose actions |
| Tool integration | Optional | Usually essential |
| Complexity and Cost | Simpler and cheaper to set up | More planning, integrations and monitoring |
Let’s take a look at those in a bit more detail:
1. Autonomy
Chatbots wait for human engagement – a question asked, an instruction given. AI agents work more independently. They have a goal, and they can work out the steps to get there themselves.
2. Task Execution
Chatbots provide information and walk users through processes. Agents carry out work. For example, a chatbot might explain how to process an invoice. An AI agent could grab all the important information off an invoice and populate your accounting software with it, flagging any mistakes in the process.
3. Decision-Making
AI chatbots will provide answers to queries within a conversation, but won’t make decisions itself. An agent can weigh up information and choose between actions. They’re adaptable so can change their approach as a task unfolds.
4. Integration With Other Tools
Both can connect to external applications, but tool integration is usually central to how AI agents work. For example, if they handle automations in your CRM, an agent could update a customer’s details and send a follow-up email in a single workflow.
5. Complexity and Cost
Chatbots are usually simpler to set up. AI agents need more planning, integrations, permissions and monitoring. AI agents can deliver big payoffs through automation, but they also bring higher costs and operational risk.
AI Agent vs Chatbot: A Real-World Example
Imagine a customer contacting an online retailer because their order hasn’t arrived.
Using an AI chatbot:
A customer needs to know what has happened to their order and asks the chatbot where it is. The chatbot pulls the tracking details, explains the delivery status and tells them how to get further help. It could possibly connect them with a human team member if required.
Using an AI agent:
The customer reports the missing delivery and the agent checks the order status. It looks at the tracking information, reviews the retailer’s policies and works out the options available to the customer. Depending on what it discovers and how the agent is configured, it could arrange a replacement or refund, update the order record and let the customer know.
The distinction is the chatbot helps the customer understand what’s happening, while the AI agent can actually solve the problem for them.
Of course, an advanced chatbot with the right integrations could handle some of this too. The distinction is less about the interface and more about how independently the system manages the job.
Should You Use an AI Agent or a Chatbot in Your Business?
This comes down to what you’re trying to achieve or the problem you’re trying to solve.
If you need to:
- Answer questions.
- Provide users with fast access to information.
- Handle simple and predictable tasks.
- Have a conversational interface.
… then an AI chatbot is the tool for you.
If it’s more about:
- Tasks that span multiple steps.
- Workflows that depend on decisions.
- Automating actions.
- Generating efficiency gains.
… then you’ll need to look at agentic AI.
Depending on what you’re trying to achieve, you could use both an AI chatbot and an agent. The chatbot could be the conversational front end while an AI agent does the work behind the scenes. So much is possible with AI technology.
What’s Better, an AI Agent or a Chatbot?
There’s no clear winner here because they’re both suited to different situations.
AI agents can handle more complex work. They’re more autonomous and are especially useful when it comes to automation of processes.
That doesn’t mean they’re the right fit for every situation though. A well-configured chatbot could be the answer if all you need to do is answer common customer queries and direct them to the right resources.
What AI technology you’re using isn’t all that important provided the problem is getting solved.
Questions? Ask the Smile IT AI Consulting Team
If your business is interested in AI, it’s not really about deciding whether to use a chatbot or an agent. They’re both suited to different applications – you want to understand how they can cut repetitive work and make everyday processes run more efficiently.
If you’re overwhelmed by AI and trying to decide where it fits in your business, Smile IT’s Brisbane AI consulting team can help you cut through the noise. We’ll work out whether a chatbot, an agent or both makes sense, and set them up securely within your existing systems.
Get in touch and let’s have a chat.
