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AI in Benefits: Mistakes To Avoid

Benefits
Cost savings
Culture & employee experience
Member engagement
Research and insights
Wellbeing

You’ve invested – or are considering investing – in smarter tools to improve your benefits experience. So why are your people still confused, frustrated, and disengaged? 

Here are three possibilities: 

  1. You’re sending AI-generated messages that feel cold and robotic 
  1. Your people use a self-service tool that sends them in circles 
  1. Or maybe they’re using a platform that promises “personalization” but delivers none 

The result? Missed screenings. Delayed care. And a slow erosion of trust in your entire benefits offering. 

AI is a powerful ally. It can speed up support, reduce admin burden, and personalize outreach at scale. 
 
But the real magic happens when AI is combined with what matters most to your people: relevance, empathy, and human connection. 

That’s the central idea behind our eBook, The Self-Funded Employer’s Guide to AI
Because when engagement drives outcomes, your technology should help people feel seen – not processed. 

Personalization that actually feels personal 

AI is great at analyzing behavior and generating suggestions. So why do only 23% of employees feel like their benefits experience is personalized? 

Because most tools focus on automation, not design. They push out content. But they don’t stop to ask: Does this feel relevant? Human? Helpful? 

At Personify Health, we use predictive modeling alongside a method we call data mirroring – learning from similar member journeys while still giving each person control. That means health content and nudges that are behavior-driven, not biased. And yes, written and reviewed by real people. 

Because personalization doesn’t mean more messages. It means the right ones. 

Self-service with a safety net 

More than 81% of employees try to solve benefits issues on their own before reaching out. AI can make that self-service experience smoother – if it’s done right. 

Our platform uses AI to answer simple questions (like claims status or password resets), freeing up human support for more complex needs. The result? Faster service, less frustration, and more time for high-touch care where it really matters. 

When the chatbot doesn’t have the answer, a human does. That’s what trust looks like – tech that supports, not replaces, human connection. 

Where AI quietly delivers huge ROI: Fraud, waste and abuse  

When it comes to claims and fraud, waste, and abuse (FWA), AI isn’t just helpful – it can be essential.  

From catching fraud to flagging anomalies in real time, AI can reduce waste and risk faster and more accurately than manual methods alone.  

And when paired with expert human oversight, it becomes your most powerful claims defence. 

AI doesn’t sleep. It doesn’t miss patterns. And when it’s built into a unified platform like Personify’s, it becomes a cost-cutting engine you can actually trust. 

So, can you scale with AI and still feel human? 

Absolutely. If you design it that way.  

Employees want tools that feel intuitive, not transactional.  

Your teams want automation that supports, not overwhelms.  

And you need engagement that actually drives results – not just dashboards full of noise. 

That’s what our eBook unpacks: the opportunities AI brings, the risks to watch out for, and the strategies self-funded employers can use to get it right. 

What’s inside the eBook 

Explore 3 core ways AI can help self-funded employers scale with confidence: 

Plus, it shares the #1 mistake employers make when using AI – and how to avoid it. 

Learn how to scale with tech, without losing your human touch, with our eBook: The Self-Funded Employer’s Guide to AI