Artera has unveiled a new delivery model that shifts the company away from standard software distribution and toward embedded teams of AI builders working directly alongside specialty care providers, federally qualified health centers, community health centers, health systems, and federal agencies. The Santa Barbara, California-based company describes the approach as an AI Services Model, positioning it as a departure from the conventional SaaS model that has defined healthcare software for decades.
HotSpot Take
Artera, the patient communications platform serving more than 1,000 healthcare organizations and supporting 2 billion patient interactions annually, announced its AI Services Model on May 7, 2026. The model deploys dedicated “AI Service Squads” (small teams of builders with combined healthcare and AI expertise) to co-develop custom agentic solutions tailored to each provider’s workflows. The offering covers specialty clinics, federally qualified health centers, large health systems, and federal agencies, with all organizations running on Artera Harmony, the company’s Best-in-KLAS agentic communications platform.
From SaaS to Squads: Why Artera Restructured Its Go-to-Market Approach
Artera’s AI Services Model embeds specialized teams of AI builders directly within healthcare provider organizations to co-develop custom agentic solutions.
For years, healthcare software companies have operated on one of two models: scalable but rigid SaaS products, or bespoke consulting engagements that are expensive and slow to deliver. Artera is staking its next phase of growth on the premise that neither approach adequately serves the clinical environment.
“Healthcare leaders are seeking a holistic AI partner, rather than a series of AI point solutions. We’ve restructured to meet this moment, deploying specialized teams that marry our agentic AI power with the intimate understanding of the unique challenges within each provider segment,” said Guillaume de Zwirek, co-founder and CEO of Artera.
Under the AI Services Model, the company organizes its personnel into AI Service Squads, each dedicated to a specific provider segment. Rather than shipping standardized features on a product release schedule, each squad works directly with provider partners to build solutions tailored to the specific workflows and patient journeys of that clinic or practice.
“Traditional product development cycles — where feedback travels through multiple departments before a feature ships — are no longer competitive in the AI era. Artera’s AI Service Squads eliminate legacy processes and place small teams of AI builders directly with healthcare providers.” — Guillaume de Zwirek, Co-founder and CEO, Artera
“The way technology is built has fundamentally changed,” de Zwirek said. “Traditional product development cycles — where feedback travels through multiple departments before a feature ships — are no longer competitive in the AI era. Artera’s AI Service Squads eliminate legacy processes and place small teams of AI builders directly with healthcare providers.”
How the Squads Work and What They Build
Squad deployments begin with the most commonly requested capabilities: scheduling, intake, prior authorizations, referral management, billing and payments, and care gap closure. From there, squads build additional solutions specific to each organization’s clinical needs.
All participating organizations run on Artera Harmony, the company’s agentic communications platform covering text, phone, and web channels. The platform holds a Best-in-KLAS designation for patient communications and supports integration with a broad range of EHR and EMR systems, including Epic, Oracle Health, MEDITECH, Athena, NextGen, ModMed, eClinicalWorks, Greenway, Veradigm, AdvancedMD, and others.
The model was piloted with early partners over several months before the formal announcement. Artera did not name specific pilot organizations in the announcement.
Specialty Care, FQHCs, and Federal Agencies: A Segmented Approach
The AI Services Model is structured around four provider segments, each with distinct use cases and clinical contexts.
For specialty clinics, Artera currently serves hundreds of organizations across behavioral health, cardiology, dermatology, family medicine, gastroenterology, oncology, ophthalmology, orthopedics, otolaryngology, pediatrics, urology, women’s health, and other areas. The company says squads build specialty-specific intake flows, pre-procedure instructions, and referral workflows tuned to the clinical patterns of each specialty.
The model’s inclusion of federally qualified health centers carries particular weight. According to the Health Resources and Services Administration, FQHCs serve as primary care safety net providers for underserved and low-income populations across the country, often operating with constrained staffing and administrative resources. Artera reports that nearly 300 FQHCs currently use the platform to manage patient communications. Automating scheduling, intake, and care gap outreach at these centers could reduce administrative strain while improving access for patient populations that face the highest access barriers.
For large integrated delivery networks and health systems, Artera’s squads are positioned to address network-wide patient experience challenges across multiple facilities. The company also offers a FedRAMP High in Process version of Artera Harmony for federal agency customers.
The Administrative Burden That Created This Market
The patient communications and engagement category exists, in large part, because healthcare administration is extraordinarily expensive and labor-intensive. A landmark study published in the Journal of the American Medical Association identified administrative complexity as the single largest source of waste in the U.S. healthcare system, attributing $265.6 billion in annual waste to billing complexity, coding overhead, and the time physicians spend on quality reporting. More recent analysis, adjusted for current national health expenditure data from CMS, places that figure closer to $352 billion per year.
Prior authorization alone costs the healthcare industry an estimated $35 billion annually and contributes to delays in 92 percent of care cases, according to CMS data. Physicians spend an average of 1.5 to 2 hours on administrative tasks for every hour of direct patient care, a ratio that has become a primary driver of clinician burnout across specialties.
These are the conditions that have fueled rapid investment in front-office automation. According to one market analysis, the healthcare automation market was valued at $44.75 billion in 2025, with demand accelerating across scheduling, intake, prior authorization, and patient communications. The practical result has been a crowded vendor landscape, each competing on workflow coverage, EHR integrations, and increasingly, AI capability.
A Crowded Market with a Shifting Competitive Axis
The patient communications and engagement space is well populated. Phreesia, one of the larger publicly traded players, reported facilitating approximately 170 million patient visits in 2024 and is tracking toward roughly $477 million in revenue for fiscal year 2026, according to published financial disclosures. Its platform is built primarily around patient intake, digital check-in, and payment collection, with a strong footprint in high-volume ambulatory and specialty practices.
Luma Health positions itself as a total patient engagement platform spanning the full patient journey, and is frequently cited by user review platforms as the top alternative to both Phreesia and Relatient. Klara focuses on provider-to-patient messaging and care team communication, with a model geared toward smaller and specialty practices. Relatient competes on scheduling access and appointment logistics, with its Dash scheduling platform carrying KLAS recognition for patient self-scheduling. Additional competitors in the broader space include Solutionreach, Weave, NexHealth, Updox, and TigerConnect, each serving different practice-size and specialty segments.
What most of these vendors share is a common delivery framework: a configurable SaaS platform that providers purchase, integrate with their EHR, and configure for their workflows, often with implementation support from the vendor or a third-party consulting firm. Differentiation has historically been fought on feature breadth, integration depth, pricing, and customer service responsiveness.
Artera’s AI Services Model is a deliberate departure from that framework. Rather than selling access to a platform and leaving customization to the provider’s internal team, the company is embedding its own builders into provider organizations to construct tailored solutions. The argument is that in an agentic AI environment, where new capabilities can be built and deployed in days rather than quarters, a services-oriented engagement model can deliver value faster than any standard product roadmap.
Scale, Security, and Artera’s Competitive Position
Artera describes itself as having processed more than 2 billion patient communications annually, reaching approximately 200 million patients across more than 1,000 healthcare organizations. The company reached $100 million in contracted annual recurring revenue by the end of 2025 and closed a $65 million growth investment to accelerate distribution, according to earlier announcements.
The security posture of the platform includes SOC 2 Type 2 certification, HITRUST certification, HIPAA compliance, and the FedRAMP High designation currently in process. Artera states it does not use identifiable patient health information or personally identifiable information to train its AI models, a disclosure that carries weight for healthcare providers navigating patient privacy obligations and evolving AI governance expectations.
Whether provider organizations are prepared to adopt a services-oriented relationship with a software vendor, rather than procuring and configuring a platform internally, is a legitimate open question. The model shifts more of the solution-development work onto Artera’s builders and requires provider organizations to engage as active co-development partners. For resource-constrained specialty practices and FQHCs, that could be an attractive alternative to managing complex IT configurations. For larger health systems with established IT governance structures, it introduces questions about accountability, intellectual property ownership of custom-built workflows, and long-term vendor dependency.
What This Means for Patients
For patients, the near-term impact of this model will depend on what individual provider organizations choose to build with their assigned squads. The capabilities at the core of the model (scheduling, intake, prior authorizations, and care gap outreach) directly affect whether patients can get appointments, navigate insurance requirements, and stay connected to their care plans. At FQHCs in particular, where patients frequently face language barriers, transportation challenges, and competing social needs, the ability to automate and personalize outreach at scale has documented value for engagement and retention in care.
Artera’s disclosure that its Flows Agents have handled more than 42 million patient communication sessions annually, with 94 percent completed without staff intervention, according to company figures, offers a baseline sense of current platform scale. The AI Services Model now positions those capabilities not as a standard offering, but as a foundation for clinic-specific solutions developed in direct collaboration with the providers deploying them.
— This original article was created with AI support.
