AI support agents

An AI support agent answers customers directly, in chat, email, messaging or sometimes voice, before a person gets involved. It reads your help content and, on more advanced setups, connects to systems such as order lookup or account data so it can complete simple tasks as well as explain things. When it reaches the edge of what it can do, it hands the customer to a person with the conversation so far.

The tools in this category are separate products built around that agent. Some, such as Fin, can run on top of a help desk you already use. Others, such as Ada, Decagon, Sierra and Kore.ai, are aimed at larger companies with high volumes and teams who can spend time on setup. Many help desks now include their own AI agent too, so compare a dedicated product with what your current help desk offers before buying a second tool.

Answer quality depends mostly on your content. If your help articles are out of date, the agent will repeat the old answer with confidence. Before launch, clean up the articles for your most common questions, write down the processes you want followed, and decide clearly which topics should always go to a person, such as billing disputes, cancellations or anything involving safety.

Pricing for AI agents is often based on conversations or resolutions instead of seats. Ask exactly how a resolution is counted, what happens when a customer comes back with the same issue, and how you can review or dispute charges. Run a pilot on one channel or one topic first, and read a sample of real conversations every week.

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8 AI support tools in ai support agents

Fin

by Intercom

Intercom's AI agent that answers customer questions from your help content and can run on top of other help desks.

  • AI agent that answers customers
  • Works with Zendesk

Ada

AI customer service agent for larger companies, answering across chat, email and voice and handing off to people.

  • AI agent that answers customers
  • Developer API
  • Works with Zendesk

Decagon

AI agents for customer support that follow written procedures to resolve requests and show how each answer was reached.

  • AI agent that answers customers

Sierra

Conversational AI agents for customer experience at larger brands, working across chat and phone.

  • AI agent that answers customers

Forethought

AI for support teams that answers tickets, triages and routes them, and assists agents inside the help desk.

  • AI agent that answers customers
  • Works with Zendesk

Netomi

AI customer service agents for enterprises, answering email, chat and messaging requests with human escalation.

  • AI agent that answers customers

Yellow.ai

Platform for building AI agents for customer service on chat, voice and email, used by larger companies.

  • AI agent that answers customers

Kore.ai

Enterprise platform for AI agents in customer service and contact centers, plus tools for agents and employees.

  • AI agent that answers customers

Also ask how the agent handles mistakes. You want clear logs, a way to correct answers, controls over what data the agent can see, and a simple path for customers to reach a person.

Measure the agent on outcomes customers notice. Track how many conversations it resolves without a handoff, how often customers come back about the same issue within a few days, and what satisfaction scores look like for AI-handled conversations compared with ones a person handled. A high resolution count means little if the same customers return angry a day later.

Involve the agents who answer tickets today. They know which questions are simple and which only look simple, and they will spot wrong answers faster than anyone. Many teams give one or two experienced agents time each week to review AI conversations and update the guidance.

Questions about ai support agents

Will an AI agent replace our support team?

Usually it takes the repeat questions, such as order status, password resets and basic how-to requests, and leaves the rest to people. Teams that use these tools still need people for complex cases, upset customers and keeping the help content accurate.

How do I keep an AI agent from giving wrong answers?

Keep your help content current, limit the agent to topics it handles well, set rules for when it must hand off, and review conversations regularly. Most tools let you test answers before launch and correct the agent's guidance as you find gaps.

Can an AI agent work with the help desk we already have?

Several can. Fin, Ada and Forethought all connect to common help desks, including Zendesk. Check that handoffs create a proper ticket with the conversation attached, so agents don't have to ask customers to repeat themselves.

Should customers be told they are talking to AI?

Yes. Saying so plainly sets expectations and builds trust, and some places have rules about disclosing automated agents. Give customers an easy way to ask for a person.

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