March 12, 2026

RingCentral Launches AIR Pro Agentic AI Platform at Enterprise Connect

By James Stephen

RingCentral has unveiled AIR Pro (AI Representative), a ‘voice-first’ AI platform designed to handle customer interactions end-to-end. Announced at Enterprise Connect, where UC, CX and AI strategy converged this week in Las Vegas, it represents a major step beyond conventional chatbots. Instead of simply answering questions, AIR Pro can authenticate customers, book appointments, update records, and complete transactions within a single conversation.

Kira Makagon, President & COO at RingCentral, described it as “the next evolution, enabling humans and AI agents to work in collaboration and drive meaningful customer outcomes at scale.”

David Dungay spoke to John Finch, GVP of Product Marketing, at Enterprise Connect to get the latest.

Built on Existing Foundations

AIR Pro sits within RingCentral’s broader AI ecosystem, alongside AIR (AI Receptionist) for call handling, AVA (AI Virtual Assistant) for real-time note-taking, and ACE (AI Conversation Expert) for post-call coaching. RingCentral says these tools together create a continuous feedback loop across every stage of a customer conversation.

AIR Pro Studio, its no-code builder, lets teams describe the outcome they want in plain language and the system configures itself accordingly. Gartner refers to this technology as “digital Polyfilla”. Brian Tucker, Chief Digital Officer at Televero Behavioral Health, described the onboarding experience as unexpectedly straightforward, noting that having several agents operational and handling real workload within a single working day was something he hadn’t anticipated being possible. It also supports real-time multilingual switching and connects to over 100 enterprise systems via pre-built integrations.

Where RingCentral positions AIR Pro as genuinely different is in what happens during a live interaction. Drawing on its existing infrastructure in enterprise voice, the platform is built to do more than converse. As Zeus Kerravala, Founder & Principal Analyst at ZK Research, puts it: “With AIR Pro, they are extending that strength into real-time action — enabling organisations to authenticate, resolve, and complete customer requests during the interaction, driving measurable business performance rather than just conversational efficiency.”

Healthcare Selected First

RingCentral has chosen healthcare as the first industry for a dedicated AIR Pro deployment, and the rationale is hard to argue with. According to RingCentral, providers handle millions of patient interactions every year, yet a significant portion of that time is consumed by scheduling, insurance verification, and administrative coordination rather than care. Staff shortages and rising call volumes have made the pressure acute.

AIR Pro for Healthcare is built to absorb that load. When a patient calls to reschedule an appointment, for example, the system can verify their identity, check provider availability, confirm the new slot, update the record, and send an SMS confirmation, all within a single interaction and without involving a member of staff. At launch it connects to more than 80 electronic health record systems, including Epic, Oracle Health, and Athenahealth.

According to Robin Gareiss, CEO & Principal Analyst at Metrigy Research, healthcare organisations deploying agentic workflow automation report 76 per cent improvements in problem resolution, adding that RingCentral’s depth of EHR integrations and pre-built healthcare skills lower the barrier to adoption.

AIR Pro is currently in controlled availability for selected US businesses, with a broader rollout expected later in 2026. Financial services, retail, and professional services are the next verticals in line.

Part of a Broader Wave

RingCentral is not alone in this space. The same week, several major vendors made moves towards increased AI agency to improve customer experiences. Talkdesk launched new AI capabilities targeting healthcare. Five9, also at Enterprise Connect, advanced its Fusion platform with what it calls an Agentic CX vision, focused on bringing AI agents, human staff, and third-party tools into a single connected workflow.

The same drive to move beyond analysis into measurable action is evident in NiCE, which also unveiled agentic AI capabilities at Enterprise Connect, across its CXone and Cognigy platforms. The system works by combing through existing call recordings, chat logs, and workflow data to pinpoint where agents would generate the most value, then building and deploying them accordingly. Gartner research recently found that 91 per cent of customer service leaders are now under executive pressure to implement AI, but the expectation in CX is moving beyond simply having AI as a tool to being more of a “digital co-worker”.

From Automation to Action

The platform’s core claim is that it shifts the role of AI in customer engagement from answering to acting. With Gartner predicting that agentic AI will autonomously resolve 80 per cent of routine customer service interactions by 2029, the window for experimentation is closing. For healthcare organisations under pressure on staffing and patient access, the case for acting now is also particularly hard to ignore.