Incredible Health has built two AI agents that close the last mile of healthcare education, connecting workers with prospective employers while surfacing details about specialties, locations, and institutions.
Incredible Health
A new nurse can leave school having learned anatomy, pharmacology, clinical judgment, and patient care. She can be licensed, motivated, and badly needed by the healthcare system. Yet, when she tries to enter the labor market, she may find herself unsure where to go. Not because she lacks formal knowledge, but because no one has taught her how to translate that knowledge into the right job. That’s the gap Incredible Health is trying to fill with its AI agents.
The San Francisco-based company, co-founded by Dr. Iman Abuzeid, operates a marketplace used by 1.5 million U.S. healthcare workers and more than 1,500 healthcare employers. It helps nurses and other healthcare professionals find permanent roles while helping hospitals and health systems hire faster. In doing so, Incredible Health is building the missing layer between education and employment.
Abuzeid, describes the problem plainly. “Americans are going to nursing school and allied health school and medical school, but when they’re approaching graduation, they have very poor support when it comes to career navigation and career services.”
This disconnect is symptomatic of a deeper problem facing educational institutions. They tend to focus on knowledge transmission as a single goal. But in the real world, especially that of regulated professions like healthcare, knowledge acquisition is only the start of the journey. Graduates also need to understand which specialty to pursue, where to work, how to relocate, how to present themselves, what qualifications matter, how to interview, and how to compare employers. For many healthcare workers, the transition is filled with fear, uncertainty, doubt, and confusion.
This confusion is remarkable in a country facing a serious healthcare labor shortage. As the population ages, demand for health care is rising: hospitals need nurses, and nurses need jobs. Yet the bridge between them remains broken. “You would think with that kind of backdrop, everybody should be hired rapidly,” Abuzeid says. “But that’s not the case at all.”
The problem is not limited to the worker side. Hospital hiring processes are slow, fragmented, and often deeply inefficient. Candidates apply and wait, recruiters are overloaded, and employers competing for talent still move too slowly to reach the people they need. One result, Abuzeid says, is that healthcare workers are often “ghosted and ignored.” She hears the same complaint over and over: “I applied to 10 places. I didn’t even hear back. And if I heard back, it took months.”
AI Agents Prepare Workers For Interviews
Incredible Health’s answer has been to create two AI agents that combine preparation, matching, and employer access. Its career AI, “Gale,” named after Florence Nightingale, helps healthcare workers prepare for interviews, create resumes, and explore opportunities. If a nurse wants to work in the operating room, Gale can conduct interview preparation specific to that specialty. “That interview preparation session isn’t like a generic interview,” Abuzeid says. “It asks very specific clinical and behavioral questions related to the operating room.” The agent then provides feedback and summarizes how the candidate performed and where they can improve. This is post-interview feedback that most students rarely receive.
There is a practical accessibility point here that education leaders take notice of. Healthcare workers do not spend their professional lives in front of laptops. “They’re not like you and I sitting in front of a computer,” Abuzeid says. “Healthcare workers are up and about all the time.” Many, she adds, are “running their lives both personally and professionally on their phones.”
Incredible Health’s users report that one advantage of practicing with the AI agent is that it feels less intimidating. “They feel less judged by the AI voice agent because they know it’s a robot,” Abuzeid says. Practicing with a human can feel embarrassing, while practicing with a machine offers a lower-stakes environment for repetition and improvement. There’s a useful lesson for the future of education in that. Beyond delivering information, AI can create new forms of rehearsal, letting people practice difficult conversations before the real ones and fail privately before they have to perform publicly.
AI Agents Conduct Interviews For Employers
On the employer side, Incredible Health has built its second AI agent, “Lyn,” an interview agent named after the physician and researcher Marilyn Gaston. Lyn conducts interviews with candidates, asking clinical and behavioral questions, discussing multiple roles, and explaining why a particular employer might be a good place to work. “We do not believe the AI agent should just ask questions,” Abuzeid says. “An AI agent has to be able to sell the employer, too.”
It is an important point. In a competitive labor market, hospitals aren’t just evaluating nurses; nurses are also evaluating hospitals. They want to know about culture, schedules, specialties, benefits, growth opportunities, and whether the employer will respect their time.
Before Lyn, Abuzeid says, a first interview could take “at best case, seven to 14 days.” With Lyn, candidates often interview within 24 hours. According to the company’s data, 75% of candidates complete their interview within 24 hours of applying, 41% of those interviews happen at night or on weekends, and overall hiring timelines have dropped by roughly 30%. Speed matters because the cost of delay is concrete: a nurse who doesn’t hear back moves on, a hospital that moves too slowly stays understaffed, and a patient waits longer for care.
Abuzeid is careful, though, not to frame any of this as a replacement for human judgment. Healthcare hiring is regulated and sensitive. “AI cannot make hiring decisions,” she says, summarizing the direction of emerging state laws and compliance expectations in California, Texas, New York, and elsewhere. AI should be used for coaching, practice, information, and access, not to cut humans out of the loop. Abuzeid uses a memorable analogy: celebrities and athletes have agents, so why shouldn’t workers? With AI, she says, “every healthcare worker can have their own agent.”
This is the real promise of AI for this type of education. It is not a replacement for formal instruction, but a tool that can help trained people move into the right work more quickly and with greater confidence. Getting a degree or credential is no longer sufficient. Students need to be able to turn their learning into a livelihood, and this requires telling their story, assessing opportunities, practicing professional conversations, and connecting to employers that actually want to hire them. Incredible Health, with its AI agents Gale and Lyn, shows that when the stakes include not just individual careers but also patient access to care, the last mile is too important to leave to chance.