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

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

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

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Authenticate FreshBooks
Now, click the FreshBooks node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your FreshBooks settings. Authentication allows you to use FreshBooks through Latenode.
Configure the Google Vertex AI and FreshBooks 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 Google Vertex AI and FreshBooks 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 Google Vertex AI, FreshBooks, 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 Google Vertex AI and FreshBooks integration works as expected. Depending on your setup, data should flow between Google Vertex AI and FreshBooks (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and FreshBooks
FreshBooks + Google Vertex AI + Slack: When a new invoice is created in FreshBooks, analyze the associated information using Google Vertex AI to extract key customer feedback. Then, post a summary of the analysis to a dedicated Slack channel for the team's review.
FreshBooks + Google Vertex AI + Google Sheets: Upon creation of a new invoice in FreshBooks, use Google Vertex AI to categorize the invoice description. Then, track the spending patterns derived from the categorized invoices in a Google Sheets spreadsheet by adding a new row for each invoice.
Google Vertex AI and FreshBooks integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About FreshBooks
Connect FreshBooks to Latenode to automate invoice creation and payment tracking. Trigger actions in other apps (CRM, email) based on FreshBooks events. Centralize accounting data into workflows, use AI to analyze spendings, and get custom notifications – all automated with Latenode's flexible, no-code visual builder.
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FAQ Google Vertex AI and FreshBooks
How can I connect my Google Vertex AI account to FreshBooks using Latenode?
To connect your Google Vertex AI account to FreshBooks on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and FreshBooks accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate invoice creation based on AI project analysis?
Yes, you can! Latenode lets you trigger FreshBooks invoice creation from Google Vertex AI insights. Automate project billing with AI-driven analysis, saving time and ensuring accurate invoices.
What types of tasks can I perform by integrating Google Vertex AI with FreshBooks?
Integrating Google Vertex AI with FreshBooks allows you to perform various tasks, including:
- Automatically generating invoice descriptions based on project analysis.
- Predicting project costs and updating budgets in FreshBooks.
- Analyzing client communications to tailor invoice messaging.
- Identifying overdue invoices based on AI-driven customer scoring.
- Creating personalized payment reminders based on AI insights.
How does Latenode handle Google Vertex AI authentication?
Latenode uses secure OAuth 2.0 for Google Vertex AI, ensuring safe and reliable access to your AI models.
Are there any limitations to the Google Vertex AI and FreshBooks integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits on the Google Vertex AI API may affect high-volume workflows.
- Complex AI models may require more processing time within Latenode.
- Custom FreshBooks fields might need manual mapping initially.