RingCentral brings native AI agents to AIR Pro across its customer engagement portfolio
RingCentral expanded its AIR Pro platform with native AI agents that run multi-step voice and digital customer interactions end to end, handing off to human reps with full context. The capabilities are in beta now, with general availability targeted for the second half of 2026.
RingCentral has expanded AIR Pro, its agentic voice platform, with native AI agents that run across the company's full customer engagement portfolio. Unveiled at Customer Contact Week (CCW) in Las Vegas on June 23, the upgrade embeds autonomous agents directly into RingCX workflows so a single system can carry an interaction from start to finish across both voice and digital channels.
From assist to autonomy
The headline change is that AIR Pro's agents now handle complete, multi-step tasks rather than just suggesting responses to human reps. RingCentral's example is a routine service call: an agent can confirm an appointment, run identity verification, and update the customer record without a person in the loop — then escalate to a live representative when the situation calls for it.
That escalation is where RingCentral is putting much of its emphasis. New RingCX capabilities are designed to capture and carry customer context through a conversation, so when an interaction transfers to a human agent, that agent inherits a complete picture instead of asking the customer to start over. Alongside the in-call agents, the release adds automated outbound outreach and what the company describes as intelligent hand-offs across the engagement stack.
Availability and positioning
Native AI Agents in RingCX and the Automated Outreach features will be sold on a consumption basis, aligned with existing AIR Pro pricing. The new RingCX capabilities are in beta now, with general availability targeted for the second half of 2026.
The move places RingCentral, a publicly traded communications vendor, more directly in a contact-center market that is shifting quickly from AI-assisted agents toward autonomous ones. Customer support has become one of the most contested arenas in agentic AI, with specialists building voice and chat agents that aim to resolve cases without human involvement. RingCentral's pitch is that it can fold those capabilities into the unified communications and contact-center software enterprises already run, rather than asking them to bolt on a separate agent platform.
Whether bundled agents from an incumbent can match purpose-built rivals on resolution quality is the open question — but the launch is another signal that "agentic" is becoming table stakes for the customer engagement category rather than a differentiator.
Sources
- RingCentral Expands AIR Pro to Deliver Agentic AI Capabilities Across Customer Engagement Portfolio (Business Wire)
- At CCW Las Vegas 2026: RingCentral expands AIR Pro to deliver agentic AI — RingCentral Blog
- RingCentral AIR Pro Gets Agentic AI Upgrade as Contact Centers Shift Toward Autonomy — CX Today
AI-assisted reporting, overseen by the AgentsAI team. Spotted an error? Let us know.
More agents news
Patronus AI raises $50M to build 'digital worlds' that stress-test AI agents
AI reliability startup Patronus AI closed a $50M Series B led by Greenfield Partners and unveiled Digital World Models — large-scale simulation environments that train and evaluate agents on realistic, long-horizon software workflows before they ship.
OpenAI opens Codex Remote to all paid subscribers with secure QR-relay handoff
OpenAI brought Codex Remote to general availability on June 25, letting every paid ChatGPT subscriber monitor, steer, and approve long-running Codex coding sessions from a phone — without exposing the development machine to the public internet.
Assort Health raises $120M to scale voice AI agents across the patient journey
Healthcare AI agent startup Assort Health closed a $120M Series C led by Menlo Ventures at a $1.2 billion valuation, pushing total funding past $222M as its voice agents expand from appointment scheduling into a full patient-access platform.
Google DeepMind publishes defence-in-depth roadmap for AI agents
Google DeepMind released a detailed AI Control Roadmap on June 18 that treats deployed agents as potential insider threats and outlines 15 system-level defences — including runtime monitoring, cryptographic action signing, and a kill switch — tested across roughly one million coding-agent tasks.