AI won't replace HR - But it will change how benefits are delivered. By Alex Shubat, CEO of Espresa. Espresa were shortlisted in four categories at the 2026 SaaS Awards, including 'Best SaaS Product for HR & Workforce Management'. HR teams are the backbone of any successful organization. They define the employee experience by bringing life and humanity into the mundane, creating programs that connect, and protecting the wellbeing of employees. The debate around AI in HR has focused almost entirely on job replacement, but the real shift is that HR is becoming the steward of how AI influences employee experiences, benefits, and trust. The organizations that succeed will be the ones governing it best. It's often for this reason that HR teams set expectations around AI in the workplace. Which for most teams, is an advantage, allowing HR experts to explore AI's avenues and championing human-centric applications for it. Industry research points this time period as the Fifth Industrial Revolution, with HR on the frontlines. HR is becoming an operating system for responsible AI in the workplace-balancing efficiency with employee trust. But how does this revolution impact the day-to-day functions of HR teams? It simplifies, and when done correctly, can enhance the humanity of work, not diminish it. AI tools in HR thrive with responsible and thorough implementation. Preserving humanity: using AI as a tool to support benefits. The most valuable AI programs in HR aren't replacing conversations; they're removing friction. Every minute HR spends answering repetitive administrative questions is a minute not spent improving employee programs, culture, or wellbeing. AI should eliminate low-value work so HR can invest in high-value decisions that impact employees. Consider an organization that selects an LSA platform with AI capabilities. When an employee submits a lifestyle reimbursement request, AI can provide guidance before the expense is submitted. Rather than instantly approving or denying the expense, AI can identify potential eligibility concerns while leaving the final decision to a human, referred to as a Human-in-the-Loop (HITL) approach. With human oversight built into the process, employees get useful guidance while final decisions remain with their people teams. By identifying potential eligibility issues earlier, AI can reduce administrative friction and limit the need for escalations - giving HR more time to focus on refining programs and supporting employees. This same balance between efficiency and human oversight is critical as organizations implement AI more broadly. Where AI creates the most value in Employee Benefits. While AI doesn't fit in every aspect of employee benefits, it can help streamline the administrative side and even enhance personalization for lifestyle benefits. The International Foundation of Employee Benefits Plans found that there are a few specific categories where AI can thrive. Open enrollment. During the process of benefits enrollment, it's not uncommon for HR professionals to be inundated with questions and requests for benefits information. And while those questions are necessary and valid, they often limit HR teams and their availability. Leaving less time to refine plans or improve offerings. Open enrollment shouldn't be the period when HR answers thousands of repetitive questions. AI can help employees arrive at informed decisions faster - freeing HR teams to focus on the complex conversations and insights technology can't replace. With an AI tool, employees could input their information and understand what plan may be right for them. If nothing else, it gives them a strong jumping off point, reducing confusion and frustration for employers and employees. Personalization. Personalization is where AI has enormous potential - but also where governance matters most. Recommendations should help employees discover relevant benefits without making assumptions about health, family status, or financial circumstances. Responsible personalization builds trust; over-personalization erodes it. An AI tool could help identify needs and educate employees on their benefits, ensuring they are taking full advantage of them. All without HR assistance. Data analytics. Benefits teams have always collected data. AI changes how quickly that data becomes actionable. Rather than spending weeks identifying utilization trends, HR leaders can surface emerging patterns almost immediately and adjust programs before engagement declines. The pitfalls to avoid. Understanding what AI can bring to employee benefits is critical, but it is just as important to establish guidelines that protect employees and preserve the company's core values above all else. When guidelines fall by the wayside, unchecked usage can harm the business. So when your implementation starts, consider how your program will meet these criteria. Avoid optimizing for efficiency alone. Many organizations measure AI success by time saved. Employees measure it by confidence gained. Those are not always the same metric. AI is a polarizing topic, and for good reason. While it has its pros and cons, the most important aspect of it is using it in a way that keeps employee trust. And to that end, HR leaders have an obligation to create dedicated AI guidelines that ensure it is aligned to the company's values. Keep humans accountable for critical decisions. Not every HR workflow benefits from AI. Organizations that attempt to automate every interaction often create more confusion than efficiency. The best implementations start with repetitive, low-risk tasks before expanding into more nuanced employee experiences. SHRM's research finds that 40% of workers admit AI makes them feel less intelligent, while another 30% say they can't function without it. Additional research from the National Bureau of Economic Research found that 89% of surveyed senior executives report AI has had little impact on their company productivity and bottom line. Arguments for or against AI can go on to eternity. So each company must audit their own usage, ensuring it adds value to the company without upsetting or isolating employees. Use AI to expand employee capability, not replace it. Finally, comes the issue for most employees, the idea that AI can replace them. But in truth, especially for HR folks, their experience is entirely different than an AI's. And that knowledge is strictly irreplaceable. They know the company better, they know the employees better, and they know the job better. It speaks to the ultimate goal of AI in HR; employee wellbeing. The ultimate role of HR: employee wellbeing. The future of HR won't be defined by how much work AI performs. It will be defined by how intentionally organizations decide where AI belongs - and where people remain essential. The companies that win won't necessarily have the smartest AI. They'll have the highest employee trust. That's a competitive advantage no algorithm can automate. Alex Shubat is a serial technology entrepreneur and co-founder and CEO of Espresa. Alex was the CEO of Goji Food Solutions, a pioneering company in the food tech industry funded by NEA. He co-founded Virage Logic in 1996, Alex served as the company's president and CEO until 2010, when Synopsys acquired the company. Alex is serving on multiple boards, including Santa Clara University and the University of Toronto. He has an executive M.B.A. from Stanford University, a B.S. and M.S. from the University of Toronto, Canada, and a Ph.D. from Santa Clara University.

Espresa, a global personal benefits platform, has launched Specialty Care Accounts, allowing employers to control rising specialty drug costs through pre-set annual employee allowances rather than open-ended medical plan coverage. The model addresses surging expenses from GLP-1 weight management medications, which cost $10,000–$15,000 annually per participant. The accounts establish a defined contribution that employees use for eligible care, including GLP-1s, hormone therapy and mental health services. In one case study, a financial services employer with 8,000 employees reduced GLP-1 programme costs from over $15 million to under $3 million by capping per-participant exposure at $2,200 annually. Founded in 2015, Palo Alto-based Espresa provides a platform integrating wellbeing, family care and lifestyle benefits for employers managing workforce benefits.