How to connect OpenAI Responses and Freshdesk
Create a New Scenario to Connect OpenAI Responses and Freshdesk
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OpenAI Responses, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Responses or Freshdesk will be your first step. To do this, click "Choose an app," find OpenAI Responses or Freshdesk, and select the appropriate trigger to start the scenario.

Add the OpenAI Responses Node
Select the OpenAI Responses node from the app selection panel on the right.

OpenAI Responses
Configure the OpenAI Responses
Click on the OpenAI Responses node to configure it. You can modify the OpenAI Responses URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Freshdesk Node
Next, click the plus (+) icon on the OpenAI Responses node, select Freshdesk from the list of available apps, and choose the action you need from the list of nodes within Freshdesk.

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Authenticate Freshdesk
Now, click the Freshdesk node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Freshdesk settings. Authentication allows you to use Freshdesk through Latenode.
Configure the OpenAI Responses and Freshdesk Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the OpenAI Responses and Freshdesk Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that donβt require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Freshdesk
Trigger on Webhook
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OpenAI Responses
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Webhook response

Save and Activate the Scenario
After configuring OpenAI Responses, Freshdesk, and any additional nodes, donβt forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking βRun onceβ and triggering an event to check if the OpenAI Responses and Freshdesk integration works as expected. Depending on your setup, data should flow between OpenAI Responses and Freshdesk (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Responses and Freshdesk
OpenAI Responses + Freshdesk + Slack: When a new ticket is created in Freshdesk, OpenAI analyzes the ticket description to understand customer feedback. Based on the analysis, a note is added to the ticket in Freshdesk and a message is sent to a designated Slack channel to notify the relevant team about the new ticket and its sentiment.
Freshdesk + OpenAI Responses + Google Sheets: When a ticket is updated in Freshdesk, OpenAI analyzes the ticket's content for sentiment. This sentiment analysis, along with the ticket ID, is then logged in a Google Sheet to track customer support performance over time.
OpenAI Responses and Freshdesk integration alternatives
About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results β all without code.
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About Freshdesk
Sync Freshdesk tickets with other apps in Latenode to automate support workflows. Update databases, trigger alerts, or generate reports based on ticket status, all without code. Connect Freshdesk to your CRM or marketing tools to close the loop on customer issues. Less manual work, more automation.
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FAQ OpenAI Responses and Freshdesk
How can I connect my OpenAI Responses account to Freshdesk using Latenode?
To connect your OpenAI Responses account to Freshdesk on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Responses and click on "Connect".
- Authenticate your OpenAI Responses and Freshdesk accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize Freshdesk tickets using OpenAI?
Yes, you can! Latenode's visual editor lets you trigger OpenAI Responses to summarize new Freshdesk tickets, saving support agents time and improving response efficiency.
What types of tasks can I perform by integrating OpenAI Responses with Freshdesk?
Integrating OpenAI Responses with Freshdesk allows you to perform various tasks, including:
- Automatically categorizing Freshdesk tickets using AI analysis.
- Generating personalized email responses to customers via OpenAI.
- Translating customer support requests into different languages.
- Identifying urgent tickets needing immediate attention.
- Creating knowledge base articles from resolved ticket summaries.
Can I use custom prompts for OpenAI in my Freshdesk automations?
Yes! Latenode allows you to create and use custom prompts with OpenAI Responses, tailoring the AI's behavior to fit your Freshdesk workflow precisely.
Are there any limitations to the OpenAI Responses and Freshdesk integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of OpenAI Responses and Freshdesk APIs may apply.
- Complex prompt engineering might require some experimentation.
- Large volumes of data processing can impact workflow execution time.