PandaDoc and AI Agent Integration

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Automate document creation: Use AI Agent to populate PandaDoc templates with dynamic, personalized content. Latenode’s visual editor and affordable execution-based pricing make document automation scalable and cost-effective.

Swap Apps

PandaDoc

AI Agent

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PandaDoc and AI Agent

Create a New Scenario to Connect PandaDoc and AI Agent

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – 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 AI Agent will be your first step. To do this, click "Choose an app," find PandaDoc or AI Agent, 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.

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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.

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Run node once

Add the AI Agent Node

Next, click the plus (+) icon on the PandaDoc node, select AI Agent from the list of available apps, and choose the action you need from the list of nodes within AI Agent.

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AI Agent

Authenticate AI Agent

Now, click the AI Agent node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI Agent settings. Authentication allows you to use AI Agent through Latenode.

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Configure the PandaDoc and AI Agent Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the PandaDoc and AI Agent 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 don’t 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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Save and Activate the Scenario

After configuring PandaDoc, AI Agent, and any additional nodes, don’t 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 “Run once” and triggering an event to check if the PandaDoc and AI Agent integration works as expected. Depending on your setup, data should flow between PandaDoc and AI Agent (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 AI Agent

PandaDoc + AI Agent + Slack: When a PandaDoc document status changes (e.g., signed), the AI Agent summarizes the document content. The summary is then sent to a dedicated Slack channel.

HubSpot + AI Agent + PandaDoc: When a new contact is created in HubSpot, the AI Agent uses this contact data to draft a personalized PandaDoc proposal from a template. The PandaDoc document is then created.

PandaDoc and AI Agent 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 – saving time and ensuring data accuracy across systems. Scales easily.

About AI Agent

Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.

See how Latenode works

FAQ PandaDoc and AI Agent

How can I connect my PandaDoc account to AI Agent using Latenode?

To connect your PandaDoc account to AI Agent 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 AI Agent accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically summarize PandaDoc proposals with AI Agent?

Yes, you can! Latenode allows you to trigger AI Agent to summarize new PandaDoc proposals, providing quick insights and saving your team valuable time.

What types of tasks can I perform by integrating PandaDoc with AI Agent?

Integrating PandaDoc with AI Agent allows you to perform various tasks, including:

  • Automatically extract key data points from completed PandaDoc documents.
  • Use AI Agent to personalize proposals before sending them via PandaDoc.
  • Trigger AI-powered follow-up actions based on proposal status changes.
  • Analyze PandaDoc document content using AI Agent for sentiment analysis.
  • Generate custom reports based on combined PandaDoc and AI Agent data.

Can I use JavaScript code within PandaDoc and AI Agent automations?

Yes, Latenode allows you to incorporate custom JavaScript code to enhance your PandaDoc and AI Agent workflows for advanced logic.

Are there any limitations to the PandaDoc and AI Agent integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Real-time updates might experience slight delays due to API call frequency.
  • Complex AI Agent requests may consume more automation credits.
  • Custom JavaScript code requires a basic understanding of scripting.

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