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RadiantGraph Unveils AI Voice Studio to Scale Personalized Member Engagement

by Fred Pennic 06/12/2025 Leave a Comment

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RadiantGraph Unveils AI Voice Studio to Scale Personalized Member Engagement

What You Should Know: 

– RadiantGraph, the AI-powered platform for personalized healthcare engagement, has unveiled AI Voice Studio, a new capability in its Intelligent Personalization™ platform. 

– The new feature leverages HIPAA-compliant AI voice agents to help health plans and digital health organizations scale their member outreach and engagement efforts efficiently and effectively.

AI Voice Studio Overview

AI Voice Studio integrates seamlessly with RadiantGraph’s existing platform, building on complex healthcare member data to deliver relevant, timely conversations at every touchpoint. This allows healthcare organizations to automate routine outreach while preserving the human touch for more complex interactions.

RadiantGraph’s voice AI capabilities are part of the company’s pre-built solutions for health plans across both commercial and Medicare populations. The voice AI calling supports a breadth of use-cases, including:

  • Driving enrollment into preventative benefits.
  • Delivering health benefit reminders.
  • Supporting pharmacy and prescription adherence programs.
  • Closing critical gaps in care.

The new capabilities are designed to significantly reduce reliance on live agents, cut campaign execution time from weeks to hours, and improve member engagement rates by delivering more relevant and timely support.

Clinically Vetted and Operationally Seamless

RadiantGraph’s technical team has conducted extensive work to develop and refine the voice AI capabilities, including testing for clinical safety and operational workflows with US-based healthcare professionals. The company’s AI agents are integrated with its Priority Actions feature, providing call summaries and key insights to support seamless handoffs to live agents when needed.

Currently, RadiantGraph’s voice AI agents have been rated highly across key metrics including task completion, agent conduct, demeanor, error handling, and clinical safety by US healthcare professionals.

“Healthcare organizations have struggled for a long time to engage members at scale without sacrificing quality or blowing up operational budgets,” said Anmol Madan, CEO and founder of RadiantGraph. “With AI Voice Studio, we are giving them a smarter way to connect, while automating routine outreach and preserving the human touch. It’s a step toward a more scalable, more personalized model of member care delivery – one that can also flex to meet seasonal demands or unexpected surges.”

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