How to Build AI Customer Support Agents with Decagon

AI agents are transforming customer support, and Decagon is built specifically to help companies deploy them. Its agents resolve tickets automatically while keeping humans in the loop for complex cases. Here is how to build AI customer support agents with Decagon.

Connect your helpdesk. Start by linking Decagon to your support stack, such as Zendesk, Intercom, or Salesforce. The platform reads your existing tickets, knowledge base, and product data to understand how you support customers.

Define agent behaviors. Configure how your agent should respond: its tone, boundaries, and when it should escalate. Decagon lets you set clear rules so answers stay on-brand and compliant.

Deploy across channels. Activate your agent on email, chat, and social channels. Decagon resolves common issues like billing and account questions around the clock, reducing response times significantly.

Handle multi-step issues. Decagon agents are designed for complex, multi-step conversations, not just FAQs. They can pull order details, check eligibility, and complete actions end to end.

Set up smooth human handoff. When a conversation requires a person, Decagon transfers the ticket with full context, so your team picks up without recapping.

Monitor quality with analytics. Use built-in QA and analytics to review agent performance and continuously improve. Over time, Decagon helps you resolve more tickets automatically and keep customers happy.