Overview
Decagon is an AI customer experience concierge platform built for enterprise customer support teams. It unifies customer interactions across chat, voice, and email into a single intelligence layer to maintain consistent context throughout the support lifecycle.
The platform uses Agent Operating Procedures (AOPs) to define customer support workflows using natural language. Non-technical support teams can author and adapt logic like standard operating procedures, while engineering teams retain control through Git-based versioning.
Decagon includes an automated building partner called Duet that analyzes interaction data to refine agent behavior. Duet generates workflow updates, runs simulation tests on edge cases, and stages recommendations for human review.
Key features
- Agent Operating Procedures: Define AI agent workflows and execution logic using natural language instructions.
- Omnichannel messaging: Connect chat, voice, and email support channels into a single context layer.
- Duet Autopilot: Identify workflow gaps automatically and convert production signals into agent updates.
- Testing and QA: Run automated simulation suites to stress-test agent logic before pushing updates to production.
- Customer analytics: Extract recurring intents, conversation trends, and resolution performance metrics.
- Git-based versioning: Enable engineering teams to manage code changes and track agent revisions.
Pros and cons
Pros
- Enables non-technical teams to adjust support logic without writing code
- Maintains conversation context across chat, email, and voice channels
- Offers automated testing tools to evaluate changes before live release
Cons
- Requires booking a demo or contacting sales to access pricing details
- Enterprise deployments may require technical configuration for complex backend integrations
Best for
- Enterprise support teams
- Customer service leaders
