An AI agent is autonomous software that handles a customer interaction from start to finish. In support it can read the customer’s history, apply policy, act in the helpdesk or CRM, and reply, all in one conversation.
In short
- Planning, tools and actions are what separate it from a chatbot.
- Its answers are judgment calls, so measure its quality like a human agent’s.
- Scoring every conversation catches errors and unsafe answers early.
- The grader should be neutral, not the vendor selling the agent.
How an AI agent works in support
An AI agent is given a goal, resolving the customer’s issue, and works toward it on its own. It reads the incoming message and any relevant history, decides what needs to happen, calls the tools or systems required, such as looking up an order or updating a ticket, and then responds. If the situation changes mid-conversation, it adapts rather than following a fixed script.
This is what separates an AI agent from a deflection bot. The bot points a customer to an answer. The agent takes the action and closes the loop.
Why AI agents still need QA
Handing conversations to an AI agent does not remove the need for quality assurance, it raises it. Every conversation the agent handles involves choices about tone, accuracy, policy, and safety that used to be made by trained people. At scale, a single bad pattern repeats across thousands of interactions before anyone notices.
| Question | Why it matters |
|---|---|
| Was the answer correct? | AI agents can state policy or facts wrong at scale |
| Was it on-brand and empathetic? | Tone drift damages trust across every conversation |
| Did it follow process? | Skipped steps create compliance and rework risk |
| Was it safe? | Unsafe or non-compliant replies need to surface fast |
Grading AI agents without a conflict of interest
The credibility of an AI agent’s score depends on who produces it. If the same vendor sells the agent and grades its work, the evaluation is compromised by design. Neutral QA solves this: the grader has nothing to protect when it scores a conversation.
Kaizo does not sell AI agents. It is a QA and coaching platform, native to Zendesk and Salesforce, that scores conversations against your own scorecard with every score linked to the evidence in the transcript. That lets it grade human agents and AI agents on the same neutral basis, so leaders can trust the numbers and coach on them.
Frequently asked questions
What is the difference between an AI agent and a chatbot?
A chatbot typically answers one question or deflects to an article. An AI agent works autonomously toward resolving the whole issue, taking actions in your systems and adapting as the conversation unfolds. The agent completes tasks, not just replies.
How do you measure the quality of an AI agent?
Score its conversations against the same quality scorecard you apply to human agents, ideally across 100% of interactions rather than a sample. Every score should link back to the evidence in the transcript so the result can be verified by reading, not trusted blindly.
Can the same QA system grade both human and AI agents?
Yes, and using one neutral scorecard for both gives leaders a fair comparison. The requirement is that the QA system is independent from the AI agents it grades, so it has no incentive to inflate the AI’s scores.
Related terms
Grade your AI agents on your own conversations
Bring a week of real conversations, human or AI-handled, and we will show you 100% coverage and the coaching cards your leads would get on Monday.
