How to connect OpenAI Responses and ServiceM8
Create a New Scenario to Connect OpenAI Responses and ServiceM8
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
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 OpenAI Responses, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Responses or ServiceM8 will be your first step. To do this, click "Choose an app," find OpenAI Responses or ServiceM8, and select the appropriate trigger to start the scenario.

Add the OpenAI Responses Node
Select the OpenAI Responses node from the app selection panel on the right.

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

OpenAI Responses
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ServiceM8

Authenticate ServiceM8
Now, click the ServiceM8 node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your ServiceM8 settings. Authentication allows you to use ServiceM8 through Latenode.
Configure the OpenAI Responses and ServiceM8 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 OpenAI Responses and ServiceM8 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 donβt 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.

JavaScript
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AI Anthropic Claude 3
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ServiceM8
Trigger on Webhook
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OpenAI Responses
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring OpenAI Responses, ServiceM8, 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.
Test the Scenario
Run the scenario by clicking βRun onceβ and triggering an event to check if the OpenAI Responses and ServiceM8 integration works as expected. Depending on your setup, data should flow between OpenAI Responses and ServiceM8 (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Responses and ServiceM8
OpenAI Responses + ServiceM8 + Slack: When a new form response is submitted in ServiceM8, it's sent to OpenAI for summarization. The summary is then sent as a notification to a designated Slack channel.
ServiceM8 + OpenAI Responses + Google Sheets: When a job is completed in ServiceM8, feedback related to that job is sent to OpenAI to determine sentiment. The sentiment and other job details are then logged in a Google Sheet.
OpenAI Responses and ServiceM8 integration alternatives
About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results β all without code.
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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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See how Latenode works
FAQ OpenAI Responses and ServiceM8
How can I connect my OpenAI Responses account to ServiceM8 using Latenode?
To connect your OpenAI Responses account to ServiceM8 on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Responses and click on "Connect".
- Authenticate your OpenAI Responses and ServiceM8 accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize ServiceM8 job details using OpenAI?
Yes, you can! Latenode's visual editor and AI blocks let you create workflows that extract job info from ServiceM8 and use OpenAI to generate concise summaries automatically, saving time and improving efficiency.
What types of tasks can I perform by integrating OpenAI Responses with ServiceM8?
Integrating OpenAI Responses with ServiceM8 allows you to perform various tasks, including:
- Generate personalized follow-up emails based on job completion data.
- Create AI-powered chatbots to answer common client queries instantly.
- Analyze client feedback from ServiceM8 to improve service quality.
- Automatically draft job reports using OpenAI's text generation.
- Route complex inquiries to the appropriate staff using AI-based analysis.
Can I use custom prompts with OpenAI Responses inside Latenode?
Yes! Latenode allows you to use custom prompts for tailored AI responses, enhancing precision and control over OpenAI's output, leading to better results.
Are there any limitations to the OpenAI Responses and ServiceM8 integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex workflows may require JavaScript knowledge for advanced customization.
- The rate limits of both OpenAI Responses and ServiceM8 APIs apply.
- Large data volumes might impact workflow execution speed without optimization.