Google AI and Process Street Integration

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Google AI

Process Street

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AI and Process Street

Create a New Scenario to Connect Google AI and Process Street

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 AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AI or Process Street will be your first step. To do this, click "Choose an app," find Google AI or Process Street, and select the appropriate trigger to start the scenario.

Add the Google AI Node

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

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Configure the Google AI

Click on the Google AI node to configure it. You can modify the Google AI 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 Process Street Node

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

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Authenticate Process Street

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

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Configure the Google AI and Process Street 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 Google AI and Process Street 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 AI, Process Street, 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 AI and Process Street integration works as expected. Depending on your setup, data should flow between Google AI and Process Street (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google AI and Process Street

Process Street + Google AI + Slack: When a Process Street workflow run is completed, its data is sent to Google AI (Gemini) to generate a summary. This summary is then posted in a designated Slack channel for team review.

Process Street + Google AI + Gmail: Upon completion of a Process Street workflow run, the data is sent to Google AI (Gemini) to generate a summary. This summary is then emailed to stakeholders via Gmail.

Google AI and Process Street integration alternatives

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

About Process Street

Use Process Street in Latenode to run repeatable tasks like onboarding or reports as part of larger workflows. Automatically trigger actions in other apps (CRM, databases) when checklist items are completed, keeping processes moving. This avoids manual updates and ensures audit trails, all at Latenode's execution-based pricing.

See how Latenode works

FAQ Google AI and Process Street

How can I connect my Google AI account to Process Street using Latenode?

To connect your Google AI account to Process Street on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google AI and click on "Connect".
  • Authenticate your Google AI and Process Street accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate task creation in Process Street using Google AI?

Yes, you can! Latenode enables AI-driven workflows that automatically create Process Street tasks based on Google AI insights, saving time and ensuring consistent process execution.

What types of tasks can I perform by integrating Google AI with Process Street?

Integrating Google AI with Process Street allows you to perform various tasks, including:

  • Automatically generating Process Street tasks from Google AI text analysis.
  • Using AI to extract key data from documents and populate Process Street checklists.
  • Creating dynamic checklists based on real-time Google AI model predictions.
  • Triggering Process Street workflows when Google AI detects specific events.
  • Improving process compliance using AI-driven insights and workflow adjustments.

How does Latenode enhance Google AI integration capabilities?

Latenode provides a visual interface and advanced logic, enabling complex Google AI workflows with Process Street using no-code, JavaScript, and AI blocks.

Are there any limitations to the Google AI and Process Street integration on Latenode?

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

  • The number of requests to Google AI is subject to your Google AI subscription plan.
  • Complex AI models may require more processing time, impacting workflow speed.
  • Access to certain advanced AI features may require custom JavaScript code.

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