RingCentral has announced a new three-part voice AI suite designed to manage customer interactions from the first incoming call to post-conversation analysis. The company, which has spent more than two decades building enterprise communication systems, shared the details via Business Wire, unveiling AIR (AI Receptionist), AVA (AI Virtual Assistant), and ACE (AI Conversation Expert).

Together, these tools aim to cover the entire lifecycle of a business conversation—answering calls when staff are unavailable, assisting employees during live interactions, and extracting actionable insights from past conversations. With what RingCentral says is hundreds of millions of dollars invested annually in research and development, the announcement positions the company as a serious contender in the rapidly growing market for AI-powered business communications.

A Unified Approach to Voice AI

Rather than releasing a single AI feature, RingCentral is betting on a modular but connected system. Each component plays a specific role, but all three are designed to work together, sharing context and data across the customer journey. This approach reflects a broader shift in enterprise AI: moving away from isolated tools toward systems that support continuous workflows instead of one-off tasks.

AIR: An Always-On AI Receptionist

AIR (AI Receptionist) is designed to handle incoming calls at any time of day, ensuring that businesses don’t miss opportunities simply because staff are busy or unavailable.

Key capabilities include:

• Answering calls 24/7 and responding to routine customer inquiries
• Booking appointments and capturing lead information automatically
• Saving call details directly into CRMs such as Salesforce and HubSpot
• Transferring calls to human staff with full conversational context, eliminating the need for customers to repeat themselves
• Managing scheduling across multiple calendars
• Integrating with existing SIP-based phone systems, allowing businesses to use their current infrastructure

For many organizations, AIR addresses a familiar pain point: missed calls, incomplete lead capture, and fragmented handoffs between automated systems and human teams.

AVA: Real-Time Assistance During Live Conversations

While AIR focuses on handling calls independently, AVA (AI Virtual Assistant) is built to support employees during live calls and meetings. AVA’s functionality includes:

• Generating real-time summaries and action items while conversations are still happening
• Drafting, rewriting, and translating messages across multiple languages
• Adapting its suggestions based on what the user is currently doing
• Guiding employees through features and workflows they may not yet be familiar with

In theory, AVA acts as a silent co-pilot reducing cognitive load, improving accuracy, and helping teams stay focused on the customer rather than on note-taking or follow-ups.

ACE: Turning Conversations Into Business Intelligence

The third component, ACE (AI Conversation Expert), focuses on what happens after conversations end. Instead of storing calls as static records, ACE analyzes them for recurring themes, issues, and opportunities. Its Insights module allows organizations to:

• Identify patterns across large volumes of conversations
• Understand why certain issues keep appearing, supported by concrete examples
• Receive recommendations rather than raw data
• Ask questions conversationally, instead of building manual reports or dashboards

This shifts conversation analysis from a retrospective task handled by analysts to an interactive process accessible to managers and decision-makers.

Early Results From Real Customers

RingCentral shared early customer outcomes to demonstrate the system’s potential:

• Televero Health, a behavioral healthcare provider, reported a 14% increase in appointments and more than $200,000 in additional monthly revenue within the first four months of using AIR.
• Echo Global Logistics noted that they now gain meaningful business intelligence from calls, rather than simply storing call recordings for compliance or reference.

These examples suggest that voice AI can have tangible financial and operational impact at least under the right conditions.

Availability and Rollout Timeline

• AIR is currently live in the United States, United Kingdom, and Canada
• AVA is available in limited early access for U.S. customers
• ACE’s full Insights module is expected to be broadly available by early 2026

The staggered rollout reflects both the complexity of the tools and the need for controlled deployment in enterprise environments.

The Bigger Problem These Tools Aim to Solve

Most businesses already know they’re losing valuable information during customer conversations. Calls go unanswered, CRM entries are forgotten, details get lost during handoffs, and recurring customer complaints never surface because no one has time to review hundreds or thousands of calls.

The promise of RingCentral’s voice AI suite is simple: capture what’s currently slipping through the cracks.

But conversations are rarely simple.

Where the Real Test Begins

Press releases often focus on best-case scenarios, but real customer interactions are unpredictable. People call when they’re frustrated, explain problems poorly, speak with heavy accents, or use industry-specific language that generic AI models may struggle to understand.

This raises important questions that no feature list can fully answer:

• How well does AIR perform when conversations become emotional or complex?
• Can AVA provide genuinely helpful real-time support, or does it risk becoming another distraction during critical calls?
• Will ACE surface insights that aren’t already obvious to experienced managers, or simply repackage known issues?

Early success stories from healthcare and logistics are encouraging, but these environments often involve structured workflows and dedicated onboarding support. The real test will come when the system is deployed across diverse industries, customer profiles, and communication styles.