How to connect PandaDoc and OpenAI Responses
Create a New Scenario to Connect PandaDoc and OpenAI Responses
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 PandaDoc, triggered by another scenario, or executed manually (for testing purposes). In most cases, PandaDoc or OpenAI Responses will be your first step. To do this, click "Choose an app," find PandaDoc or OpenAI Responses, and select the appropriate trigger to start the scenario.

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


PandaDoc

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


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OpenAI Responses

Authenticate OpenAI Responses
Now, click the OpenAI Responses node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Responses settings. Authentication allows you to use OpenAI Responses through Latenode.
Configure the PandaDoc and OpenAI Responses 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 PandaDoc and OpenAI Responses 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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AI Anthropic Claude 3
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OpenAI Responses
Trigger on Webhook
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Save and Activate the Scenario
After configuring PandaDoc, OpenAI Responses, 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 PandaDoc and OpenAI Responses integration works as expected. Depending on your setup, data should flow between PandaDoc and OpenAI Responses (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect PandaDoc and OpenAI Responses
PandaDoc + OpenAI Responses + Slack: When a PandaDoc document status changes, the content is sent to OpenAI for summarization. The summary is then posted to a dedicated Slack channel to keep the team informed.
OpenAI Responses + PandaDoc + Google Sheets: Use OpenAI to draft a contract proposal. Send the draft via PandaDoc for signature. Track the document's status changes in a Google Sheet, adding a new row for each status update.
PandaDoc and OpenAI Responses integration alternatives

About PandaDoc
Automate document workflows with PandaDoc in Latenode. Generate, send, and track proposals/contracts without manual steps. Use Latenode to trigger PandaDoc actions from your CRM or database. Parse data, pre-fill templates, and update records when documents are signed β saving time and ensuring data accuracy across systems. Scales easily.
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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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See how Latenode works
FAQ PandaDoc and OpenAI Responses
How can I connect my PandaDoc account to OpenAI Responses using Latenode?
To connect your PandaDoc account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select PandaDoc and click on "Connect".
- Authenticate your PandaDoc and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate personalized document creation based on AI-generated content?
Yes, you can! Latenode allows dynamic content population in PandaDoc templates using AI from OpenAI Responses, saving time and ensuring tailored communication at scale.
What types of tasks can I perform by integrating PandaDoc with OpenAI Responses?
Integrating PandaDoc with OpenAI Responses allows you to perform various tasks, including:
- Automatically drafting proposals with AI-generated introductory summaries.
- Dynamically updating contract terms based on OpenAI Responses' analysis.
- Creating personalized welcome letters with AI-driven content enrichment.
- Generating tailored pricing summaries for each client using AI insights.
- Automating follow-up emails based on document engagement and AI sentiment.
Can I use custom JavaScript to manipulate data between PandaDoc and OpenAI?
Yes! Latenode's code blocks let you transform data from PandaDoc or OpenAI Responses using JavaScript, adding flexibility beyond simple connections.
Are there any limitations to the PandaDoc and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex document formatting in PandaDoc might require custom code.
- The speed of AI processing depends on OpenAI Responses' API load.
- Large document volumes may impact workflow execution time.