Assured Health has raised $19 million in funding to deploy agentic AI designed to accelerate the process of getting healthcare providers in-network with insurance companies. The startup aims to reduce a credentialing and enrollment timeline that typically spans several months to just a few days, according to company statements reported by MedCity News.
The funding targets the administrative bottleneck of provider enrollment, where health systems and group practices must verify clinician credentials before they can bill insurance. By using AI agents to automate the verification and submission process, Assured Health intends to eliminate the manual data entry and follow-up traditionally required to move a provider from hire to active billing status.
This development addresses a persistent friction point in healthcare operations. When new physicians or nurses cannot bill insurance immediately upon starting a role, health systems face significant revenue leakage and delayed patient access to care.
Automating Provider Credentialing with Agentic AI
The core of Assured Health’s technology relies on “agentic AI,” which differs from standard generative AI by its ability to execute multi-step tasks autonomously. In the context of insurance enrollment, these agents handle the verification of provider credentials and the management of the enrollment pipeline for health systems and group practices.
According to the company, the current manual process is prone to errors and delays, often taking months to complete. Assured Health claims its AI-driven approach can compress this window into days, allowing providers to begin seeing insured patients and generating revenue for their practices almost immediately after onboarding.
Credentialing involves verifying a provider’s education, training, licensure, and board certifications. This information must be cross-referenced with primary sources and submitted to multiple payers, each with its own specific requirements and portals. The AI agents are designed to navigate these disparate systems to ensure accuracy and speed.
Impact on Health System Revenue and Patient Access
The financial stakes of slow enrollment are high for medical groups. A provider who is not yet “in-network” cannot bill the patient’s insurance, meaning the health system may either lose the revenue entirely or be forced to bill the patient as out-of-network, which often leads to lower patient satisfaction and higher claim denial rates.
By accelerating this timeline, Assured Health’s tool allows health systems to realize the return on their hiring investment faster. This is particularly critical during periods of physician shortages, where getting a new provider operational quickly can alleviate staffing pressures and reduce wait times for patients.
The $19 million investment allows the company to scale its operations and refine its AI agents to handle a broader range of insurance payers and complex credentialing scenarios across different medical specialties.
For health administrators, the shift toward agentic AI represents a move away from “robotic process automation” (RPA)—which follows rigid, pre-defined rules—toward systems that can adapt to the varying forms and requirements of different insurance carriers.
As the company expands, the focus remains on the integration of these AI agents into existing healthcare administrative workflows to ensure that the speed of enrollment does not compromise the rigorous verification standards required by law and insurance contracts.