What is an AI customer support agent? (And what resolution rate hides)
An AI customer support agent resolves a request instead of answering it: it reads the ticket, checks the order or account, takes the action, and closes the conversation. The number that decides whether a rollout works is resolution rate, and every vendor defines that word to suit its own billing.
Answering versus finishing
An AI customer support agent takes a customer request and finishes it. It reads the ticket, pulls up the order or account, issues the refund or changes the plan, and closes the conversation. A chatbot returns a help article and leaves the work with the customer. For a support team the practical difference is which queue shrinks: answer-only bots move volume around, agents remove tickets.
Resolution rate is a billing definition, not a quality score
Every vendor quotes a resolution rate and every vendor counts it differently. Fin charges $0.99 per resolution and defines one as no further help being requested after its last answer, so a customer who gives up and phones instead is billed as a win. Zendesk counts an automated resolution as a request handled with no escalation to a human agent. Published ranges for genuine end to end resolution sit near 70 to 84 percent in ecommerce and 40 to 60 percent in telecom, healthcare and insurance, where tickets carry more rules. Get the vendor to write its definition down before comparing two numbers.
What has to be true before rollout
The agent needs permission to write to whatever system holds the truth: orders, billing, subscriptions. Read-only access produces a bot that explains the refund policy and cannot issue the refund. Set escalation triggers up front (two failed attempts, billing disputes, anything legal or medical) and make the handoff carry the transcript, because a customer forced to re-explain the problem is where satisfaction scores collapse. A team under roughly 200 tickets a month gets more out of tidying the help centre first.
Last updated: Aug 15, 2026