Powering Connected Customer Conversations with Agentic Voice AI

Customer conversations generate enormous value, yet most organizations struggle to translate that value into coordinated action. Teams collect data and review reports, but they rarely connect interactions directly to measurable business outcomes. The missing piece is context.

In this episode of The Modern Customer, Ali Tore, RingCentral’s SVP & GM of Conversational AI, explains how Agentic Voice AI closes that gap. He explains why organizations must move beyond isolated automation and build systems that coordinate conversations, context, and follow-through across every touchpoint. 

Ali outlines a clear framework for closing that gap: connecting the system of record (where data lives), the system of engagement (where customers interact), and the system of outcomes (where actions actually happen).

Rather than treating AI as a cost-reduction tactic, Ali positions it as connective infrastructure that links engagement to execution. He describes this as a flywheel of automating routine tasks, assisting human agents in real time, and analyzing interactions to continuously improve outcomes.

The conversation examines RingCentral’s Agentic Voice AI suite — AI Receptionist (AIR), AI Virtual Assistant (AVA), and AI Conversation Expert (ACE) — and how organizations use conversational intelligence to manage the entire customer interaction journey, including:

• Capturing intent and context in real time
• Detecting sentiment and emerging performance patterns
• Recommending next-best actions 
• Converting voice data into coaching and revenue insight

The episode makes a practical case: customer experience improves when conversations trigger outcomes instead of simply generating transcripts.

👉 Listen to the full episode on The Modern Customer and explore the RingCentral Agentic AI Trends 2026 report to go deeper.

This episode is sponsored by RingCentral.

🎧 Stream now on Apple Podcasts, Spotify or your favorite podcast platform.