Waystar Advances AI Innovation with Google Cloud to Accelerate the Autonomous Revenue Cycle

Waystar announced an expanded collaboration with Google Cloud on March 5, 2026. The companies are based in Lehi, Utah, and Louisville, Kentucky. The partnership accelerates Waystar's agentic AI capabilities and advances the industry toward an autonomous revenue cycle. The collaboration extends Waystar innovation through hyperscale infrastructure and Gemini large language models. It enables increased deployment across complex revenue cycle workflows and builds advanced automation capabilities faster. Waystar AltitudeAI unites proprietary financial and clinical data with generative and agentic AI embedded directly into revenue cycle workflows. The partnership unites financial and clinical intelligence from billions of patient encounters to optimize the claims lifecycle. Matt Hawkins, chief executive officer of Waystar, said the company's AI advantage comes from its unique position within healthcare's payment ecosystem. He said Waystar captures critical financial, clinical, and administrative intelligence across more than one million providers. Hawkins added that the partnership with Google Cloud accelerates efforts Aashima Gupta, global director of Healthcare Strategy and Solutions at Google Cloud, said the potential of AI in healthcare lies in its ability to take precise, automated action within complex financial ecosystems. She said embedding Gemini's agentic capabilities directly into Waystar's workflows moves past simple automation toward a self-learning revenue cycle. Since launching their partnership in early 2024, Waystar and Google Cloud have applied generative and agentic AI to revenue cycle complexity. In 2025, Waystar built generative AI capabilities for denial prevention and recovery. Waystar AltitudeAI has prevented more than $15 billion in denied claims in less than a year and reduced 90 percent of time spent on denial appeal and recovery. Most recently, Waystar introduced the first proprietary AI agent embedded directly within revenue cycle workflows. The company is advancing toward an autonomous revenue cycle with AI embedded across the full payment lifecycle.