RingCentral has announced AIR Pro, a voice-first agentic AI platform that aims to enhance customer engagement.
Announced at Enterprise Connect, this platform is designed to automate customer interactions through voice and digital channels.
This release reflects a broader trend in enterprise software, where AI platforms are integrated into communications systems to autonomously handle complex, real-time voice interactions alongside digital channels.
Kira Makagon, President & COO at RingCentral, explains that its AI tools work together so humans and AI agents can handle customer conversations more efficiently, while the system continuously improves by learning from each interaction.
“AIR Pro represents the next evolution, enabling humans and AI agents to work in collaboration and drive meaningful customer outcomes at scale – all on our trusted agentic voice AI platform,” she said.
“AIR Pro together with AVA and ACE create a self-learning flywheel that transforms the entire conversation journey and elevates every customer interaction.”
Designed to improve customer interactions, AIR Pro allows organizations to build digital agents that communicate with customers through various digital channels, allowing agents to interpret customer intent and perform actions across business systems.
Based on agentic AI, the software agents can operate autonomously toward a customer goal rather than generating text responses.
The AI agent platform builds on three existing RingCentral AI components that debuted the vendor’s agentic journey in 2025: AI Receptionist, AI Virtual Assistant, and AI Conversation Expert, designed to analyse conversations, automate tasks, and improve service quality.
AI Pro sits above RingCentral’s AI ecosystem as the platform that deploys autonomous AI agents to indirectly handle customer interactions.
This platform includes several technical features that enable AI agents to understand customer requests, automate multi-step service tasks, integrate with business systems, and coordinate interactions between automated agents and human staff across communication channels:
Customer Interaction and Experience
Conversational Problem-solving: Combines natural conversation with real task execution, performing administrative actions during live conversations to reduce friction and shorten resolution time.
Omnichannel AI Agents: This allows the same AI agent to operate across multiple communication channels by maintaining shared context across channels, resulting in a unified customer engagement experience.
Multilanguage with Auto-switching: This supports conversations in multiple languages and allows the user to change langauage at any point without restarting the interaction, useful for organizations that operate across multiple markets.