Best AI Customer Service

AI agent vs chatbot in customer service

Almost every vendor now calls its product an agent. The useful distinction is not the label but what the software can do with a customer's records.

By The editors · Updated · 3 min read

A support agent checks a returned item in an open shipping box beside her laptop in a small warehouse office.
A return is resolved when the record changes, not when the customer is told how returns work.
Contents
  1. The difference that matters
  2. What each can do
  3. How the vendors describe their agents
  4. A plan for moving from chatbot to agent
  5. Questions buyers ask
  6. Sources

Customer service software has used the word "bot" for a decade and the word "agent" for about two years. The change in vocabulary reflects a real change in capability, but not every product carrying the new label has made it.

The difference that matters

A chatbot answers. It matches a question to a scripted flow or a knowledge-base article and replies; when it cannot, it collects details and opens a ticket. An AI agent also acts. Gartner describes agentic AI as able to act autonomously to complete tasks rather than only generate text⁠1, and Zendesk describes its AI agents as able to perform actions in authorized systems autonomously⁠2.

For a customer, the difference is whether the conversation ends with the problem solved or with a promise that someone will look into it. "Where is my order?" is answered by a chatbot with a link to the tracking page, and by an agent with the order's status, the carrier and an offer to send updates.

What each can do

CapabilityChatbotAI agent
Answer policy and product questionsYes, from scripts or articlesYes, from the knowledge base in its own words
Look up the customer's recordsRarelyYes, during the conversation
Change something (refund, address, order)NoYes, within limits the company sets
Decide when to hand overFixed rulesRules plus its own assessment
Learn from human resolutionsNoSome, through review and updated knowledge

How the vendors describe their agents

Intercom Fin completes "Procedures" the company configures, and is billed when it resolves a conversation or completes a procedure that ends in a handoff to a person⁠3.

Gorgias AI Agent is trained on a store's Shopify data, help centre and policies, and handles product questions, order status, returns and order changes⁠4.

Salesforce Agentforce bills customers per action, and its examples of an action include updating a record, summarizing a case and answering a product question⁠5.

OpenLazarus describes its support agent as handling account-specific queries when connected to the company's systems: checking order status, looking up invoices, resetting passwords and updating account details. It escalates billing disputes, technical bugs and upset customers with the full context, and the people's resolutions become templates it learns from⁠6. Because the help desk, CRM and billing sit in one system the company owns, the agent works on the same records as the staff⁠7. Its support page uses illustrative examples rather than measured results.

Questions that reveal an agent

  • Which of our systems can it read during a conversation, and which can it change?
  • What can it change without approval, and where are the limits set?
  • What does the person receive when it hands over?
  • How does it learn when a person resolves something it could not?

A plan for moving from chatbot to agent

  1. List the top ten contact reasons and, for each, the system and field that holds the answer.
  2. Separate questions from requests. Questions need knowledge; requests need actions.
  3. Give the agent read access first, then write access for one low-risk request, such as an address change.
  4. Set limits in money and scope, such as refunds below a threshold.
  5. Measure resolution and repeat contacts for each reason, not one blended rate.

An agent is working when customers stop needing a second contact about the same request. For what that costs, see cost per resolution.

Questions buyers ask

Is an AI agent just a better chatbot?

Not only. Both converse. The difference is that an agent takes actions in the company’s systems, such as checking an order, changing an account or issuing a refund, and decides when to escalate. A chatbot answers and, at best, files a ticket.

Do AI agents still need a knowledge base?

Yes. Agents answer policy and product questions from a knowledge base, and act on records for account-specific questions. OpenLazarus keeps support knowledge in files the company edits, so a policy change is reflected in the next answer. Intercom and Gorgias train their agents on help-centre content and, for Gorgias, store data.

How do I know if a vendor sells an agent or a chatbot?

Ask it to show, on your data, three things. A lookup in one of your systems during a conversation. A change made in one of your systems. A handoff to a person that carries the full context. A chatbot cannot do the first two.

Sources

  1. Gartner predicts that agentic AI will solve 80 percent of customer problems by 2029. CX Today, 5 Mar 2025. Accessed 8 Nov 2026.
  2. About AI agents. Zendesk Help. Accessed 8 Nov 2026.
  3. Fin pricing. Intercom. Accessed 8 Nov 2026.
  4. AI Agent. Gorgias. Accessed 8 Nov 2026.
  5. Agentforce pricing. Salesforce. Accessed 8 Nov 2026.
  6. AI Support Agent: replace Zendesk, Intercom and Freshdesk. OpenLazarus. Accessed 8 Nov 2026.
  7. OpenLazarus. OpenLazarus. Accessed 8 Nov 2026.

Updated 8 Nov 2026: First published.

Further reading