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.
Intelligence, Reasoning, and Task Execution
Real-time Reasoning and Execution: This system interprets intent and autonomously performs multi-step actions such as authentication, scheduling, case creation, or record updates during the conversation, allowing organizations to move beyond scripted chatbots and enable agents to reason and complete tasks directly.
Agent Creation and System Connectivity
AIR Pro Studio (no-code agent builder): This platform uses a no-code approach, allowing non-developers to build agents with visual tools and templates to help organizations get started in customer support, appointment, and order management, reducing development time.
Integrations: Organizations can use integrations to connect the AI platform to enterprise systems, allowing AI agents to perform real business actions rather than just provide information, enabling automation of customer service workflows.
Monitoring, Optimization, and Governance
Insights and continuous optimization: This includes analytics tools that monitor AI agent performance, allowing organizations to update knowledge, adjust workflows, or retrain the system based on the insights, ensuring AI agents improve over time and deliver measurable results.
Enterprise governance and security: This capability supports regulatory compliance and internal governance requirements, while also providing transparency so organizations can monitor how AI agents interact with customers and systems.
What Will AIR Pro Deliver
AIR Pro targets fragmented customer service workflows, as many organizations run these services across several systems, human agents are required to switch between these during a call, increasing handling time.
AIR Pro addresses this issue by allowing AI agents to connect to multiple enterprise systems and execute actions directly.
Earlier automation tools such as IVR menus or rule-based chatbots relied on scripted flows, unable to handle complex conversations that moved off script.
RingCentral designed this platform to interpret intent, manage multi-step conversations, and perform tasks during interactions, aiming to reduce long resolution times, repeated handoffs, and customer repetition.
AIR Pro also helps companies deploy agent quickly, as many organizations struggle to build AI automation due to complex technical development, integration work, and data preparation, RingCentral provides a no-code environment to stop companies building from scratch.
This product reflects a large shift in enterprise technology from text to voice agentic AI platforms.
As more enterprise vendors invest in voice-first AI platforms that can operate in real-time conversations, AIR Pro’s omnichannel agent platform is positioned as a primary competitor in the market, reflecting a common view that voice will remain a primary channel for complex service interactions.
