Connect RingCentral and AI/ML API to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for RingCentral
Choose an Action
Automatically do this!
Create Chat Completion
Enable Integrations or automations with these events of RingCentral and AI/ML API
Enable Integrations or automations with these events of RingCentral and AI/ML API
Actions
Generate Ringout Call
Starts a 2-legged RingOutCall based on specified from and to numbers.
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your RingCentral and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in RingCentral triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how RingCentral data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between RingCentral and AI/ML API typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between RingCentral and AI/ML API. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About RingCentral
RingCentral provides cloud-based communication system to modern businesses of all sizes. The system enables companies with voice, SMS, video, Fax, and team collaboration services on all major desktop and mobile platforms. All devices, services, and users can be managed through our PBX and administrative capability designed for Enterprise IT.
Learn MoreAbout AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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