Decagon deploys autonomous AI agents for enterprise support across voice, chat, and email. Unlike scripted chatbots, our agents use natural language Agent Operating Procedures to reason through complex queries and execute real-world actions like refunds or account updates. We deliver concierge-level support that feels human. Build, test, and scale enterprise-grade agents without requiring a dedicated engineering sprint for every update.
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Hunter
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Hey Product Hunt! 👋
I am incredibly excited to share Decagon with you today.
If you have ever had to deal with enterprise customer support, you know the pain. You are either stuck in an endless loop with a "dumb" bot that cannot solve your problem, or you are waiting hours for a human who is buried in a support queue. The technology to fix this has existed, but the implementation has been a nightmare.
We built Decagon to change that. Instead of forcing companies to spend months building rigid, brittle chatbot flows, we built an AI concierge platform. The core differentiator is our Agent Operating Procedures (AOPs). We allow non-technical support teams to define how the agent should think and act using natural language, while giving engineers the control and observability they need to ensure it is secure and accurate.
Decagon does not just "chat." It connects directly to your core systems—CRM, billing, and ticketing—to actually resolve the ticket end-to-end. Whether it is processing a refund, updating a subscription, or handling a complex shipping update, our agents act on your behalf to solve the problem, not just acknowledge it.
We have spent the last year scaling this with some of the largest enterprises in the world, and today, we are opening this up to help more teams turn support from a cost center into a growth driver.
I would love to hear your thoughts on the platform. If you have been struggling to scale your own support operations or finding that "AI support" is still falling short of real-world needs, let me know in the comments below.
Over to you!