Nayya says employees are increasingly relying on general-purpose AI tools to make healthcare and benefits decisions — often with costly consequences. A new national survey from the benefits technology provider found that more than one in four employees who acted on incorrect AI-generated benefits guidance faced unexpected healthcare costs, with some reporting losses exceeding $2,500
Artificial intelligence is rapidly becoming the default interface for workplace information. Employees now use AI tools to summarize policies, compare healthcare options, understand retirement planning, and navigate insurance coverage — frequently before speaking with HR departments or reviewing official plan documents.
But new research from Nayya suggests that trend may be introducing a new category of workforce risk: inaccurate AI-driven benefits guidance.
The company’s latest report, Confident and Wrong: The Benefits Accuracy Crisis Hiding in Plain Sight, argues that general-purpose AI platforms are increasingly influencing employee healthcare and financial decisions despite lacking access to employer-specific benefits data.
The findings highlight a growing challenge for HR leaders and benefits administrators as generative AI becomes embedded in daily employee behavior faster than enterprise governance policies can adapt.
According to the research, 90% of employees surveyed said they already use AI tools for health or financial questions, while 98% said AI explanations were easier to understand than official plan materials.
That usability gap may explain why employees are turning to AI before traditional HR resources.
The problem, according to Nayya, is accuracy.
The company found that 51% of employees who used general AI for benefits-related questions said the guidance they received was not completely correct. Among employees who acted on incorrect advice, more than one in four reported unexpected out-of-pocket expenses of at least $100. Some respondents reported financial losses exceeding $2,500.
The research was based on two April 2026 surveys involving 995 benefits-eligible U.S. employees and 126 HR and benefits professionals.
The report arrives as employers increasingly experiment with AI-powered employee support systems across HR, benefits administration, payroll, and workforce management.
Large enterprise platforms including Workday, Oracle, SAP SuccessFactors, and Microsoft are rapidly expanding generative AI capabilities aimed at improving employee self-service and reducing administrative workload.
However, Nayya’s findings underscore a critical distinction between general AI systems and enterprise-specific HR intelligence platforms.
General AI models typically do not have access to employer-specific health plans, provider networks, formularies, coverage rules, contribution structures, or compliance requirements. As a result, responses may reflect generalized insurance knowledge rather than the actual details governing an employee’s healthcare benefits.
That creates potential operational and legal risks for employers, particularly as Open Enrollment periods approach.
The report suggests many employees already assume employers bear responsibility for AI-generated benefits guidance, while employers often assume workers will independently verify coverage details before making healthcare decisions.
Nayya argues that those expectations are misaligned — and largely unspoken.
Chief Executive Officer Sarah Liebel said the broader issue is no longer whether employees will use AI for benefits navigation, but whether organizations can provide systems specifically designed for that purpose.
“Employees have decided that AI is how they navigate their benefits,” Liebel said in the report announcement.
The findings also highlight longstanding usability problems within benefits administration systems themselves.
Benefits documentation has historically been difficult for employees to interpret, often requiring navigation across carrier portals, HR systems, PDF plan summaries, and compliance documents written in highly technical language.
Generative AI tools simplify that process by providing conversational answers instantly — even when those answers are incomplete or inaccurate.
Research from Gartner shows employee expectations around digital workplace experiences increasingly mirror consumer technology interactions. Workers now expect HR systems to provide immediate, conversational, and personalized support rather than static documentation.
That shift is accelerating demand for AI-native employee experience platforms capable of integrating directly with employer benefits data.
The issue also raises broader governance questions around enterprise AI adoption.
As employees independently use external AI systems for workplace-related decisions, organizations may have limited visibility into how workers are interpreting policies, healthcare options, or financial guidance. That creates a growing challenge for HR teams attempting to maintain consistency, compliance, and employee trust.
Benefits administration providers are increasingly responding by embedding AI directly into employer-controlled ecosystems.
Nayya’s own platform positions AI as a benefits navigation layer designed around actual employer plan structures rather than generalized insurance information. The company argues that AI guidance must be grounded in real-time plan data to avoid costly inaccuracies.
Industry analysts say the issue could become more significant as AI adoption expands beyond healthcare benefits into retirement planning, payroll guidance, leave management, and workforce compliance support.
According to McKinsey & Company, AI-powered employee support systems are expected to become a central component of enterprise HR transformation strategies over the next several years.
Still, the Nayya findings suggest enterprises may need stronger AI governance frameworks around employee-facing HR technologies — especially when financial and healthcare decisions are involved.
For HR leaders, the challenge is no longer whether employees trust AI.
It is whether the AI they trust is actually connected to the systems that govern their benefits.
Market Landscape
The employee benefits technology market is rapidly evolving as organizations adopt AI-powered employee experience and self-service platforms.
Benefits navigation systems increasingly integrate conversational AI, workforce analytics, and personalized decision support to simplify healthcare enrollment and financial planning. Enterprise HR technology vendors including Workday, Oracle, SAP SuccessFactors, and Microsoft are expanding generative AI capabilities across employee support systems.
Research from Gartner and IDC shows organizations are prioritizing AI-driven employee experience tools while simultaneously addressing governance, compliance, and accuracy concerns tied to enterprise AI adoption.
Top Insights
- Nayya’s research found more than one in four employees who followed incorrect AI benefits advice faced unexpected healthcare costs, sometimes exceeding $2,500.
- Employees increasingly rely on general-purpose AI tools for healthcare and financial guidance because they are easier to understand than traditional benefits documentation.
- Generic AI systems often lack access to employer-specific benefits plans, provider networks, and coverage rules, increasing the risk of inaccurate recommendations.
- HR leaders face growing pressure to implement enterprise-controlled AI benefits navigation systems ahead of Open Enrollment periods and broader AI adoption.
- The findings highlight emerging governance challenges as employees independently use AI tools for workplace healthcare and financial decision-making.
Join thousands of HR leaders who rely on HRTechEdge for the latest in workforce technology, AI-driven HR solutions, and strategic insights
