Moxie and Google Chat Integration

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Connect Moxie to Google Chat to instantly share key customer insights with your team. Latenode's visual editor simplifies setup and scales affordably as your support volume grows. Use JavaScript for advanced message formatting or routing.

Swap Apps

Moxie

Google Chat

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Moxie and Google Chat

Create a New Scenario to Connect Moxie and Google Chat

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

Add the Moxie Node

Select the Moxie node from the app selection panel on the right.

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Moxie

Configure the Moxie

Click on the Moxie node to configure it. You can modify the Moxie 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 Google Chat Node

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

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Authenticate Google Chat

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

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Configure the Moxie and Google Chat 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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Select an action *

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The action ID

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Run node once

Set Up the Moxie and Google Chat 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 Moxie, Google Chat, 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 β€œRun once” and triggering an event to check if the Moxie and Google Chat integration works as expected. Depending on your setup, data should flow between Moxie and Google Chat (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Moxie and Google Chat

Moxie + Jira + Google Chat: When a new form submission is created in Moxie, a Jira issue is created and a notification is sent to a Google Chat space.

Moxie + Google Sheets + Google Chat: When a new form submission is created in Moxie, its details are added to a Google Sheet, and a daily summary of new submissions is sent to a Google Chat space.

Moxie and Google Chat integration alternatives

About Moxie

Use Moxie in Latenode to automate data entry and validation workflows. Pull data from multiple sources, use Moxie to clean and standardize it, then push the refined data to your databases or apps. Benefit from Latenode's visual editor and scalable architecture to handle large datasets efficiently without code.

About Google Chat

Use Google Chat in Latenode for automated notifications & alerts. Trigger messages based on events in other apps, like new database entries or payment confirmations. Centralize alerts and status updates across services within a single, scalable Latenode workflow. Add custom logic and AI for smart notifications.

See how Latenode works

FAQ Moxie and Google Chat

How can I connect my Moxie account to Google Chat using Latenode?

To connect your Moxie account to Google Chat on Latenode, follow these steps:

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

Can I get Moxie chat transcripts in Google Chat?

Yes, you can! Latenode enables automated transfer of Moxie transcripts to Google Chat. This ensures important conversation data is readily available for team review and analysis.

What types of tasks can I perform by integrating Moxie with Google Chat?

Integrating Moxie with Google Chat allows you to perform various tasks, including:

  • Receive notifications in Google Chat for new Moxie chat sessions.
  • Post Moxie chat transcripts to a Google Chat channel.
  • Trigger automated responses in Google Chat based on Moxie chat events.
  • Create a Google Chat task when a Moxie chat is escalated.
  • Send customer satisfaction surveys via Google Chat after a Moxie chat.

Can I filter Moxie messages before they reach Google Chat?

Yes! Latenode allows filtering messages using flexible rules or even AI, ensuring only relevant info reaches Google Chat, minimizing noise.

Are there any limitations to the Moxie and Google Chat integration on Latenode?

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

  • Complex data transformations may require custom JavaScript code.
  • Real-time updates depend on the API capabilities of both Moxie and Google Chat.
  • Large volumes of data transfer may impact workflow execution speed.

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