Majority of Payers Shift Toward Vendor-Built AI Solutions
A recent survey has revealed that nearly 80% of healthcare payers now prefer to adopt vendor-built AI healthcare tools rather than developing such capabilities in-house. The findings, published by Innovaccer, reflect a growing trend among health insurers to leverage external expertise and platforms to operationalize artificial intelligence. This transformation is being driven by the need for scalable, effective, and innovative solutions that can keep pace with the complex demands of modern healthcare.
Survey Methodology and Respondent Overview
The survey, conducted between mid-December 2025 and mid-January 2026, captured insights from 63 leaders representing a range of health insurer organizations, from regional plans to national carriers. Respondents included senior executives and C-suite members, offering a comprehensive perspective on the industry’s direction regarding AI healthcare tools.
Innovaccer’s CEO and co-founder Abhinav Shashank highlighted the significance of this shift, explaining that “the emergence of platforms allowing for more agentic orchestration is changing how payers operate.” The preference for vendor-built AI solutions underscores the importance of operational efficiency, speed to market, and the ability to scale sophisticated technologies across large organizations.
AI Adoption and Investment Trends Among Payers
The survey found that almost 78% of payers are already utilizing AI solutions to enhance care delivery. Furthermore, three-quarters of respondents indicated they are either aggressively pursuing or actively experimenting with AI in the context of care innovation. The willingness to invest in AI healthcare tools is evident in the planned budgets: 75% of payers reported intentions to allocate an average of $10 million toward AI development over the next three to five years, while a third aim to invest at least $20 million in the same period.
These planned investments reflect not only a commitment to technological advancement but also a recognition of AI’s potential to transform patient care, administrative processes, and overall operational efficiency.
Barriers to AI Operationalization in Healthcare
Despite the enthusiasm for AI, significant challenges remain in operationalizing these technologies at scale. According to the survey, 86% of respondents admitted they are not fully prepared to implement AI across their organizations. Shashank pointed out that the most critical hurdle is the underlying context and data infrastructure required to support AI healthcare tools.
Payer data often resides in legacy systems and silos, limiting accessibility and slowing the pace of AI adoption. Interoperability emerged as the top infrastructure barrier, followed by real-time data access, inadequate data architecture, and insufficient cloud capabilities. Enterprises must address these foundational issues to unlock the full potential of AI-driven solutions.
Building the Right Infrastructure for AI Success
Shashank emphasized, “If you do not have that data and context infrastructure, most of the efforts and investments in AI are not necessarily going to scale for you as an enterprise.” He stressed the importance of companies investing in robust data management and cloud infrastructure to ensure that AI healthcare tools can deliver meaningful results.
The readiness of the healthcare industry to harness AI’s benefits is thus tightly linked to advancements in data interoperability, architecture, and real-time access. Without these elements, even substantial investments in AI may fail to deliver the desired impact.
AI’s Role in Member Care and Future Directions
Despite infrastructure challenges, the value of AI in healthcare is widely acknowledged by payers. The survey found that 44% of respondents view AI as critical to achieving organizational member care objectives. Additionally, 62% identified deploying AI to support personalized member navigation as a key success factor for payers over the next three to five years.
This marks a fundamental shift in the industry’s approach, with organizations increasingly focused on solving real-world problems using AI healthcare tools. Rather than simply acquiring new technology, payers are seeking targeted solutions that address specific pain points and improve outcomes for their members.
Conclusion: The Path Forward for AI Healthcare Tools
The survey from Innovaccer underscores a pivotal moment in the healthcare sector, as payers accelerate their adoption of vendor-built AI healthcare tools. With significant investment planned and a clear recognition of AI’s strategic importance, the focus now shifts to overcoming data and infrastructure barriers to achieve scalable, impactful results. As the industry continues to evolve, organizations that successfully implement robust AI solutions stand to gain a competitive edge in delivering personalized, high-quality care to their members.
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