Sierra
Customer service agents for large brands that answer, take actions in back-office systems and hand off to staff.
A customer service agent answers support conversations and, when connected to the right systems, resolves them: it can check an order status, start a return, change a booking or reset an account setting, then close the ticket or pass it to a person. The difference from an older help-center bot is that it reads policies and account data to decide what to do, instead of following a fixed menu of answers.
Resolution depends on access. An agent that can only read your help articles will answer questions; one connected to order, billing and account systems can actually fix problems. Every connection adds risk, so decide which actions the agent may take on its own, which need a customer's confirmation, and which always go to staff. Refunds, account ownership changes and anything involving payment details usually belong in the last group at first.
Handoff is the part customers remember. Check how the agent recognizes that it is stuck or that a customer is upset, how quickly a person takes over, and whether the person sees the full conversation and what the agent already tried. A clean handoff matters more than a slightly higher automation rate.
What a featured listing costs ยท from $99 a month
Customer service agents for large brands that answer, take actions in back-office systems and hand off to staff.
Support agents for chat, email and voice that follow written procedures and report on what customers ask about.
Customer experience service that pairs AI agents with its own human support staff across chat, email and voice.
Support agent platform that answers customers from help content and connected systems, with copilots for human agents.
Customer service agent for ecommerce and consumer brands that handles order questions and actions in store systems.
Most vendors here let you write procedures in plain language, the way you would brief a new support hire. Keep those procedures in sync with your real policies, and review a sample of conversations every week, including ones the agent marked as resolved. Customers who gave up are often counted as resolved.
Ask how the vendor measures success and whether you can see the raw conversations behind the numbers. Track repeat contacts on the same issue, customer satisfaction on agent-handled chats, and the share of handoffs that needed a full restart.
Language coverage is another check. If your customers write in several languages, test the agent in each one with your real policies, not just greetings and simple questions, and confirm that handoffs reach staff who can read the conversation. Also look at how the agent behaves with angry or confused customers, and with people trying to talk it into a refund or a policy exception. Those conversations decide whether customers trust the channel. Agree in advance which topics the agent must never handle, such as legal threats, safety issues or account security problems, and test that it routes them to a person straight away.
It depends on which systems you connect. With help content only, it answers questions. With order, account and billing access, it can make changes such as starting a return. You decide which actions it may take on its own.
Good setups let customers ask for a person at any point and route the conversation with its full history. Test this path yourself before launch, including outside your staff's working hours.
Look at confirmed resolutions, repeat contacts on the same issue, satisfaction scores on agent-handled conversations and handoff quality. Read a weekly sample of conversations, because a closed ticket is not always a solved problem.
Yes. The agent answers from your articles and procedures, so outdated or conflicting content leads to wrong answers. Many teams clean up their help content as the first step of a rollout.