Does Zendesk use OpenAI? The full 2026 story

Kenneth Pangan
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Kenneth Pangan

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Katelin Teen

Last edited January 12, 2026

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Does Zendesk use OpenAI? The full 2026 story

With all the buzz around AI, it’s a question we hear all the time: are the big players like Zendesk actually using tools like OpenAI? The short answer is yes, they are. And it’s a powerful combination that provides a robust foundation for your support strategy in 2026.

This guide will break down exactly how Zendesk uses OpenAI, walk through the impressive features of its built-in approach, and touch on the considerations for trying to build your own integration. Most importantly, we'll show you how to bring additional AI flexibility into your Zendesk workflow to expand your capabilities.

How Zendesk uses OpenAI: The official partnership

Zendesk has an official partnership with OpenAI to significantly enhance their AI features for customer support. Before you assume "Zendesk AI" is just ChatGPT with a different logo, you should know it's actually a sophisticated hybrid model.

They combine their own in-house models, trained on a massive amount of their own customer service data, with powerful language models from partners, including OpenAI. This setup lets Zendesk bake advanced generative AI features right into its world-class platform.

Here are a few of the key things they highlight from this partnership:

Zendesk is also a leader in security, noting they use endpoints with OpenAI that don't retain data and offering data storage options in the EU. This gives users a high baseline of trust and reliability.

How Zendesk uses OpenAI within its platform

Zendesk weaves AI directly into its products, like AI Agents and Copilot. This gives you a smooth, unified experience if your team lives and breathes Zendesk all day.

The perks of a built-in AI solution

The biggest selling point of a native tool is pure convenience. The AI is already there in the agent workspace, so there’s no need to jump between different tabs or apps. Everything from tickets to AI settings is handled in one place. It’s built to work with Zendesk data from the get-go, offering features like smart ticket routing and self-service tools right away.

Considerations for scaling your AI ecosystem

While a built-in solution is incredibly powerful, many teams look for ways to extend its reach as their knowledge base grows.

  • Focusing on internal knowledge. Zendesk AI is exceptionally strong at using information that’s stored inside Zendesk, like your help center articles. For companies that also rely on info scattered across Google Docs, Confluence pages, or Slack threads, adding a complementary integration can help bring all that knowledge together.

  • Leveraging streamlined workflows. Zendesk provides reliable, pre-set workflows that work for the majority of support scenarios. For teams that want to create very specific custom rules for how to escalate a ticket or connect to niche tools, options like eesel AI can act as a helpful addition.

  • A unified suite approach. Zendesk's AI provides incredible value when you've fully adopted their comprehensive product suite. It’s an industry-leading ecosystem, and for teams that want to bridge their Zendesk data with other external tools, a flexible AI layer can make that integration even smoother.

The headache of building your own integration

After seeing the power of native tools, some tech-savvy teams start thinking about building their own integration. While that route offers customization, it’s full of serious hurdles that make it a non-starter for most companies compared to using a mature platform like Zendesk.

The typical ways people try to build it

There are generally two paths teams take when trying to connect Zendesk and OpenAI themselves:

  1. Using middleware tools: Platforms like Make.com or n8n.io let you visually connect Zendesk and OpenAI’s APIs. You can set up rules like "When a new Zendesk ticket comes in, send it to OpenAI to get a draft response."

  2. Coding it from scratch: This means writing your own code to directly interact with the Zendesk and OpenAI APIs. It’s a powerful option but requires dedicated developers to build and maintain it.

Why going custom is usually a bad idea

Building your own integration can seem appealing, but it often turns into a resource-draining project.

  • It’s complicated and breaks easily. Custom builds are fragile. One tiny update to an API on either side can bring your whole system down, requiring developers to fix it immediately.

  • It doesn't scale well. As support needs grow, handling things like new knowledge articles or updates becomes difficult. A reliable AI needs to sync with your knowledge sources automatically, which is a feature already built into platforms like Zendesk and eesel AI.

  • It introduces security risks. Passing sensitive customer data through your own scripts or other middleware tools can open up security holes. <quote text="Another Reddit user pointed out that security and data policies are "a main concern for a lot of companies."" sourceIcon="https://www.iconpacks.net/icons/2/free-reddit-logo-icon-2436-thumb.png" sourceName="Reddit" sourceLink="https://www.reddit.com/r/Zendesk/comments/1i0mxpc/i_connected_zendesk_to_openaichatgpt_assistant/"> It's incredibly difficult for a homegrown solution to match the enterprise-grade security standards of a platform like Zendesk.

  • You miss out on advanced features. DIY solutions often lack helpful reporting, simulation engines to test performance, or the ability to automatically generate help articles. This is why most teams prefer a dedicated platform.

A better approach with a plug-and-play AI layer

What if you could have the flexibility of a custom setup with the reliability of a mature tool? That's where a plug-and-play AI layer comes in. It sits on top of the tools you already use, like Zendesk, bringing all your knowledge together to automate support where you need it most.

Go live in minutes, not months

Instead of a multi-week custom project, eesel AI offers a one-click integration with Zendesk. You can sign up, connect your help desk, and see how the AI performs immediately. It’s a fast way to add an extra layer of capability to your existing Zendesk setup.

Instantly connect all your knowledge

eesel AI is designed to complement Zendesk by connecting to all your company's sources of truth. It can pull from your Zendesk help center while also looking at documents in Google Docs, Confluence, and Notion. This gives your support ecosystem the full story, allowing for accurate, context-rich answers.

Get full control and test everything first

With eesel AI's simulation mode, you can test your setup on real historical tickets before it ever talks to a customer. This lets you forecast things like resolution rates with real data.

Plus, you get a customizable workflow engine that works alongside Zendesk. You can decide exactly which tickets the AI should handle and what tone of voice it should use, even automatically tagging and escalating tickets within your Zendesk workspace.

When you stack it all up, the path is clear. Zendesk AI is a powerful, enterprise-grade solution that sets the industry standard. By adding a plug-and-play tool like eesel AI, you can further customize your experience and connect all your knowledge sources without needing a single line of code.

This video demonstrates an AI assistant inside Zendesk that offers a powerful alternative to the native Zendesk AI.

What's the bottom line?

Yes, Zendesk uses OpenAI, and they do it in a way that provides immense value and security for support teams. For teams that want to maximize this power, the goal is often finding the best way to integrate it into their specific knowledge ecosystem.

Zendesk provides the most robust and trusted platform in the industry. For those with highly distributed information, adding a complementary tool can help bridge any gaps.

A plug-and-play AI layer like eesel AI is a great way to enhance your Zendesk experience. It pulls in all of your scattered company knowledge and gives you the power to automate support on your own terms.

Experience how a dedicated, flexible AI platform can support your team alongside Zendesk.

Start your eesel AI setup for free and see how it performs on your real ticket data in minutes.

Frequently asked questions

Zendesk employs a hybrid AI model. While they partner with OpenAI for powerful language models, they also integrate their own in-house models, trained on extensive customer service data, to power their generative AI features.

Within Zendesk, the integrated AI helps with summarizing tickets, drafting knowledge base content, expanding agent replies, and powering smarter AI agents that can understand context and handle tasks. These features aim to enhance agent efficiency.

Zendesk's native AI is highly optimized for information stored within Zendesk itself, like your help center. For teams with knowledge across many external platforms like Google Docs or Slack, adding a complementary AI layer can help unify that information.

Zendesk states they use specific OpenAI endpoints that do not retain data, and they offer data storage options within the EU. This provides a baseline for security, which is a major benefit of using their established platform.

Zendesk offers streamlined, reliable pre-set workflows to ensure ease of use. For teams requiring highly specialized customization or custom actions for non-Zendesk tools, complementary integrations can offer additional layers of control.

Yes, a plug-and-play AI layer like eesel AI offers a flexible way to build on your existing setup. It integrates seamlessly with Zendesk while also connecting to other company knowledge sources to provide additional workflow options.

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Kenneth Pangan

Writer and marketer for over ten years, Kenneth Pangan splits his time between history, politics, and art with plenty of interruptions from his dogs demanding attention.