Sold by: Decagon AI
Deployed on AWS
Decagon is the conversational AI platform to build, optimize, and scale AI agents that deliver concierge-level customer experiences across voice, chat, email, and SMS. Leading enterprises like Hertz, Samsara and Chime use Decagon to resolve customer issues end to end - without hold queues, escalations, or copy-paste responses.
4.7
Overview
Every customer deserves a concierge. Decagon makes that possible at scale.
Decagon is the leading conversational AI platform purpose-built for customer experience. AI agents handle real customer issues across voice, chat, email, and SMS - resolving them fully, without deflection or escalation. One agent intelligence layer powers every channel.
Most AI platforms are black boxes. Changing agent behavior means filing a ticket, waiting on an engineer, and hoping the output matches what you needed. Decagon's Agent Operating Procedures (AOPs) let business teams read, understand, and update agent logic in plain language - no SDK, no vendor dependency, no sprint cycle. That transparency compounds into meaningfully lower cost of ownership over time.
Decagon offers a fully white-glove deployment model for teams that want it. The difference is that the build lives in the product, not locked inside proprietary tooling only Decagon can touch. You own it.
Decagon's testing suite spans the full agent lifecycle: simulate conversations before launch, run live A/B tests with Experiments, and monitor 100% of conversations in real time with Watchtower. Duet Autopilot closes the loop - analyzing production signals and proposing validated updates with human approval gates.
Enterprises in retail, financial services, travel, and technology go live in weeks. ClassPass reduced AI support costs by 95%. Hunter Douglas generated $1M in AI-driven revenue. Avis Budget Group, Chime, and Oura Health run on Decagon today.
Highlights
- Omnichannel AI agents, one platform. Deploy across voice, chat, email, and SMS from a single agent intelligence layer. Decagon agents maintain cross-channel memory and handle outbound as well as inbound - with ultra-low latency voice built in.
- Built to iterate, not just deploy. AOPs let business teams update agent logic in natural language without engineering support. Experiments run live A/B tests on real traffic. Watchtower monitors every conversation. Duet Autopilot self-improves agents over time with integrated validation and approval gates.
- Enterprise-grade from day one. Configurable PII redaction across chat and voice. Layered guardrails running before, during, and after every conversation. Git-backed versioning with isolated staging environments. Deployed by leading enterprises in six to seven weeks.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
Platform Access | Decagon platform access. Pricing determined by private offer. | $1,000,000.00 |
Dimensions summary
This listing has one pricing dimension: Platform Access, measured in Units. Your price is set through a private offer rather than a published rate. This means you negotiate terms directly with the vendor, and pricing is customized to your deal. There are no separate tiers, instance sizes, or usage add-ons to choose from on the Marketplace. You buy access to the platform under a contract, and the private offer defines your unit quantity, commitment term, and total cost.
Top-of-mind questions for buyers
The Marketplace lists Platform Access measured in Units, with the exact meaning set through your private offer. The offer defines what each unit maps to and how many you receive. Since the platform bills by AI agents handling chat, voice, and email interactions, confirm the unit definition directly with the vendor.
Platform Access covers the conversational AI platform. You can build agents with Agent Operating Procedures in natural language, test and version workflows, and monitor performance. It supports chat, voice, and email in one layer. Pre-built integrations connect to CRMs, help desks, call centers, and knowledge bases with no custom code.
Pricing is set through a private offer, not a published rate. You negotiate directly with the vendor. The offer defines your unit quantity, commitment term, and total cost. There are no separate tiers or usage add-ons to select on the Marketplace. Contact the vendor to size units to your expected support volume.
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Resources
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Support
Vendor support
Support available via email for sales at sales@decagon.ai and customer support at support@decagon.ai .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Sumedha R.
AI-Driven Customer Support with Room for Improvement
Reviewed on Aug 21, 2026
Review provided by G2
What do you like best about the product?
I like how Decagon combines AI with practical customer-support workflows. It stands out for its ability to automate repetitive requests, respond quickly to customers, and handle support tasks with consistency that's hard to maintain manually. It's valuable because it goes beyond simply answering questions, automating routine support tasks and providing fast, consistent responses, which help in reducing the workload on support agents. The initial setup was fairly straightforward, and the platform was intuitive enough to get started without a lot of friction.
What do you dislike about the product?
I think Decagon should improve the balance between automation and human support. While it's effective for routine requests, more complex or unusual customer issues may still require human intervention, and making those handoffs even smoother could improve the experience.
What problems is the product solving and how is that benefiting you?
I use Decagon for AI-powered customer support automation, solving high support volume and slow response times by automating repetitive questions and routine requests, which gives customers faster answers and reduces the workload on support agents.
CA Rahul B.
Boosts Efficiency with Quick Resolutions
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
I appreciate Decagon's efficiency and quick resolutions. It really helps to streamline the resolution process for companies receiving multiple customer service requests.
What do you dislike about the product?
If I notice any problems or mistakes in company policies, I find that the resolutions provided by Decagon might not be proper and correct. Also, I find the setup quite complex.
What problems is the product solving and how is that benefiting you?
I use Decagon to handle customer service requests efficiently, solving problems faster with AI agents. It streamlines resolutions according to company policies, improving response times.
LOKESH G.
Decagon Streamlines Support with Personalized AI Automation
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
I like Decagon’s ability to use AI agents to automate customer support while still delivering a personalized experience. It handles repetitive customer questions efficiently, integrates smoothly with existing support workflows, and helps support teams resolve issues faster while reducing the amount of manual work involved.
What do you dislike about the product?
The main thing I dislike is that setting up and customizing the AI agents can take a while, especially when I need them to handle complex or highly specific customer scenarios. I’d like more flexible customization options, an easier configuration process, and clearer visibility into agent performance, as those improvements would make the overall experience better.
What problems is the product solving and how is that benefiting you?
Decagon helps solve the challenge of handling large volumes of customer support requests efficiently. It automates repetitive questions and workflows, provides faster responses, and reduces the manual workload on support teams. This helps improve response times, maintain consistent support quality, and allow teams to focus on more complex customer issues.
Jatin K.
Fast, Reliable Responses for Every Customer Request
Reviewed on Aug 13, 2026
Review provided by G2
What do you like best about the product?
It's proper response to customer for every request and handles everything
What do you dislike about the product?
It may make mistakes or misunderstand unusual customer problems , so a human support agents may be still be needed
What problems is the product solving and how is that benefiting you?
Thousands of customer support questions , many of which are repetitive . Handling all then with human employee can be slow , expensive and difficult to scale and yeah mainly for buisnesses with large customer support volumes
Krishan Y.
AI-Powered Automation, Excellent Support Experience
Reviewed on Aug 12, 2026
Review provided by G2
What do you like best about the product?
I like that Decagon combines automation with a good customer experience. It handles a large volume of routine requests quickly while giving our team the flexibility to step in when human attention is needed. It saves time, improves consistency, and is relatively easy to manage. The initial setup was really good, and the implementation team provided all the training needed.
What do you dislike about the product?
One area that could be improved is customization. For more complex or less common customer questions, it can take some effort to fine-tune the workflows and make sure the AI responds exactly the way we want. I would also like to see more flexibility in reporting and analytics, so it's easier to measure performance and identify areas where the automation can be improved.
What problems is the product solving and how is that benefiting you?
I use Decagon to automate customer support, handle common requests, and provide quicker, consistent responses. It reduces manual workload, improves response times, and lets my team focus on complex issues.