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Open enrollment and the AI fortune teller: Predicting the future without a crystal ball

Open enrollment can feel like reading a crystal ball as employers face rising health care costs and changing employee expectations. This article explores how AI can help HR forecast enrollment trends, streamline administrative tasks, and improve benefits communication while highlighting why human judgment, empathy, and strategic oversight remain essential.

by Sarah Peterson Herr, JD, Legal Editor

Open enrollment season often feels less like benefits administration and more like a visit to a fortune teller. Employees want to know whether their health care costs will rise, whether they have chosen the right plan, and whether a different option might save them money next year. Meanwhile, HR professionals are staring into their own crystal ball, trying to forecast renewal increases, employee needs and workforce expectations in an environment where certainty is in short supply.

This year, the crystal ball is especially cloudy. Health care costs continue to climb – with forecasts projecting a 10% increase in 2027 – placing pressure on employers to balance competitive benefits with budget realities. At the same time, artificial intelligence is rapidly making its way into the benefits space, promising everything from personalized plan recommendations to predictive analytics and smarter employee communications. It’s enough to make even the most seasoned HR professional feel uncertain this open enrollment season. However, the combination of HR expertise and AI-driven analytics can help clear the vision to a bright benefits future for employees and organizations alike.

AI helps drive a data-informed approach

AI can help HR move from reactive open enrollment planning to a more informed, data-driven approach. By analyzing prior enrollment patterns, claims experience, employee demographics, payroll and HRIS data, and benefits utilization trends, AI tools can help identify which plans employees are likely to choose, which benefits may be underused, and where communication gaps may be affecting participation.

These insights can support more accurate participation forecasts, help employers model the potential impact of plan design changes, and give HR a clearer view of how rising costs may affect both the organization and employees. Used thoughtfully, these tools can give HR a better sense of what may be ahead while still leaving room for human judgment, employee context, and compliance review.

Improve efficiency and streamline your open enrollment process

AI’s value is not limited to reading the tea leaves on future benefit trends. It can also improve administrative efficiency during open enrollment by automating many of the repetitive, time-consuming tasks that traditionally consume HR’s time during the season.

  • Automating Employee Questions. During open enrollment, HR often receives hundreds of similar questions about eligibility, deadlines, coverage levels, and enrollment procedures. AI-powered chatbots can provide instant answers to common questions, reducing the volume of emails and phone calls HR must handle manually.
  • Reviewing Enrollment Submissions. AI can check enrollment forms for missing information, inconsistent selections, and data-entry errors before they are submitted. Catching these issues automatically reduces the need for HR staff to review and correct forms individually.
  • Generating Communications. AI can draft enrollment reminders, benefits summaries, targeted messages, and FAQs for different employee populations. Rather than creating multiple communications from scratch, HR can use AI-generated drafts and focus on reviewing and customizing content.
  • Comparing Benefit Plans and Analyzing Costs. AI tools can extract information from plan documents and generate side-by-side comparisons of coverage options. They can also assist with cost analyses and contribution modeling, reducing the manual spreadsheet work often associated with open enrollment planning.

When incorporating AI into open enrollment, the key is to simplify the experience, not add extra burdens during an already difficult time.

Fortunately, HR does not need supernatural powers to navigate the season successfully. Although AI can help identify trends, analyze data, and provide decision support, it cannot replace the human judgment, empathy, and strategic thinking that effective benefits administration requires. Just as a fortune teller can offer clues but not guarantees, AI can provide insights without certainty.

The human touch remains vital

That is where the HR professional remains essential. HR brings the context that AI lacks: knowledge of the workforce, awareness of organizational culture, understanding of employee concerns and the ability to recognize when a technically correct answer may not be the most practical or compassionate one. HR can determine whether AI-generated recommendations align with the employer’s benefits strategy, communication goals and compliance obligations.

Most importantly, HR can translate data into guidance employees can actually use, ensuring that open enrollment remains a people-centered process rather than a purely automated one.

The challenge for HR this open enrollment season is to strike the right balance between innovation and practicality. By combining data-driven tools with thoughtful communication and employee education, employers can help workers make informed benefits decisions while managing the realities of rising costs. The future may not be fully predictable, but with the right approach, HR can trade the cloudy crystal ball for clearer insight and more confident decision-making.

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Brightmine

With more than 10,000 customers, Brightmine is a leading global provider of people data, analytics and insight – empowering HR leaders to deliver brighter business outcomes.

For more than two decades, Brightmine, formerly XpertHR, has continued to help HR leaders confidently navigate the evolving world of work through our unique combination of critical workforce data, AI-enabled technology, and trusted HR expertise.

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