How AI Is Reshaping Healthcare Revenue and Access

Healthcare providers can wait 60 to 75 days to get paid, while many hospitals spend 5% to 7% of revenue on the collection process. That makes revenue cycle management more than a back office issue. It affects margins, staffing, patient experience, and access to care.Akash Magoon, cofounder and CEO of Adonis, joins The Tech Trek to explain how agentic AI can help medical groups and hospitals automate denials, accounts receivable work, and other manual billing processes. He also shares how Adonis applies AI internally across engineering, sales, and customer success.The conversation goes beyond automation. Akash explains why healthcare companies often win through distribution, not product quality alone, why focused solutions can create more progress than broad attempts to fix healthcare at once, and why leaders need to frame AI as a tool that helps people work at the top of their license.Practical Takeaways• Start with a narrow, material problem rather than trying to rebuild healthcare all at once.• Measure AI through business outcomes, including net collection rate and cost to collect.• Invest in marketing and distribution early, even when the product is strong.• Build employee trust by showing how AI improves effectiveness, not only efficiency.Approximate Highlights00:45 How Adonis applies agentic AI to revenue cycle management02:05 Lessons from building a second healthcare technology company04:45 Using AI for customers and inside the company08:55 Why healthcare progress often starts with focused swim lanes14:25 The distribution lesson Akash carried into Adonis20:40 How operational efficiency may improve patient access and rural healthcareOne Line That Stuck“Healthcare ends up becoming a very humbling place to build.”Follow The Tech Trek for more conversations on AI, data, product, engineering, and technical leadership.