Connect OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Zendesk integrations
Transform your customer support with AI-powered automation that intelligently categorizes tickets and routes them to the right agents instantly. Reduce response times, improve resolution quality, and scale your operations by connecting OpenAI's ChatGPT with Zendesk through Make's integration platform.

Create a custom workflow
Transform customer support with intelligent automation by connecting OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Zendesk through Make. Let AI-generated content automatically create tickets, update records, and enrich support documentation—eliminating manual data entry while delivering faster, smarter customer service at scale.
Triggers and actions
Connect Zendesk as a trigger and OpenAI (ChatGPT, Sora, DALL-E, Whisper) as an action through Make's automation platform. When OpenAI generates content—whether it's text responses from ChatGPT, transcriptions from Whisper, or images from DALL-E—these outputs trigger automated actions in OpenAI (ChatGPT, Sora, DALL-E, Whisper), such as creating tickets, updating existing tickets with AI-generated responses, adding transcribed voice interactions to customer records, or attaching visual content to support documentation. This integration allows OpenAI's AI capabilities to automatically initiate and populate OpenAI (ChatGPT, Sora, DALL-E, Whisper) actions, optimizing customer support workflows by eliminating manual data transfer between the systems.
How to set up OpenAI (ChatGPT, Whisper) and Zendesk in 5 easy steps
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Access your Zendesk API settings
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Create a new OAuth client in Zendesk
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Configure your OAuth client settings
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Save your Secret credentials
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Complete the connection in Make
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Transform your support operations with AI-powered Zendesk automation
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Intelligent ticket categorization and routing
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Improved customer support efficiency
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Smart agent-expertise matching
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Reduced response and resolution times
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Popular OpenAI (ChatGPT, Whisper) and Zendesk workflows
Connect OpenAI (ChatGPT, Whisper) and Zendesk with Make. Automate manual tasks, sync real-time data, and build more efficient workflows.
Categorize support tickets with ChatGPT and allocate based on agent expertise
Boost your customer support experience by reducing response time using ChatGPT! Categorize tickets seamlessly, allocate them to agents with relevant expertise, and revamp your customer care efficiency.
AI Customer Support Gateway with DeepKeep Firewall
This template adds DeepKeep's AI Firewall as a security wrapper around your customer support chatbot. Incoming messages are scanned for prompt injection attacks and policy violations before reaching the LLM. The AI response is then scanned again before delivery. Clean responses are returned automatically via webhook; flagged responses create a Zendesk ticket for human review. Use case: Any customer-facing AI support bot that handles sensitive queries. Modules: Webhook → DeepKeep Create Conversation → DeepKeep Check Input → OpenAI → DeepKeep Check Input → Router (Webhook Response | Zendesk Create Ticket)
Support
FAQs
How can integrating OpenAI with Zendesk through Make improve my customer support efficiency?
Integrating OpenAI with Zendesk through Make allows you to automate intelligent responses to customer tickets using GPT-4, GPT-4o, or other advanced AI models. You can automatically categorize tickets, generate draft responses based on ticket content, summarize lengthy customer conversations, and even translate messages in real-time. This integration reduces response times, ensures consistent quality in support interactions, and allows your team to focus on complex issues while AI handles routine inquiries. Make's visual automation builder simplifies setting up these workflows, even without coding experience.
What specific automation workflows can I create between OpenAI and Zendesk using Make?
With Make, you can create powerful workflows such as: automatically generating AI-powered ticket responses when new tickets are created, using GPT models to analyze ticket sentiment and priority before routing them to appropriate agents, creating knowledge base articles from resolved tickets using AI summarization, generating follow-up responses based on customer feedback, and using DALL-E to create visual aids for technical support responses. You can also use Whisper to transcribe voice tickets into text for easier processing. Make provides pre-built templates and a drag-and-drop interface to set up these automations in minutes without any programming knowledge.
Is it difficult to set up the OpenAI and Zendesk integration on Make, and do I need technical expertise?
No technical expertise is required! Make provides an intuitive visual interface where you simply connect your OpenAI and Zendesk accounts through secure authentication, then drag and drop modules to create your automation workflows. Make offers ready-to-use templates specifically designed for OpenAI and Zendesk integration that you can customize to your needs. The platform includes detailed documentation, video tutorials, and step-by-step guides. You can start with straightforward automations like auto-tagging tickets using AI and gradually build more complex workflows as you become comfortable. Most users have their first automation running within 15-30 minutes of creating an account.
What are the cost benefits of using Make to integrate OpenAI with Zendesk compared to building a custom solution?
Using Make to integrate OpenAI with Zendesk is significantly more cost-effective than building custom integrations. You avoid hiring developers or development agencies, which can cost thousands of dollars and take weeks or months. Make offers flexible pricing with a free tier to get started, and paid plans scale with your usage. You'll save on ongoing maintenance costs since Make handles all API updates, security patches, and infrastructure management. Additionally, Make's efficiency means you'll optimize your OpenAI API usage by controlling exactly when and how AI calls are made, potentially reducing your OpenAI costs. The time saved by your support team through automation provides immediate ROI, often paying for the integration within the first month.
