Decagon
Enterprise AI support agents
Decagon is an enterprise-grade AI customer service platform that builds and scales AI agents to manage support across chat, email, voice, and SMS channels. Valued at $4.5 billion as of January 2026, Decagon serves major brands including Duolingo, Notion, Dropbox, Affirm, and Hertz with human-like AI agents that remember conversations across channels and execute real tasks like processing refunds and checking orders.
Key Capabilities
Decagon's AI agents resolve customer issues consistently across voice, chat, email, SMS, and custom channels from a single platform. Agent Operating Procedures (AOPs) let teams define agent workflows in natural language to refine behavior and optimize performance rapidly. The platform handles real tasks like processing refunds, checking order status, and updating accounts. Cross-channel memory ensures that if a customer chats and then calls later, the voice agent already has full context from the previous interaction.
Who Should Use Decagon
Decagon is designed for mid-to-large enterprises with significant customer support volumes that need sophisticated AI agents capable of executing real actions, not just answering questions. Companies in tech, fintech, consumer services, and travel with complex support workflows and high customer expectations are ideal candidates.
Getting Started
Getting started with Decagon requires engaging their enterprise sales team for a customized deployment plan. The platform uses Agent Operating Procedures defined in natural language, making it accessible for support operations teams to configure agent behavior without deep technical expertise.
Pricing & Accessibility: Decagon operates on a custom-quote model with contracts typically starting in the six-figure annual range. A $50,000 annual platform fee applies before usage costs, with conversations priced at approximately $0.99 each with volume discounts available.
Why Consider Decagon: Decagon's cross-channel memory, natural language workflow definitions, and ability to execute real customer actions make it one of the most capable enterprise AI support platforms, trusted by leading brands that demand human-like support experiences at scale.
Pros
- Cross-channel memory maintains context across voice chat email and SMS
- Agent Operating Procedures enable natural language workflow configuration
- Executes real actions like refund processing and order management
- Trusted by leading brands including Duolingo Notion and Dropbox
- Single platform manages all customer communication channels
Cons
- Six-figure annual contracts make it inaccessible for smaller companies
- $50,000 platform fee before any usage costs
- No self-service onboarding or transparent pricing
Who is this for?
Automating enterprise customer support across voice chat email and SMS, processing refunds and order modifications through AI agents, maintaining cross-channel conversation context for seamless customer experiences, defining support workflows in natural language with Agent Operating Procedures, scaling customer service for high-growth tech and consumer companies
Frequently Asked Questions about Decagon
How does Decagon's cross-channel memory work?
Decagon remembers conversations across different channels. If a customer starts with a chat conversation and then calls in later, the voice agent already has all the context from the previous chat interaction, providing a seamless experience without the customer needing to repeat information.
What are Agent Operating Procedures (AOPs)?
AOPs let you define agent workflows in natural language, so you can describe how you want the AI agent to behave in specific scenarios without writing code. This makes it easy for support operations teams to refine behavior and optimize performance as business needs evolve.
How much does Decagon typically cost?
Decagon operates on custom quotes with contracts typically starting in the six-figure annual range. There is a $50,000 annual platform fee plus approximately $0.99 per conversation with volume discounts. The platform is designed for enterprise-scale deployments.
Pricing
enterprise
~$50,000/year platform + ~$0.99/conversation
Details
APIYes
Open SourceNo
CollaborationYes
LanguagesMultiple languages
Learning CurveModerate
Integrations
CRM systemshelpdesk platformsorder managementpayment processing
