Outbound AI’s Conversation AI Revolutionizing Healthcare Administration

A New Dawn in Healthcare Administration

Outbound AI is revolutionizing healthcare administration through its innovative cloud technologies that streamline phone-based administrative work. Founded in 2021, this Madrona Venture Labs spinout, based in Seattle, Washington, is breaking ground through its AI-first solutions designed to drive productivity and enhance the daily job experience for human talent. Its state-of-the-art platform reduces the burden of administrative work for healthcare workers, allowing them to dedicate more time to patient care.

The Inaugural SaaS Offering

Outbound AI’s inaugural SaaS offering, PayerVA™ Console, is a game-changer for the healthcare industry. This innovative technology includes a portfolio of intelligent virtual agents and out-of-the-box automations that enhance the claims processing experience, making it faster and more efficient. The technology aims to reduce the administrative workload for healthcare workers, thereby enabling them to eliminate human error, cut costs and speed up the processing and completion of claims.

A Passionate Team of Health and Voice Tech Veterans

The company’s passion, innovation, and commitment to excellence stem from its team of health and voice tech veterans. Their expertise, knowledge and experience in healthcare and AI technology have enabled them to create a new standard in healthcare administration. Backed by several venture capital firms renowned for their success with emerging AI and cloud technologies, Outbound AI is transforming the healthcare industry with its Conversation AI.


Outbound AI’s Conversation AI is the future of healthcare administration. Through its breakthrough technology, it is transforming the industry by streamlining phone-based administrative work, eliminating human error, reducing costs, and speeding up claims processing. With its passionate team of experts and innovative technology, Outbound AI is setting the standard for the healthcare industry.

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