HearFor | IronPlane

INDUSTRY

Healthcare

COMPANY SIZE

Small Business

HEADQUARTERS

United States

HearFor.ai is an innovative company dedicated to transforming patient interactions in the healthcare sector, with a specific focus on fertility care. Their vision is to create a seamless, AI-powered companion that enhances patient engagement and accessibility in a highly sensitive healthcare domain.

To bring this vision to life, HearFor.ai sought to develop an MVP (Minimum Viable Product) demonstrating their AI-assisted voice solution, Continyou. At the core of Continyou is Liv, an AI-powered fertility care voice assistant designed to assist patients by conducting initial screenings, answering inquiries, and streamlining the onboarding process for fertility clinics.

MVP Requirements:

A visually attractive, fast, and accessible landing page to showcase Continyou and its capabilities
Integration with AI assistants to power Liv’s voice interactions
A feature allowing users to initiate voice calls with the AI assistant
A basic AI-driven interview/screening process for patient intake
A lead generation and categorization system based on user interaction

This solution was designed to serve as a proof-of-concept, demonstrating how AI can provide personalized, always-available healthcare support — and they tasked IronPlane and Snowdog to create and implement it.

The Objectives

The primary objectives of the MVP were:

Demonstrate the concept of an AI-powered healthcare companion
Streamline the patient onboarding process for fertility clinics
Provide 24/7 accessible support for patients seeking fertility care
Generate and qualify leads for potential clinic partnerships

By achieving these goals, HearFor.ai aimed to showcase how AI can enhance patient engagement while improving efficiency for fertility clinics.

The Challenges

One of the most significant technical challenges was training the AI assistant to effectively gather and process relevant information from users. Fine-tuning the system’s ability to conduct sensitive healthcare interviews in an empathetic yet efficient manner required extensive adjustments.

Additionally, data collection and integration posed another challenge. After each conversation, user inputs needed to be stored in a CMS. To create a simple yet effective solution, we implemented a system for structured data collection.

Key Technical Challenges:

Optimizing AI Accuracy — Ensuring our AI solution could conduct interviews while maintaining an appropriate tone
Data Transmission and Storage — Implementing a seamless flow from voice interactions to structured lead generation
Maintaining a Lightweight Tech Stack — Building a solution that was scalable and easy to iterate on

The Solutions

To meet HearFor.ai’s requirements, IronPlane and Snowdog designed and implemented an agile, cost-effective MVP using:

AI Assistants — For AI-powered voice assistant capabilities
Custom CRM System — To manage lead capture and categorize user interactions
Custom Python Integration — To connect the AI assistant to the CRM solution, ensuring structured data collection

What Made Our Approach Unique?

Voice-First Healthcare AI — Unlike traditional healthcare chatbots, this solution prioritized voice interaction, offering a more natural and accessible user experience.
Specialized AI Application — Liv was specifically designed to handle sensitive fertility care conversations with an empathetic and professional tone.
Lean but Functional Infrastructure — The tools we used allowed for a rapid, low-cost MVP deployment, reducing time-to-market while maintaining key functionality.

By leveraging emerging technologies in a strategic way, we ensured that HearFor.ai’s vision for AI-driven fertility care was effectively demonstrated.

The Results

The MVP successfully delivered a fully functional:

Landing page presenting Continyou
AI-powered voice assistant that could conduct basic interviews
Lead generation system for fertility clinic partnerships

The project was a success, as we delivered a fully integrated AI-driven healthcare assistant within the defined scope and budget.

The success of this project stemmed from seamless integration across different platforms, allowing for an AI-powered voice-first solution that could efficiently screen patients, collect lead data, and support fertility clinics. It serves as a strong proof-of-concept for the future of AI in fertility care.