Decagon

Decagon builds enterprise AI customer support agents that resolve customer issues across voice, chat, and email through natural-language workflows.

Category

AI Agents & Orchestration

Pricing

custom, usage-based, per-resolution, per-conversation, annual contract

Target Market

Enterprise, Retail, Financial Services, Travel & Hospitality, Health & Wellness, Technology, Media, Telecommunications

Founded

2023

Headquarters

San Francisco, California, USA

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  Agent Operating Procedures (AOPs)

  Natural-language workflow definitions that let teams build and iterate on AI agent behavior without complex configuration languages.

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  Omnichannel deployment

  A single intelligence layer that powers AI agents consistently across voice, chat, and email, with cross-channel memory and personalization.

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  Testing and experimentation

  Live A/B testing and large-scale simulation to validate agent behavior before and during deployment.

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  Analytics suite and Watchtower QA

  Conversation insights, customer intelligence, and continuous quality-assurance monitoring of agent interactions.

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  Knowledge suggestions

  AI-powered recommendations that surface and improve the knowledge base feeding the agents.

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  Automated customer support resolution

  Resolve customer inquiries end-to-end across chat, email, and voice, reducing reliance on human agents and lowering cost per ticket.

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  Concierge-style personalized experiences

  Deliver personalized, brand-consistent interactions that remember context across channels for retail, travel, and consumer brands.

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  Agent quality assurance and optimization

  Use simulation, A/B testing, and Watchtower monitoring to continuously measure and improve resolution quality at scale.

Pricing is not public; quoted custom by sales. Decagon offers per-conversation and per-resolution (outcome-based) pricing. Third-party reports cite annual contracts roughly in the $95K–$590K+ range; not officially confirmed.