Spotlight: Josep Marc Mingot Hidalgo @ Prosper AI
A spotlight is a short-form interview with a leader in health tech. In this spotlight, you'll hear from Josep Marc Mingot Hidalgo, co-founder of Prosper AI.
What does Prosper AI do?
Prosper AI is the AI platform that runs the full patient journey. Unlike point solutions that handle one step, Prosper AI covers both patient-facing and payer-facing calls end-to-end: it can take a scheduling call, verify benefits with the insurer, and resolve billing without a human touching any step.
Built generative-first for both patient and payer calls, Prosper AI is live in 60+ outpatient groups and covers 150,000+ providers, with deep integrations across athenahealth, ModMed, Veradigm, ECW, ImagineSoftware and other leading EHRs. The company was founded in 2023 by Xavier de Gracia and Josep Mingot and is headquartered in New York. Prosper AI's mission: unlock universal access to care by helping healthcare organizations achieve unprecedented efficiency with AI agents.
How did you end up working in health tech?
Prosper AI was founded on the belief that combining our experience in adjacent sectors with the emergence of Large Language Models, such as ChatGPT, could transform one of the world's most important and operationally complex industries: healthcare.
Our path into health tech came from the combination of our backgrounds. Xavi had led large-scale support call center operations, while I had built products in the insurance industry. Xavi also grew up with two physician parents, which gave him early exposure to the operational and business challenges of running medical practices.
When we looked at healthcare, and specifically RCM, we saw a clear fit between the problems in the industry, our experience, and what our technology could solve. The work was highly manual, phone-heavy, and operationally complex, exactly the type of environment where AI agents could create meaningful impact.
That realization led us to commit deeply to the space. As we worked with our first healthcare clients, it became increasingly clear that this was where our platform could have the greatest impact. We ultimately decided to focus Prosper AI entirely on healthcare, with the ambition of building for this industry over the next decade.
How does your role intersect with revenue cycle management (RCM)?
My role intersects directly with RCM. At Prosper AI, we are building AI agents that automate some of the most operationally complex and communication-heavy workflows in healthcare, many of which sit at the center of RCM.
That includes areas like benefits verification, prior authorization, claims follow-up, patient billing, and scheduling-related workflows that affect reimbursement. These processes often depend on phone calls, fragmented data, and coordination between providers, payers, and patients, which our platform is designed to help with.
As a founder, my role is to stay close to both the technology and the workflows. I spend a lot of time understanding how RCM teams operate today, where delays and errors happen, and how AI agents can safely and reliably take work off their teams. That means working with customers, product, engineering, and deployments to make sure the agents are not just conversational, but actually completing the underlying business process.
What do you think RCM will look like two years from now?
RCM today is slow, manual, error-prone, and expensive. The root cause is the complexity of coordinating across patients, providers, and payers. Every step – benefits verification, prior authorization, claims follow-up, payment collection, and patient billing – depends on fragmented data, siloed teams, and constant communication between parties.
For years, everyone has known these processes needed to be automated. The challenge was that traditional software was not well suited for the messy, communication-heavy nature of RCM.
AI agents change that.
AI agents are strong where previous technologies struggled: handling conversations, navigating complex workflows, and working with imperfect data. As these systems improve, we believe providers and payers will adopt them aggressively because the impact is too significant to ignore: faster workflows, lower administrative costs, fewer errors, and a better patient experience.
Two years from now, I think the best RCM organizations will operate with near-zero wait times and dramatically fewer manual errors. Humans will still be essential, but their role will shift toward higher-level work: handling exceptions and complex cases, improving processes, and building stronger relationships with patients and payers.
For patients, the experience should feel completely different. From the first interaction, they should have clear visibility into the cost of care based on their specific insurance coverage. Benefits and prior authorization issues should not create delays or confusion. Bills should be easy to understand, and patients should receive clear guidance on what they owe, why they owe it, and what options they have.
Internally, we often say that if we do our job well, getting care should become as easy as booking a flight. That may sound ambitious, but it is the direction healthcare needs to move: simple, transparent, fast, and reliable.