Decagon

Decagon is an AI customer service platform that lets enterprises deploy agents which resolve support conversations over chat, email and voice. Founded in 2023, it stands out for Agent Operating Procedures, a way of writing agent workflows in plain language that support and operations staff can read and edit, while engineers handle the integrations underneath. It also bundles testing and QA tooling, which many support automation products leave to the customer.

What is Decagon used for?

Companies use Decagon to automate a large share of incoming support contacts and to keep the quality of those automated answers under control. Typical deployments cover account questions, billing, troubleshooting and order changes.

• Writing Agent Operating Procedures that describe multi-step workflows like refunds or plan changes
• Answering customers in web chat, replying to support email and handling voice calls with one shared brain
• Running simulations at scale before a new procedure goes live
• Running live A/B experiments to compare agent behavior on real traffic
• Monitoring conversations continuously with Watchtower QA and reviewing insights reports
• Serving personal AI agents that contact support on a customer's behalf, with permissions the customer controls

Who Decagon is best for

Decagon is a fit for mid-market and enterprise companies in fintech, travel, software, retail, healthcare, telecom and insurance that handle thousands of support contacts a week. It suits teams that want CX leaders, not only developers, to own the agent's behavior. Small businesses and solo founders should look at self-serve chatbot tools instead, since Decagon is sold through demos and tailored deployments.

Decagon pricing

Decagon does not publish pricing. The site offers a demo request as the only path, and costs depend on volume, channels and integrations, so you need to talk to sales for a quote. There is no free plan or self-serve trial listed as of October 2026.

Limitations to keep in mind

• Without public prices, it is hard to compare total cost against seat-based helpdesk add-ons
• Value depends on connecting the agent to your order, billing or account systems
• AOPs still need clear, current policies; vague procedures produce vague agent behavior
• Not designed for very small teams or low support volumes

Decagon vs alternatives

Robylon offers AI agents that act on requests across email, chat, phone and WhatsApp, and may be quicker to start for mid-sized teams. Tidio is the better pick for small online businesses that want live chat plus an AI agent at a published price. HubSpot Breeze is worth a look if your support already runs in HubSpot and you want agents that use that CRM data directly. Decagon wins when you need an enterprise agent across chat, email and voice with serious testing, QA and experimentation built in.

Tips for getting started with Decagon

Begin with the contact reasons that make up most of your volume and already have written policies. Convert those policies into AOPs first, then run simulations on past conversations before going live. Decide in advance which actions the agent may take on its own, such as issuing refunds under a set amount, and which must go to a person. Review Watchtower flags weekly for the first month.

Decagon FAQ

Is Decagon free?

No. Decagon has no free plan or public pricing; companies request a demo and receive a quote based on volume and channels.

What is Decagon used for?

Decagon is used to automate customer support conversations in chat, email and voice with AI agents that follow natural-language procedures.

Does Decagon handle phone support?

Yes. Decagon offers voice agents that share the same intelligence layer as its chat and email agents, so answers stay consistent.

What is the best alternative to Decagon?

Robylon is a close alternative for multichannel AI support agents, and Tidio suits small businesses that want a cheaper self-serve option.