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.

Enterprise

API

Chrome Extension

Voice

Integrations

B2B

Cloud Hosted

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Recent activity

What's happened with Decagon lately

May 22, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 12/32 → 13/3612 → 13/36(+1)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

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.

What to Know

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...

Key Features

Role-based access control (RBAC)

Single sign-on (SSO) with Okta and Microsoft Entra

Just-in-time API tokens for scoped customer-system access

Voice authentication for end-user verification

Encryption at rest with AES-256

Use Cases

Automating customer support conversations for enterprise support teams

Handling voice-based customer interactions and follow-up calls

Adding authentication and access controls to AI-powered customer workflows

Agenticness: Adaptive Collaborator

Proposes and executes multi-step plans with your approval.

High evidence

Last evaluated: May 22, 2026

Dimension Breakdown

Action Capability

Autonomy

Adaptation

State & Memory

Safety

How agenticness works →

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