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WHITE PAPER
As AI systems become increasingly central to healthcare communication, achieving both high accuracy and security is paramount. But even the most advanced AI solutions fall short without one essential ingredient: trust. This white paper explores how Infinitus has built a platform to earn and maintain trust across the entire healthcare ecosystem. By reading, you’ll learn how voice AI agents can reliably handle complex phone conversations where accuracy is critical – with patients, payors, and providers – and efficiently return the right data. Explore the four foundational components that define this approach, and gain practical insights into what it takes to build AI systems that are trustworthy and dependable at scale.
Understand how AI can be hallucination free
Learn how Infinitus designed a system that eliminates hallucinations using a discrete action space, ensuring every response is compliant, accurate, and tightly controlled. In this paper, you’ll learn what it takes to deliver safer, more dependable AI-powered conversations that healthcare organizations can trust.
See how AI learns from millions of conversations
Go behind the scenes of the Infinitus knowledge graph, which enables voice AI agents to verify information in real time, understand complex payor plans, and integrate diverse data sources. This paper reveals why customers report higher accuracy than human agents, leading to fewer errors and faster time to therapy.
Discover how to ensure AI accuracy at scale
See how Infinitus ensures every AI agent interaction is reviewed and validated before ever reaching a customer. This white paper walks through our hybrid system, which combines LLMs, statistical models, and human oversight to catch inconsistencies and enforce SOPs with human-level nuance, showing how it’s possible to deliver trusted results at scale.
See how we built our AI to achieve patient, payor, and provider trust
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