For seven years, Neil Batlivala worked in the quiet corners of the healthcare technology sector, building a company dedicated to a demographic that rarely captures the attention of Silicon Valley’s venture capital elite. His mission was focused on the intersection of chronic disease management and social instability—a segment of the population often deemed too complex or unprofitable for traditional digital health models. However, on April 30, 2024, Batlivala’s company, Pair Team, moved from the periphery to the center of a federal experiment that could fundamentally alter the delivery of medical care in the United States. Pair Team was officially named as one of 150 organizations selected by the Centers for Medicare & Medicaid Services (CMS) to participate in the ACCESS (Advancing Chronic Care with Effective, Scalable Solutions) program. This ten-year initiative, scheduled to go live on July 5, 2024, represents the federal government’s most ambitious attempt to integrate artificial intelligence into the national healthcare infrastructure.
The ACCESS model is not merely a pilot for new technology; it is a structural overhaul of how the government compensates for care. By creating "swim lanes" for AI innovation within traditionally rigid regulatory frameworks, the program seeks to prove that automated, AI-driven interventions can achieve better health outcomes at a lower cost than human-only clinical teams. For Batlivala, the inclusion of Pair Team is a validation of a five-year strategy aimed at proving that the "best solution wins" when the incentives are aligned with patient health rather than the volume of services rendered.
The Structural Evolution of Medicare Reimbursement
To understand the significance of the ACCESS program, one must first look at the limitations of the traditional Medicare "fee-for-service" model. Historically, Medicare has reimbursed providers based on discrete activities: a physical exam, a blood draw, or a fifteen-minute consultation. This system, while straightforward, provides no financial mechanism for the continuous, proactive monitoring that chronic conditions require. There is no billing code for an AI agent that calls a patient to check on their blood sugar, nor is there a reimbursement path for a software system that coordinates a housing referral to ensure a patient has a stable place to recover from surgery.
The ACCESS program transforms this paradigm by shifting to a value-based payment model. Participating organizations receive predictable, monthly payments for managing qualifying conditions such as diabetes, hypertension, chronic kidney disease, obesity, depression, and anxiety. However, the caveat is significant: providers only earn the full reimbursement amount when patients meet measurable health milestones, such as stabilized blood pressure or reduced emergency room visits.
This transformation allows for the deployment of "AI agents" as legitimate clinical tools. Because the government is paying for the outcome (a healthy patient) rather than the method (a human phone call), companies are incentivized to use the most efficient tools available. As Batlivala noted, this creates a payment mechanism for the "between-visit" care that has long been the missing link in chronic disease management.
A Chronology of Innovation: The Rise of Pair Team
The journey to the ACCESS program began in 2019 when Pair Team was founded with a specific thesis: clinical health cannot be separated from social context. While many health tech startups focused on "worried well" consumers with high disposable income, Pair Team targeted the approximately one-third of Americans who struggle with "social determinants of health" (SDOH)—factors such as food insecurity, unstable housing, and lack of reliable transportation.
The company’s growth follows a distinct timeline of clinical and technological milestones:
- 2019: Pair Team launches, focusing on supporting Medicaid-heavy practices with administrative and clinical wrap-around services.
- 2020–2022: The company scales its operations across California, building a workforce of over 850 clinical professionals and establishing what is now considered the largest community health workforce in the state.
- 2023: Pair Team secures $30 million in funding led by prominent firms including Kleiner Perkins, Kraft Ventures, and Next Ventures. During this period, the company reports revenue exceeding nine figures, proving the scalability of its Medicaid-focused model.
- Late 2023: Recognizing the limitations of human-only scaling, Pair Team deploys "Flora," a sophisticated voice AI agent designed to act as the primary interface for patient engagement.
- April 2024: CMS selects Pair Team for the ACCESS model, positioning the company to test its AI-driven approach at a federal scale.
Flora: The AI Interface as a Clinical Intervention
The most provocative element of Pair Team’s model is Flora, a voice AI agent available 24/7 to handle intake, coordinate referrals, and conduct routine check-ins. While the tech industry often views AI as a tool for efficiency, Batlivala argues that for underserved populations, AI provides something more profound: companionship and consistency.
In one instance shared by Batlivala, a 67-year-old woman living in her car while managing PTSD and congestive heart failure engaged in a conversation with Flora that lasted over an hour. For a patient who had been isolated from the traditional healthcare system, the AI agent was the only "entity" to ask about her well-being in weeks. This interaction highlights a critical finding in Pair Team’s internal data: long-form conversations with AI are becoming routine. These interactions serve as a behavioral intervention, keeping patients engaged with their care plans and reducing the likelihood of "falling through the cracks" of the medical system.
The efficacy of this community-integrated model is supported by peer-reviewed research. A study published in the Journal of General Internal Medicine evaluated Pair Team’s approach—which blends medical, behavioral, and social care—among Medicaid members with high rates of homelessness and chronic disease. The data showed significant reductions in avoidable emergency department utilization and inpatient admissions. According to Batlivala, one in four hospital visits and one in two ER visits are prevented when a patient is actively managed under Pair Team’s care.
The Architects of the ACCESS Model
The design of the ACCESS program reflects a departure from traditional federal bureaucracy, largely due to the backgrounds of its architects. The program was spearheaded by Abe Sutton, Director of the CMS Innovation Center, and Jacob Shiff, the center’s Chief AI and Technology Officer.
Both Sutton and Shiff brought "startup mentalities" to the federal government. Sutton was previously a venture capitalist at Rubicon Founders, a healthcare-focused fund, while Shiff was a healthcare founder himself. Their influence is evident in the program’s emphasis on outcome-based payments, direct-to-consumer enrollment, and the promotion of competition between traditional providers and "AI-first" startups. By moving away from the rigid requirements of "required activities," they have created a framework where innovation is rewarded by the market efficiency it produces.
Risks, Challenges, and the "Lean AI" Paradox
Despite the optimism surrounding the July 5 launch, the ACCESS program faces significant headwinds. The first is a matter of data security. Participants in the program will be inputting highly sensitive patient data—including intimate details about mental illness, housing status, and chronic conditions—into a federal infrastructure that has been plagued by security lapses. CMS has a documented history of breaches, including the accidental exposure of provider Social Security numbers. For the vulnerable populations Pair Team serves, a data breach could have catastrophic real-world consequences.
Furthermore, there is a financial risk inherent in the "Innovation Center" model. A 2023 analysis by the Congressional Budget Office (CBO) found that the CMS Innovation Center actually increased federal spending by $5.4 billion during its first decade, failing to meet its original goal of producing net savings.
Adding to the pressure, CMS has set reimbursement rates for the ACCESS program lower than many industry participants expected. This creates a "lean AI" paradox: the model only becomes financially viable if a company has successfully automated the vast majority of its patient interactions. Batlivala views this as a strategic filter rather than a hindrance. He argues that if reimbursement rates were high, there would be no incentive to innovate or adopt AI. Low rates force companies to build "AI-first" operations that are inherently more scalable and cost-effective than traditional clinics.
The Broader Impact on the Digital Health Landscape
The launch of the ACCESS program comes at a pivotal moment for the digital health industry. While overall venture funding has cooled since the pandemic peaks, Q1 2024 saw a resurgence in digital health investment, with AI-focused startups capturing the lion’s share of the $4 billion raised during the quarter.
The success or failure of the ACCESS program will likely serve as a bellwether for future federal healthcare policy. If Pair Team and its cohorts can demonstrate that AI-driven care leads to better health outcomes for chronic disease patients, it could trigger a permanent shift in how Medicare and Medicaid operate.
Currently, Pair Team has partnerships that grant it access to approximately 500,000 potential patients. The company’s goal is to double that reach to one million patients within the next three years. As the program goes live this July, the eyes of both Washington and Silicon Valley will be on these 150 participants to see if AI can finally solve the cost and quality crisis that has defined American healthcare for decades. For the millions of seniors and low-income individuals struggling with chronic conditions, the hope is that a voice on the other end of the line—even an artificial one—is the first step toward a more stable and healthy life.
