Today’s workforce expects benefits that reflect their personal needs, whether that means financial wellness tools, mental health support, or smarter healthcare navigation. Personalization has become a baseline expectation, not an optional perk.
At the same time, employees are more concerned than ever about their privacy. Recent studies, such as PwC’s AI in Workplaces 2024 report and Cisco’s Consumer Privacy Survey 2023, indicate that nearly 80% of employees are concerned about employers using AI or personal data in ways they don’t fully understand.
In our new report, Balancing Personalization and Privacy in Benefits Administration, we examine how leading employers are solving this challenge to deliver AI-powered personalization while preserving employee trust and maintaining regulatory compliance.
Here, we highlight four key lessons from the report to help HR and benefits leaders successfully navigate this complex landscape.
Employees expect more than a generic benefits package. In fact, 71% of employees say they want benefits tailored to their life stage, personal goals, or family status.
Modern AI tools can now deliver this kind of customization at scale. Examples include:
However, employees also expect clear boundaries. Many don’t want employers to access data beyond what’s strictly necessary, even if it means missing out on specific recommendations. For example, 76% of employees report discomfort with companies collecting “excess” data for personalization.
Key Takeaway: Focus on personalization that’s both relevant and respectful. Use only the data employees have explicitly opted to share. Center benefits recommendations on clearly beneficial actions, like maximizing tax-free savings or accessing preventive care.
Privacy isn’t just about compliance. It’s also about culture. Transparent, proactive communication around how AI works can be the difference between an engaged workforce and widespread skepticism.
According to Cisco, nearly 80% of employees say they are more likely to engage with tools that offer clear explanations about how their data is being used.
Leading employers are tackling this challenge by:
Additionally, organizations are weaving privacy education into regular communications to make transparency an ongoing effort. They’re using email campaigns, benefits portals, and town halls to demystify their use of AI.
Key Takeaway: Transparency isn’t a one-time announcement. It’s an ongoing practice. Build employee trust by integrating privacy education into every benefits touchpoint, from open enrollment to wellness campaigns.
Contrary to popular belief, personalization doesn’t always require invasive data practices. In fact, some of the most effective AI-powered benefits tools are designed to protect anonymity and reduce privacy risks:
Examples from leading organizations show that this approach works:
Key Takeaway: You don’t have to sacrifice privacy for personalization. The most innovative benefits solutions deliver tailored support while keeping employee data secure and anonymous.
The risks of mishandling employee data go far beyond fines. Breaches in trust can damage morale, increase turnover, and even lead to legal action.
Consider these statistics:
The downstream effects are just as severe. Employees who lose trust in their employer’s data practices may disengage from benefits altogether, opt out of voluntary programs, or speak out publicly on social media or platforms like Glassdoor.
Key Takeaway: Protecting employee data is more than a legal requirement. It’s a business-critical imperative. Privacy missteps can erode trust, spark employee activism, and jeopardize your brand reputation.
Personalized benefits are here to stay. But without a strong foundation of organizational trust and privacy, even the most advanced tools will fall short.
By combining transparent communication, consent-first design, and privacy-conscious technology, employers can create benefits programs that employees both want and trust.
For more real-world strategies, employer examples, and actionable recommendations, download the complete report: Balancing Personalization and Privacy in Benefits Administration.