How to connect OpenAI Responses and RingCentral
Create a New Scenario to Connect OpenAI Responses and RingCentral
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 OpenAI Responses, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Responses or RingCentral will be your first step. To do this, click "Choose an app," find OpenAI Responses or RingCentral, 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 RingCentral Node
Next, click the plus (+) icon on the OpenAI Responses node, select RingCentral from the list of available apps, and choose the action you need from the list of nodes within RingCentral.

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

Save and Activate the Scenario
After configuring OpenAI Responses, RingCentral, 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 OpenAI Responses and RingCentral integration works as expected. Depending on your setup, data should flow between OpenAI Responses and RingCentral (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 RingCentral
RingCentral + OpenAI Responses + Google Sheets: When a new call recording is available in RingCentral, the transcript is sent to OpenAI for summarization. The key points from the summary are then logged into a Google Sheets spreadsheet.
RingCentral + OpenAI Responses + Salesforce: Upon a new call ending in RingCentral, the call recording is analyzed by OpenAI for customer sentiment. This sentiment is then used to update the corresponding lead's record in Salesforce.
OpenAI Responses and RingCentral 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 – all without code.
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About RingCentral
Integrate RingCentral with Latenode to automate call logging, SMS alerts, and contact management. Trigger workflows based on call events, automatically updating records in other apps like CRMs or support tools. Use Latenode's visual editor and scripting nodes for customized call handling and data synchronization.
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FAQ OpenAI Responses and RingCentral
How can I connect my OpenAI Responses account to RingCentral using Latenode?
To connect your OpenAI Responses account to RingCentral 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 RingCentral accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I summarize RingCentral voicemails with OpenAI Responses?
Yes, you can! Latenode lets you trigger OpenAI Responses to summarize new RingCentral voicemails, delivering key information instantly. This saves time and improves response efficiency.
What types of tasks can I perform by integrating OpenAI Responses with RingCentral?
Integrating OpenAI Responses with RingCentral allows you to perform various tasks, including:
- Generate personalized RingCentral SMS replies using OpenAI's language models.
- Automatically transcribe RingCentral voicemails and analyze the content.
- Route calls based on sentiment analysis of the conversation using OpenAI.
- Create summaries of RingCentral call logs using AI-powered insights.
- Send RingCentral alerts triggered by specific insights from OpenAI Responses.
How do I use OpenAI Responses to process RingCentral call transcripts?
Use Latenode to pass RingCentral call transcripts to OpenAI Responses for analysis, summarization, or sentiment detection, enhancing call data utility.
Are there any limitations to the OpenAI Responses and RingCentral integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of both OpenAI Responses and RingCentral APIs may affect performance.
- Complex workflows require more advanced understanding of both platforms.
- Accuracy of AI responses depends on the quality of the input data provided.