RingCentral has introduced AIR Pro (AI Representative), a new AI-powered platform designed to help businesses automate and improve customer interactions across voice and digital channels. The new solution builds on RingCentral’s existing communications infrastructure and aims to simplify how companies deploy intelligent AI agents within their customer experience operations.
At the center of the launch is AIR Pro Studio, a no-code environment that allows organizations to design, build, and deploy AI agents using natural language instructions. Instead of relying on complex coding or development resources, businesses can simply describe the goals they want an AI agent to achieve, and the system automatically configures the necessary workflows. This approach significantly reduces the time required to launch automated customer service solutions.
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The platform is deeply integrated into RingCentral’s communications and contact center ecosystem, allowing companies to automate a wide range of customer interactions. AIR Pro can identify customer intent, verify identities, and complete multiple tasks within a single conversation. These tasks may include resolving inquiries, creating service cases, scheduling follow-ups, or triggering other business actions, all without requiring human intervention.
One of the key features of AIR Pro is its ability to support real-time multilingual conversations. Customers can switch between languages during a conversation without interrupting the interaction, helping businesses deliver smoother support experiences for global audiences. This capability is designed to remove friction from customer interactions and speed up problem resolution.
The platform is part of a broader AI ecosystem developed by RingCentral. The company previously introduced AIR (AI Receptionist), which ensures businesses never miss incoming calls or potential leads. It also offers AVA (AI Virtual Assistant), which supports employees during conversations by capturing notes and providing real-time suggestions. Another component, ACE (AI Conversation Expert), analyzes customer interactions and provides insights and coaching to improve service quality and operational performance.
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According to Kira Makagon, AIR Pro represents the next stage in the company’s vision for AI-driven business communications. She explained that combining AIR Pro with the company’s other AI tools creates a self-learning system capable of continuously improving customer interactions while enabling closer collaboration between human employees and AI agents.
Early adopters have highlighted the platform’s ease of use and rapid deployment capabilities. Brian Tucker noted that the platform’s intuitive setup process significantly reduces the learning curve typically associated with AI tools. His organization was able to deploy multiple AI agents within a single day and quickly scale its digital workforce.
AIR Pro is built around several guiding principles designed to simplify AI adoption. One of these principles is enabling seamless collaboration between human employees and AI agents. By coordinating workflows between both, the platform helps organizations achieve measurable operational improvements while maintaining a human touch when needed.
Another important element is simplicity. The system requires no coding and allows users to build AI agents by describing the tasks they want them to perform. The AI interprets those instructions and constructs the appropriate automation processes.
The platform also supports autonomous execution, meaning the AI agent can understand a request, determine the appropriate response, and carry out the required action independently. Businesses can define operational boundaries, while the AI manages complex multi-step tasks without constant human supervision.
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AIR Pro also includes prebuilt workflows, AI agents, and integrations designed for real-world business use cases. The first industry-specific version of the platform, AIR Pro for Healthcare, is designed to help healthcare providers manage patient interactions, scheduling, and service inquiries more efficiently. Additional vertical solutions are expected for industries such as financial services, retail, and professional services.
The platform integrates with more than 100 enterprise systems and APIs, enabling organizations to authenticate users, update customer records, and trigger actions across different business platforms. Built-in analytics and observability tools allow companies to monitor performance, analyze interactions, and measure the return on investment of their AI initiatives.
Industry analysts believe that platforms combining intelligent automation with enterprise reliability will define the next phase of AI-powered communications. Zeus Kerravala noted that RingCentral’s experience managing large-scale voice systems gives the company a strong foundation for expanding into agentic AI that can handle real business processes in real time.
With the launch of AIR Pro, RingCentral aims to help organizations automate customer engagement, improve service efficiency, and deliver faster, more personalized support experiences across multiple communication channels.
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