How to connect Google AI and Google Dialogflow ES
Create a New Scenario to Connect Google AI and Google Dialogflow ES
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 Google Dialogflow ES will be your first step. To do this, click "Choose an app," find Google AI or Google Dialogflow ES, 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.

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

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Google Dialogflow ES
Authenticate Google Dialogflow ES
Now, click the Google Dialogflow ES node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Dialogflow ES settings. Authentication allows you to use Google Dialogflow ES through Latenode.
Configure the Google AI and Google Dialogflow ES 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 AI and Google Dialogflow ES 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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AI Anthropic Claude 3
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Google Dialogflow ES
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Google AI, Google Dialogflow ES, 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 Google Dialogflow ES integration works as expected. Depending on your setup, data should flow between Google AI and Google Dialogflow ES (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 Google Dialogflow ES
Google Dialogflow ES + Google AI + Google Sheets: Detect user intent from Dialogflow conversations, analyze the sentiment using Google AI's Gemini model, and log the sentiment score along with the conversation details in Google Sheets to track customer feedback trends.
Google Dialogflow ES + Google AI + Zendesk: When a conversation is completed in Dialogflow, use Google AI's Gemini model to summarize the conversation. Based on the summary, create a Zendesk ticket for urgent issues that require immediate attention.
Google AI and Google Dialogflow ES 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.
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About Google Dialogflow ES
Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.
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See how Latenode works
FAQ Google AI and Google Dialogflow ES
How can I connect my Google AI account to Google Dialogflow ES using Latenode?
To connect your Google AI account to Google Dialogflow ES 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 Google Dialogflow ES accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate customer service follow-ups using AI?
Yes, you can! Latenode allows seamless data flow to personalize follow-ups, using AI for content generation and smart triggers for timely customer interactions, enhancing support efficiency.
What types of tasks can I perform by integrating Google AI with Google Dialogflow ES?
Integrating Google AI with Google Dialogflow ES allows you to perform various tasks, including:
- Generating personalized responses based on customer chat history.
- Analyzing customer sentiment to route conversations effectively.
- Automating appointment scheduling via natural language processing.
- Creating dynamic FAQ content using AI-powered knowledge bases.
- Building voice-enabled AI assistants for instant support.
How does Latenode simplify Google AI integration?
Latenode offers a visual editor, pre-built components, and JavaScript support, streamlining Google AI integration, reducing coding, and accelerating workflow creation.
Are there any limitations to the Google AI and Google Dialogflow ES integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google AI and Google Dialogflow ES apply.
- Complex AI models require significant processing resources.
- Custom code might be needed for highly specific use cases.