Google Vertex AI and Salesforce Integration

90% cheaper with Latenode

AI agent that builds your workflows for you

Hundreds of apps to connect

Enrich Salesforce leads with AI-powered insights from Google Vertex AI. Latenode's visual editor and affordable execution pricing make it easier to automate lead scoring and personalize outreach at scale, with no-code and code options to adjust to any logic.

Swap Apps

Google Vertex AI

Salesforce

Step 1: Choose a Trigger

Step 2: Choose an Action

When this happens...

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Do this.

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

action, for one, delete

Name of node

description of the trigger

Name of node

action, for one, delete

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Try it now

No credit card needed

Without restriction

How to connect Google Vertex AI and Salesforce

Create a New Scenario to Connect Google Vertex AI and Salesforce

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 Salesforce will be your first step. To do this, click "Choose an app," find Google Vertex AI or Salesforce, 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.

+
1

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.

+
1

Google Vertex AI

Node type

#1 Google Vertex AI

/

Name

Untitled

Connection *

Select

Map

Connect Google Vertex AI

Sign In

Run node once

Add the Salesforce Node

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

1

Google Vertex AI

+
2

Salesforce

Authenticate Salesforce

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

1

Google Vertex AI

+
2

Salesforce

Node type

#2 Salesforce

/

Name

Untitled

Connection *

Select

Map

Connect Salesforce

Sign In

Run node once

Configure the Google Vertex AI and Salesforce Nodes

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

1

Google Vertex AI

+
2

Salesforce

Node type

#2 Salesforce

/

Name

Untitled

Connection *

Select

Map

Connect Salesforce

Salesforce Oauth 2.0

#66e212yt846363de89f97d54
Change

Select an action *

Select

Map

The action ID

Run node once

Set Up the Google Vertex AI and Salesforce 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.
5

JavaScript

6

AI Anthropic Claude 3

+
7

Salesforce

1

Trigger on Webhook

2

Google Vertex AI

3

Iterator

+
4

Webhook response

Save and Activate the Scenario

After configuring Google Vertex AI, Salesforce, 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 Salesforce integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Salesforce (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 Salesforce

Salesforce + Google Vertex AI + Slack: When a record is updated in Salesforce, analyze the record's text fields for sentiment using Google Vertex AI. If the sentiment is negative, send a notification to a designated Slack channel.

Salesforce + Google Vertex AI + Google Sheets: On creation of a new record in Salesforce, use Google Vertex AI to generate a summary of key sales insights from the record's data. Log the summary, along with key record details, into a Google Sheet for reporting purposes.

Google Vertex AI and Salesforce 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.

About Salesforce

Sync Salesforce data with other apps using Latenode. Automate lead qualification and task creation based on CRM events. No more manual data entry: build workflows that trigger actions across your stack. Use Latenode's visual editor and flexible scripting to create custom logic and scale automation without code limits.

Related categories

See how Latenode works

FAQ Google Vertex AI and Salesforce

How can I connect my Google Vertex AI account to Salesforce using Latenode?

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

Can I automatically enrich Salesforce leads using Vertex AI insights?

Yes, you can! Latenode allows you to automate lead enrichment, adding valuable AI-driven data from Vertex AI directly into Salesforce, improving lead scoring and personalization.

What types of tasks can I perform by integrating Google Vertex AI with Salesforce?

Integrating Google Vertex AI with Salesforce allows you to perform various tasks, including:

  • Analyze customer sentiment from Salesforce data using Vertex AI.
  • Automatically classify and route support tickets using AI models.
  • Generate personalized marketing content based on customer data.
  • Predict sales opportunities and prioritize leads with AI scoring.
  • Extract key information from customer interactions for better CRM insights.

Can I use custom Vertex AI models within my Salesforce workflows?

Yes, Latenode supports integrating your custom Vertex AI models directly into your Salesforce automation flows, providing tailored AI solutions.

Are there any limitations to the Google Vertex AI and Salesforce integration on Latenode?

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

  • Rate limits for both Google Vertex AI and Salesforce APIs apply.
  • Complex data transformations may require custom JavaScript coding.
  • Real-time data processing depends on network latency.

Try now