Decagon
Enterprise AI agents for customer support and voice workflows
Decagon is a customer support AI platform with voice and guardrails built for enterprise use. It helps teams deploy agents across support workflows with authentication, encryption, audit logs, and resiliency controls.
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About
Decagon is an enterprise AI agent platform focused on customer support and voice-based service workflows. Based on the content provided, it is designed for companies that want to automate or augment customer interactions while keeping security, access control, and reliability in place.
It appears aimed at enterprise support and operations teams rather than individual users. Setup is centered on web-based administration and integrations with identity providers such as Okta and Microsoft Entra, plus connections to external AI providers like OpenAI and Anthropic. The platform also mentions support for voice authentication and customer-system access through scoped API tokens.
Decagon stands out more for enterprise controls than for general-purpose agent building. The security page emphasizes RBAC, SSO, encryption, zero-day retention with LLM providers, PII redaction, audit logs, and guardrails such as bad actor detection, a supervisor model, and conversation QA. The voice product page suggests it can handle real-time customer calls with low latency and personalized responses.
What is less clear from the provided content is the full product surface area, pricing, and whether you can self-host it. It also does not clearly state which underlying AI models it uses beyond integrations with OpenAI and Anthropic. If you do not need enterprise governance or customer-support-specific automation, this may be more platform than you need.
Executes tasks you assign, one step at a time, within narrow domains.
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