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Decagon

Decagon is an enterprise AI customer-experience platform for deploying conversational agents that handle support and service workflows across chat, email and voice.

What is Decagon?

Decagon helps enterprises build and operate AI agents that can communicate with customers and interact with connected business systems. Its approach emphasizes configurable agent behavior, integrations, versioning and operational controls across chat, email and voice, with pricing negotiated around usage models such as conversations or resolutions.

Best for: Enterprise support and CX teams that need highly integrated AI agents across several customer-service channels.

Main features

  • AI customer-service agents
  • Chat, email and voice support
  • Agent behavior and workflow configuration
  • Prebuilt and custom integrations
  • Versioning and operational controls
  • API and MCP-based integration options

Use cases

  • Automate customer-service conversations
  • Handle account or order workflows through backend integrations
  • Deploy AI agents consistently across chat, email and voice
  • Escalate complex cases into existing support systems
  • Connect agent actions to internal APIs

Who is it for?

  • enterprise support teams
  • CX organizations
  • contact centers
  • support engineering teams
  • digital operations teams

Pricing and plans

usage-based enterprise pricing, per conversation or per resolution

Check official pricing ↗

Advantages

  • Strong focus on operational enterprise AI agents rather than simple FAQ bots
  • Supports multiple customer-service channels
  • Offers integration through APIs, MCP and prebuilt connectors

Limitations

  • No public list price is provided
  • Commercial deployment is sales-led and pricing varies with usage and negotiated model
  • Successful implementation depends on reliable integration with company knowledge, workflows and backend systems

Review method

Research supplied by the directory editor; not independently verified or hands-on tested for this import. The research date is supplied by the source. Confirm current plans, restrictions and capabilities using the official links below.

Frequently asked questions

How does Decagon price AI agents?

Decagon describes both per-conversation and per-resolution pricing, with rates depending on customer volume and commercial terms; it says many customers choose per-conversation pricing.

Is there a public Decagon starting price?

No public numeric starting price was found in the official pricing material checked, so startingPrice is null.

Can Decagon connect to internal systems?

Yes. Decagon's integration material documents prebuilt integrations as well as APIs and MCP options for connecting agent workflows to external systems.

Sources and verification

Source research date: