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Decagon

An enterprise AI customer support platform built around natural-language 'Agent Operating Procedures,' covering chat, email, and voice, sold exclusively through custom, quote-based contracts.

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What it does

Decagon is an enterprise AI customer support platform that automates conversations across chat, email, and voice using what it calls Agent Operating Procedures (AOPs) — workflows defined in natural language rather than a coded decision tree, aimed at letting non-technical teams build complex support logic without engineering involvement. Alongside AOPs, the platform includes testing and observability tools for iterating on agent behavior and an analytics suite for surfacing patterns across customer conversations.

Decagon is squarely built for large organizations: there’s no self-serve signup or public pricing, deployments go through a guided implementation, and its voice capabilities (sub-second latency, interruption handling, outbound calling) go further than most competitors in this category. That makes it a strong fit for enterprises with complex, multi-system support workflows and the budget to match, but a poor fit for smaller teams wanting to try an AI agent quickly without a sales process.

Ideal users

  • Enterprises with complex, multi-step support workflows and a dedicated CX or ops team to build them
  • Organizations that want non-technical staff defining workflows in plain language rather than coded logic
  • Companies that need strong voice AI alongside chat and email, including outbound calling
  • Teams with the budget and procurement process for a custom enterprise contract, not a self-serve trial

Who should avoid it

  • You want to see pricing or try the product without booking a sales call
  • You're a small or midsize team without a large support volume to justify enterprise-level cost
  • You want a quick, self-serve setup rather than a guided implementation

Key features

  • Agent Operating Procedures (AOPs): natural-language workflow definitions that combine plain-language flexibility with coded-logic precision
  • Decagon Voice with sub-second latency, interruption handling, customizable tone/speed, and branded caller IDs for inbound and outbound calls
  • Testing, observability, and experimentation tools for iterating on agent behavior
  • Analytics suite surfacing customer insights across conversations
  • Knowledge base integrations (Confluence, Contentful, Guru, Zendesk Help Center, Slack, custom databases)
  • Ecommerce integrations (Shopify, Stripe) for order lookup and payment actions

Pros

  • Deep, natural-language workflow definition (AOPs) aimed at non-technical teams building complex logic
  • Genuine voice capability, including outbound calling, not just chat bolted onto a phone line
  • SOC 2 Type II certified with zero-data-retention agreements cited with underlying model providers
  • Backed by significant funding and adopted by large, recognizable enterprise customers

Cons

  • No public pricing, no self-serve signup, and no way to test the product without a sales call
  • Estimated typical contracts run from the tens of thousands into the hundreds of thousands of dollars a year, out of reach for smaller teams
  • Requires a real implementation process rather than a same-day setup
  • Cost structure (platform fee plus custom usage rates) makes apples-to-apples comparison against other vendors difficult

Pricing

Paid — Custom enterprise pricing only — no public rate card

Decagon does not publish pricing or offer self-serve signup; contracts are quoted per customer and typically combine an annual platform fee with usage-based charges per conversation or resolution. Third-party estimates suggest typical enterprise deals range from the tens of thousands to several hundred thousand dollars a year depending on volume — treat these as unverified secondhand estimates and get a direct quote from Decagon before budgeting.

Typical workflows

  • An enterprise support team works with Decagon's implementation team to translate its most common multi-step procedures (subscription changes, order disputes, account verification) into Agent Operating Procedures, then rolls the agent out across chat and email before adding voice.
  • A retail or travel brand deploys Decagon Voice for inbound customer calls, using its knowledge base and Shopify/Stripe integrations to look up orders and process changes without a human agent picking up first.

Integrations

  • Confluence, Contentful, Guru (knowledge base sources)
  • Zendesk Help Center and Slack
  • Shopify and Stripe for order and payment lookups
  • Custom databases via API

Privacy & security notes

Decagon is SOC 2 Type II certified and GDPR compliant, with HIPAA options (including BAAs) available for healthcare customers; documentation is published at Decagon's Trust Center (trust.decagon.ai). The company states it enforces zero-data-retention agreements with the underlying model providers it uses, so conversation data isn't stored or used for training outside your account, and sensitive data can be automatically detected and redacted from logs and transcripts shortly after a conversation ends.

Frequently asked questions

Can I try Decagon or see pricing without talking to sales?

No. Decagon has no self-serve signup or public pricing page; every engagement starts with a sales conversation and a custom quote, which is typical of enterprise-focused platforms in this category but a real difference from self-serve options like Intercom Fin or Tidio.

What is an 'Agent Operating Procedure'?

It's Decagon's term for a workflow defined in natural language rather than a coded decision tree — intended to let non-technical support or ops staff describe a multi-step process (like verifying an account before processing a refund) in plain English while still getting the precision of coded logic.

Does Decagon support phone support, or just chat and email?

Decagon Voice supports both inbound and outbound calls with low-latency, interruptible conversation and branded caller ID, in addition to chat and email — voice is a first-class channel, not an afterthought.

How much does Decagon typically cost?

Decagon doesn't publish pricing. Public reporting and industry estimates describe a model combining an annual platform fee with custom per-conversation or per-resolution rates, with typical enterprise contracts estimated from the tens of thousands to several hundred thousand dollars a year — but these are secondhand estimates, not confirmed list prices, so get a direct quote for your own volume.

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