Decagon

Decagon is an enterprise customer-experience platform for building AI agents that resolve support and service workflows across chat, voice, email and other customer channels. Its Agent Operating Procedures let teams define and iterate agent behavior in natural language while technical teams maintain integrations, security contro Decagon is provided by Decagon and AI Orbit categorizes it under Customer Support. Its structured capability profile includes Text Generation, Agent Workflows, RAG & Knowledge Bases and Integrations; field-level verification may still be pending for some capability mappings.

Decagon is provided by Decagon. AI customer experience company building autonomous support agents for enterprise workflows. Within AI Orbit, the product is cataloged in Customer Support, which describes its primary product category rather than the provider itself.

AI Orbit currently maps Decagon to structured use cases including Customer Support. These are reviewed taxonomy mappings used for discovery and fit; field-level evidence may still be pending, so they are not presented as independently verified claims. Supporting cataloged capabilities include Text Generation, Agent Workflows, RAG & Knowledge Bases and Integrations.

Yes. AI Orbit has verified official evidence that Decagon provides API access. The API status is tied to a verified provider source on this profile and is not inferred from the product having integrations. API availability can change independently from the consumer product, so production implementations should still be checked against the provider documentation.

No. Verified deployment evidence indicates that Decagon does not currently support self-hosting. Documented deployment modes include SaaS, Cloud and API. Deployment rights, infrastructure requirements and enterprise restrictions should be checked against the provider documentation before production use.

Verified integration evidence on AI Orbit currently includes Amazon Connect, Confluence, Contentful, Intercom, Kustomer and MCP. These are individually source-backed integration records, not a generic assumption based on the product simply advertising integrations. The provider may support additional integrations that have not yet been individually verified in this profile.

Decagon states that conversation data passed to underlying AI providers is subject to zero-data-retention arrangements and is not stored or used by those providers for model training. AI Orbit records the data-training policy as: Customer data not used for training. Decagon documents AES-256 encryption at rest, TLS 1.2+ in transit, RBAC, SSO, short-lived API tokens, PII redaction, audit logging, guardrails, multi-region infrastructure and platform resiliency. These statements reflect the verified provider evidence stored by AI Orbit; policies and certifications can change, so sensitive deployments should re-check the current official documentation.

AI Orbit currently has verified plan-level pricing data for Decagon, including Official pricing / enterprise, Per Conversation and Per Resolution. Exact rates, billing units, limits and verification dates are shown in the pricing section of this profile rather than compressed into a single potentially misleading price. Because providers can change prices and plan limits, check the linked official pricing source before making a purchase or production decision.