You don’t search for Decagon alternatives unless something isn’t clicking. Maybe the rollout is taking longer than expected. Maybe the price feels heavy for what you’re using. Or maybe you just want an AI support tool you can shape without weeks of back and forth.
Decagon is strong at handling complex, enterprise-grade support. But that also means it’s not always the right fit for lean teams, fast-moving products, or setups that need flexibility more than depth.
We’ve put together a list of the best alternatives and compared them across features, pricing, and user reviews. For each tool, we’ve called out what it does well and where it falls short, based on actual customer experiences.
One thing worth keeping in mind: there’s no single “best” option here. The right choice depends on how your team works today and what you’re trying to improve or prioritize.
Here's a table for a quick sneak peek:
Ayudo
Voice + chat AI with multi-agent workflows
Multi-agent, Omnichannel
Usage-based (custom)
Zendesk
Large-scale ticket-based support
Ticketing, Automation
From $19/agent/month
Freshdesk
Unified helpdesk with built-in AI
Ticketing, Freddy AI
From $19/agent/month
Ada
AI-first resolution without scripting
AI resolution, Playbooks
Custom pricing
Sierra
Enterprise-grade empathetic AI agents
Empathetic AI, Governance
Custom pricing
Fin by Intercom
AI resolution inside Intercom
Accuracy, AI engine
$0.99 per resolution
Gorgias
Ecommerce support teams
Ecommerce context, Automation
From $10/month
Kore.ai
Custom enterprise AI bots
Custom bots, Automation
Custom pricing
Yellow.ai
Multilingual AI support at scale
Multilingual, Omnichannel
Custom pricing
Voiceflow
Designing AI voice & chat flows
Visual builder, Prototyping
From $60/month
Each tool was picked based on:
Off with the first one in the lot!
Best for multi-agent AI support across voice and chat

Ayudo uses a multi-agent AI system to handle conversations across text and voice from almost any channel, including email, phone, Slack, Discord, WhatsApp, or WeChat.
Its core feature is the Proactive Copilot, an AI assistant that sits on top of every support conversation. Agents can talk to the Copilot to get things done, from proactive suggestions and recommended replies to updating customer status or Shopify orders.
Want to know how it actually works? Take Ayudo for a quick run and see how it clicks!

Zendesk was founded in 2007 by three friends who wanted to create simple, usable, and accessible software for customer support while making the customer experience a little bit less painful and frictionless. Conversations from every channel live in one place, AI suggests what to do next, and workflows can be built to match how your team actually works.

Freshdesk is a helpdesk and support platform developed by Freshworks that brings all customer conversations into one workspace. Its built-in AI called Freddy is designed to resolve common queries, automate repetitive work, and help agents spot trends in support metrics.

Ada is an AI customer service platform built as a way to give teams a smarter alternative to rule-based chatbots by using real AI agents that can reason and resolve issues. It works in 50+ languages and connects with key business systems so support feels personal no matter where it comes from.

Sierra, launched in 2023 by Bret Taylor and Clay Bavor, has quickly become a go-to for companies that need help at scale. Instead of simple scripts, Sierra’s agents can understand context, take action like looking up orders or updating CRM records, and keep conversations natural and empathetic.

Fin is Intercom’s AI customer service agent powered by a custom Fin AI Engine. It was designed to resolve even complex questions by learning from your knowledge base, policies, and systems. The platform works with your existing helpdesk or as part of the Intercom suite.

Gorgias is a helpdesk built with e-commerce in mind. It started by focusing on Shopify stores, but today it also supports platforms like Magento and BigCommerce. What sets it apart is how it connects directly to your store data, so support agents don’t have to guess what’s in an order or customer history. When a ticket comes in, the agent can instantly see order details, shipping status, customer value, and more.

The platform lets teams design, test, and deploy intelligent bots that understand natural language and integrate deep into backend systems. This means your bots can do more than answer questions. What makes Kore.ai stand out is how much you can customize and extend its AI bots, whether for support chat, voice assistants, or internal workflows.

Yellow.ai is a conversational AI platform built on multi-LLM architecture, designed to automate customer interactions on a global scale. It supports more than 35 channels and 135+ languages, so you can reach customers wherever they prefer to communicate.

Voiceflow started as a way for designers, product teams, and developers to design both voice and chat experiences visually. Unlike tools that only handle support replies, Voiceflow focuses on designing and testing full AI conversations that can work across voice assistants, web chat, messaging apps, and custom apps.
When you look at these tools side by side, a pattern shows up pretty quickly. Most teams don’t start searching for Decagon alternatives because something is broken. They start when the tool no longer matches how they want to run support.
For many teams, the decision to switch comes down to a few key factors.
Decagon is built for large enterprise deals. In practice, that means onboarding usually starts at around $120,000 in annual contract value. For growing teams or companies testing AI support for the first time, that price tag can feel heavy. Sierra follows a similar enterprise-only pricing approach, which puts both tools out of reach for many mid-market teams.
There can be limitations in terms of flexibility when building complex workflows. On top of that, the current AI agent experience is not very self-serve. Teams often need hand-holding to make changes, which slows things down if you want to experiment or iterate quickly.
Some teams may realize they need deeper integrations, faster setup, or more control over how AI fits into their existing tools. When that flexibility is missing, even a strong platform can start to feel restrictive.
You have to think about what really matters for your team:
Keep these in mind so you can pick one that works for your workflow and fits the way you work.
While you’re at it, and if you’re confused, you could also take Ayudo for a quick spin. Why don't you see for yourself how its multi-agent AI handles chats and calls? And maybe, it can actually make your team’s day a bit easier! No pressure, just a feel for how it works in real life.
Many teams start looking around when Decagon’s pricing feels too steep or its onboarding takes longer than expected. Others find they want more control over how workflows are built, easier customization, or simpler integrations with the tools they already use. Some alternatives also make it easier to experiment without needing heavy setup or engineering support.
Think about four things first: cost and how quickly you can get started, how easy it is to customize workflows, whether the platform works across all the channels your customers use, and whether your agents feel comfortable using it every day. If a tool checks those boxes for you, it’s worth a closer look.
Not always. Some tools focus mainly on web chat and email first, while others also include phone, SMS, or messaging apps. For instance, Ayudo supports conversations from email, phone calls, Slack, Discord, WhatsApp, WeChat, and more, and it handles both text and voice in the same system. When you compare alternatives, make sure the channels you rely on are actually supported by the tool you’re considering.
That depends on the platform you choose. Most alternatives offer ways to import past conversations, archive tickets, or sync with your current helpdesk or CRM. Before switching, double-check how migration works so you don’t lose context that matters to your support team.
Yes. Many tools on this list offer free trials, demos, or starter plans so you can test them with your real workflows. It’s actually important to try and see how they handle your use cases before jumping straight into a long contract.