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Automatically analyze ServiceM8 job details using Google AI to extract key information and prioritize urgent tasks. Latenodeβs low-code editor makes it easy, and pay-per-execution pricing keeps costs down when scaling complex ServiceM8 + Google AI workflows.
Connect ServiceM8 and Google AI in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a ServiceM8, triggered by another scenario, or executed manually (for testing purposes). In most cases, ServiceM8 or Google AI will be your first step. To do this, click "Choose an app," find ServiceM8 or Google AI, and select the appropriate trigger to start the scenario.

Select the ServiceM8 node from the app selection panel on the right.

ServiceM8
Click on the ServiceM8 node to configure it. You can modify the ServiceM8 URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the ServiceM8 node, select Google AI from the list of available apps, and choose the action you need from the list of nodes within Google AI.

ServiceM8
β
Google AI
Now, click the Google AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google AI settings. Authentication allows you to use Google AI through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
β
AI Anthropic Claude 3
β
Google AI
Trigger on Webhook
β
ServiceM8
β
β
Iterator
β
Webhook response
After configuring ServiceM8, Google AI, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the ServiceM8 and Google AI integration works as expected. Depending on your setup, data should flow between ServiceM8 and Google AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
ServiceM8 + Google AI + Slack: When a job is completed in ServiceM8, Google AI summarizes the job details using Gemini, and then posts the summary to a designated Slack channel for the team's review.
ServiceM8 + Google AI + Gmail: When a job is completed in ServiceM8, Google AI summarizes the job details using Gemini, and then sends the summary to the client via Gmail.
About ServiceM8
Sync ServiceM8 field service data with other apps inside Latenode to automate scheduling, invoicing, and client communication. Use Latenode's visual editor to build custom workflows triggered by ServiceM8 events, avoiding manual data entry. Connect accounting, CRM, and marketing tools, extending ServiceM8's capabilities without complex coding.
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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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How can I connect my ServiceM8 account to Google AI using Latenode?
To connect your ServiceM8 account to Google AI on Latenode, follow these steps:
Can I automatically analyze client feedback from ServiceM8 using Google AI?
Yes, you can! Latenode lets you analyze ServiceM8 feedback with Google AI for sentiment, routing positive reviews and flagging negative ones. Improve service quality efficiently.
What types of tasks can I perform by integrating ServiceM8 with Google AI?
Integrating ServiceM8 with Google AI allows you to perform various tasks, including:
How secure is my ServiceM8 data when using Latenode integrations?
Latenode employs enterprise-grade security, including encryption and access controls, ensuring your ServiceM8 data remains protected throughout all automation workflows.
Are there any limitations to the ServiceM8 and Google AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: