Decagon: enterprise AI agents with deep testing

Contents

1. What Decagon does
2. Published evidence
3. Strengths and limits
4. Pricing
5. Questions to ask Decagon
6. Sources

Type	Enterprise AI agents
Pricing	Not published
Website	decagon.ai

Decagon builds AI agents for customer experience at large companies, across voice, chat and email⁠1The AI concierge for every customerDecagon.

Best for: Large consumer brands that want a custom AI agent across voice, chat and email, with strong testing and quality tooling.

Not the right fit for: Mid-sized companies looking for a published price or self-serve setup.

What Decagon does

Workflows for Decagon's agents are written as agent operating procedures and connected to the company's systems through pre-built integrations. Before and after launch, companies can run simulations at scale, live A/B experiments and always-on quality review, and get reporting on what customers are asking⁠1The AI concierge for every customerDecagon. Decagon serves financial services, travel, healthcare, retail, telecoms and insurance, among others⁠1The AI concierge for every customerDecagon.

Published evidence

• Chime. About 70% resolution on chat and voice, more than a million calls a month and a 60% decrease in support costs. Vendor-published case study.⁠2Chime scales member support with AI-powered automationDecagon

Chime's chief operating officer is quoted on cross-channel memory and brand customization, and the case study reports that member satisfaction doubled⁠2Chime scales member support with AI-powered automationDecagon.

Strengths and limits

Strengths

• The deepest testing tooling in this guide: simulations at scale, experiments and always-on QA.
• Named enterprise customers with published figures.
• Voice handled at large scale, according to its Chime case study.

Limits

• Pricing is not published.
• Built for enterprises; no self-serve path.
• Case-study figures are vendor-published.

Choose another option if: You need a published price or want to start without a sales process.

Pricing

Not published.

Questions to ask Decagon

• What does a deployment of our size cost, and on what unit?
• How long from contract to a live agent?
• How are escalations to our people designed and reported?
• Can we run simulations on our own past conversations before signing?

See how Decagon compares with the other agents in the main guide.

Sources

1. The AI concierge for every customer. Decagon. Accessed 8 Nov 2026.
2. Chime scales member support with AI-powered automation. Decagon. Accessed 8 Nov 2026.

Further reading

• Buyer's guide · Updated quarterlyThe best AI customer service agents in 2026An analysis of nine AI agents for customer service, from help-desk add-ons to enterprise platforms, judged on what they can resolve, how they hand over to people and what a resolution costs.
• Guide · Escalation designDesigning escalation from an AI agent to a personThe handoff is where customers decide whether an AI agent helped them. This guide sets out when to escalate, what to pass on and how to know the design is working.
• Guide · Agents and chatbotsAI agent vs chatbot in customer serviceAlmost every vendor now calls its product an agent. The useful distinction is not the label but what the software can do with a customer's records.