AI-Driven IVR and Support Platform for Third Party Administrators

A fully automated, HIPAA compliant IVR experience that delivers natural, accurate responses for eligibility checks, claim status, benefits guidance, and provider assistance. It empowers support teams by reducing repetitive calls and improving the overall service experience.

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OVERVIEW

Project Overview

This platform was developed to help support teams manage rising call volumes while improving the speed and quality of responses. This AI-powered IVR system delivers instant answers to routine inquiries entirely through voice-based interactions, with no chatbot or text interface involved. By offering a human like calling experience and supporting both English and Spanish with live translation, it ensures every caller can communicate naturally in the language they feel most comfortable using.

For members, the system provides fast guidance on coverage details, eligibility checks, and claim updates. Providers gain real time access to claim status, payment information, and documentation needs, helping them move quickly without manual follow ups.

Security and privacy remain integral across the entire solution. All interactions take place within a HIPAA compliant environment supported by strict access controls and secure PHI handling. End-to-end encrypted communication ensures that while callers benefit from automated, 24/7 support, their sensitive information stays protected and aligned with industry standards.

Key Features

AI Email Management

01.

AI Powered IVR Support System

The system answers every incoming call on behalf of the TPA, handling high volume inquiries with speed and consistency. It resolves routine questions instantly, reduces operational load on support teams, and ensures callers receive accurate information without waiting for a live representative. By automating repetitive tasks, it helps organizations lower service costs while maintaining dependable, around the clock assistance.

02.

Smart Call Escalation for Unresolved Queries

If a caller’s question cannot be resolved through automation, the system seamlessly escalates the call to a human representative. It passes along a concise summary of the interaction, ensuring the support agent receives full context before speaking with the caller. This creates a smoother handoff, shortens overall resolution time, and improves the experience for both callers and support staff.

Client Retention Insights

Features at a Glance

  • trumanInstant call handling

    trumanReal time responses

    trumanSmart call escalation

    trumanBilingual voice support

    trumanLive translation

    trumanSelf learning engine

    truman24/7 availability

    trumanHIPAA compliant flow

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Project Challenges and Their Solutions

1. Voice Quality and Output

Challenges

Twilio Voice Quality

Integrating the IVR system with Twilio’s native voice capabilities initially led to responses that sounded overly robotic to the client. Creating a natural, human centric calling experience was critical for adoption, especially given the high volume of member and provider interactions that rely on clarity and comfort.


Latency With Enhanced Voice Output

After introducing ElevenLabs to improve voice quality, the system began experiencing increased latency during the IVR flow. The added processing time affected the smoothness of real time communication, making it necessary to find a solution that preserved both speed and voice naturality.

SOLUTIONS

To address the robotic tone, we integrated ElevenLabs to generate high quality, human sounding speech. This significantly elevated the caller experience, making the IVR interactions feel more natural, expressive, and easy to understand.


To resolve latency concerns, we implemented Twilio’s ConversationRelay service, which manages real-time voice interactions by handling speech recognition, speech synthesis, and media streaming. By converting caller audio to text, routing it through our backend logic, and returning natural voice responses without delay, ConversationRelay restored smooth performance while maintaining the upgraded voice quality.

Technology Stack

Next.js

Used to build the web application interface, enabling fast navigation, secure authentication flows, and a smooth experience for system users.

React with Vite

Powers the administrative and dashboard components, providing a lightweight, high-performance setup for managing call logs, escalations, and user controls.

PostgreSQL

Stores all structured data, including inquiry histories, user details, and system records, ensuring reliable access to information during IVR and support operations.

AWS EC2

Hosts the backend services and handles the core application logic, providing a scalable and reliable environment for real time processing and IVR interactions.

AWS S3

Manages secure storage for system assets, logs, and supporting resources, ensuring durable availability and streamlined access for backend workflows.

AWS CloudWatch

Monitors system health, tracks performance metrics, and logs application activity, helping maintain stability and enabling quick detection of issues during high volume call operations.

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SEAN HYNES

Leader of the Effort

Sean is an AI/ML Engineer having over 20+ years of collective experience in the Tech industry. He leads end-to-end AI development processes, integrating cutting-edge technologies to deliver user-centric solutions. His expertise spans research, conceptualization, wireframing, interactive prototyping, and the design of intuitive user interfaces. 

He is capable of overseeing projects through all stages, from architecture building to crafting actual layouts and focuses on leveraging artificial intelligence for optimal outcomes.

Our team at Biz4Group is well experienced in manifesting innovative ideas for multi-dollar projects.

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