Prosper AI, a startup building an agentic AI platform for healthcare operations, closed a $30 million series A round led by Andreessen Horowitz. The funding arrives nine months after its seed round and targets a single, stubborn problem: the administrative workflows that determine whether patients get care and whether providers get paid.
The platform handles patient scheduling, insurance verification, and billing across voice, APIs, fax, and browser-based channels. It now manages $1.3 billion in patient care and serves more than 60 healthcare organizations, including Jackson Memorial Hospital, athenahealth, and PE-backed outpatient groups.
From scheduling to full financial clearance
Prosper AI's co-founder and co-CEO Xavier de Gracia said the company's ambition is to build an AI workforce that complements human teams. "We believe that three to five years from now, larger patient groups and health systems are going to have a layer of workforce that's going to be AI, not only humans," de Gracia said. The platform coordinates agents that start with appointment scheduling and then move into eligibility checks, outbound calls to insurers, and upfront cost estimates.
Jay Rughani, partner at Andreessen Horowitz, said the firm backed Prosper AI because of the "scope of their ambition." Customers kept pulling the platform into more workflows. "That pull-through only happens when your technology can consistently guide patients through the care journey end-to-end," Rughani said. "It's no surprise Prosper AI is winning the vast majority of competitive evaluations they enter."
The company reports that providers using the platform see automation rates of 60% to 70% for scheduling workflows and revenue increases of up to 12%. The lift comes not just from answering calls faster, but from financially clearing patients before the visit. Co-founder and co-CEO Josep Mingot said the team is building more agents for the "long tail" of administrative work, including prescription refills and insurance updates.
Why health systems are consolidating tools
De Gracia said providers don't want separate tools for scheduling, verification, and billing. "They want a single platform capable of managing the workflows that determine whether care happens and whether providers ultimately get paid," he said. The company wins roughly 80% of competitive evaluations, according to executives, because buyers are looking for end-to-end capability rather than single-feature point solutions.
Jonathan Banta, CEO of The 44 Group and co-founder of The Executive Roundtable, a consortium representing more than 600 physicians, said his group evaluated seven vendors. "The difference wasn't simply scheduling. Prosper AI was the only platform capable of handling insurance verification, patient financial responsibility, and the broader workflows required to support the entire patient journey," Banta said.
Noah England, COO of Piedmont Dermatology, said Prosper AI was handling more than 50% of patient conversations end-to-end from the start, including complex cases with real-time benefits verification. "Many organizations using other AI solutions remain stuck at 20% to 30% automation because those systems stop at scheduling," England said.
Integrations and the EHR layer
Prosper AI has built integrations with athenahealth, ModMed, Veradigm, ECW, ImagineSoftware, and other leading EHR platforms. ImagineSoftware CEO Sam Khashman said his company reviewed multiple AI platforms and found Prosper AI "consistently delivered the strongest performance, now handling thousands of conversations per day across multiple clients."
The startup plans to use the new capital to expand engineering and customer-facing teams, deepen EHR integrations, and accelerate adoption across provider groups and health systems. The company has grown revenue 5x since its seed announcement and now reaches more than 150,000 healthcare providers.
Why this matters for operations leaders
For operations teams inside provider groups, health systems, and healthcare technology companies, Prosper AI's trajectory signals a shift in how administrative work gets bought and built. The market is moving away from single-task AI tools toward platforms that manage the full pre-visit and post-visit revenue cycle. That changes vendor evaluation criteria: the winning question is no longer "does this tool schedule?" but "does this platform clear the patient financially before the appointment and handle the exceptions that follow?"
Operations leaders who run RFP processes should expect to measure AI vendors on completion rates across multiple workflows, not just call deflection. The 20% to 30% automation ceiling that single-feature tools hit is a real benchmark. When a platform can push past 50% automation on complex, multi-step cases - including outbound calls to payers - the impact shows up in both cost reduction and revenue capture. The internal link on AI for Operations offers a broader view of how AI is reshaping administrative workflows, and the AI for Healthcare resource covers the clinical and operational use cases gaining traction across the industry.
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