Decagon

Enterprise AI agents that resolve customer conversations across chat, email and voice

Paiddecagon.aiUpdated 19 Oct 2026

About Decagon

Decagon is an enterprise customer service platform that builds, tests and runs AI agents across chat, email and voice. Companies define how the agent should behave in Agent Operating Procedures (AOPs), which describe workflows in natural language, and connect the agent to their existing systems through pre-built connectors. The agents are meant to resolve customer conversations end to end rather than only deflect them to a help article.

Best for

Large companies with high conversation volume that want AI agents handling chat, email and voice with testing and QA built in
Chat Resolution: Resolving routine customer questions in chat, as Chime reports with 70% chat and voice resolution.
Voice Support: Handling inbound phone calls with AI voice agents, such as the 50%+ voice deflection Valon reports.
Email Handling: Answering customer emails with context from connected systems.
Support Cost Reduction: Lowering cost per conversation, for example the 65% cost reduction Curology reports.
Agent Tuning: Using Experiments, simulations and Watchtower to refine agent behavior over time.

Not ideal for

Small teams or startups needing self-serve signup, published pricing or a free tier

Popular with

Customer Support Leaders
CX Operations Teams
Enterprise Support Organizations
Contact Center Managers

Screenshots

Key features

Agent Operating Procedures (AOPs)
Voice, Chat and Email Agents
Pre-built Integrations
Experiments
Testing & QA
Watchtower
Insights & Reporting
Suggestions
Duet
Personal Agent Detection

Pros and cons

Pros

Covers voice, chat and email in one platform rather than chat only.
Natural-language AOPs let non-engineers define agent workflows.
Built-in A/B experiments, simulations and always-on QA support ongoing tuning.
Large enterprise customer list including airlines, telecoms and fintech companies.
Offers a per-resolution pricing option where escalations are not charged.

Cons

No published pricing; every deal requires a sales conversation.
No free tier or trial advertised, which limits evaluation by small teams.
Reviewers have noted limited transparency into why the AI made a given decision.
No public API or developer documentation was found on the official site.

Pricing

Plans as listed by the vendor on 19 Oct 2026. Check their site for current prices.

See decagon.ai

Enterprise

Our ratings

Scored out of 10 by the Finder Atlas editorial team.

7.6overall

Ease of Use: 7.5
Feature Depth: 8.7
Value for Money: 6.8
Performance & Speed: 8.0
Documentation & Support: 7.2

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Release history

Jan 1, 2026
Reported $250 million funding round at a $4.5 billion valuation (Bloomberg)
Reported $250 million funding round at a $4.5 billion valuation (Bloomberg).

Reviews

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Frequently asked questions

What channels does Decagon support?

Decagon's agents handle voice, chat and email, managed through a single platform.

How does Decagon charge?

Pricing is not published. Decagon describes per-conversation and per-resolution models, with quotes provided by its sales team.

How are agents configured?

Teams write Agent Operating Procedures, which describe workflows in natural language, and connect them to systems through pre-built connectors.

How can I test an agent before it goes live?

Decagon provides Testing & QA simulations at scale and live A/B Experiments, plus Watchtower for ongoing quality monitoring.

Who uses Decagon?

The site names customers such as Deutsche Telekom, American Airlines, Delta Airlines, Notion, Duolingo, Chime, Rippling, Hertz and Oura.

Does Decagon offer a free plan or self-serve signup?

No free plan or self-serve signup is advertised; the site directs visitors to request a demo.

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