Rolling out benefits navigation AI? Here are 5 things you should know to ensure adoption

Katie Bardaro

Katie Bardaro

Head of Customer Experience

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Summary

How to move fast, earn trust and maximize adoption

We've supported dozens of companies in rolling out AI that helps employees navigate their benefits. Along the way, we've learned some hard-won lessons about what makes for a great rollout.

Key Takeaways

If you want to move fast, earn trust, and maximize adoption, adopt these 5 AI-rollout best practices: 

  • Test with skeptics first. 
  • Start by integrating AI into your benefits inbox. 
  • Embed it in the tools employees already use. 
  • Make personalization optional and light touch.
  • Roll out 2-3 months before open enrollment, not during it.

Read on for a deep dive into each one.

Test it with your biggest skeptics

Every HR team has at least one person who's deeply skeptical of AI. They've been doing this work for years, they know the edge cases, and they're convinced the AI will get something wrong. That person should be your first tester.

One HR leader we worked with did everything she could to stump the system. She tested obscure plan provisions, asked questions designed to trigger hallucinations, and tried to get the AI to say something it shouldn't. Over the course of two weeks, she went from the loudest critic to the strongest advocate. She realized the AI was giving answers that were not just accurate but more thorough and consistent than what employees were getting through other channels.

If your skeptic is convinced, trust and advocacy follow. If they find problems, you can correct them early on. Either outcome is a win.

Start with your benefits inbox

The most successful rollouts meet benefits teams where they already are: their inbox. Integrate the AI directly into your HR or benefits inbox or ticketing system so it drafts responses to incoming questions on your behalf, which you then review and send.

This approach lets every benefits manager on the team build trust in the AI through direct observation. They see the quality of responses. They gain confidence that this tool actually understands their plans. Meanwhile, the team gets immediate value: fewer hours spent on repetitive questions and faster response times.

Think of it as the “crawl” stage. It works because it removes risk while delivering results from day one.

Meet employees where they already are

Your employees don't need another app or another login. They need benefits guidance in the workflows they're already using: Slack, Teams, ServiceNow, your benefits portal, or your enterprise AI (e.g. Claude, Gemini, etc).

The rollouts that drive the highest utilization embed benefits AI into the places people already go with questions, so employees get accurate answers without changing their behavior.

One tip to accelerate adoption: when employees come to your team with a question the AI can handle, redirect them. This helps them build a familiarity with the AI, learn to trust it, and, within weeks, their habits will shift and they’ll start to go to AI first. 

Make personalization employee-led and opt‑in

Personalization is a compelling reason to use AI for benefits guidance. The AI can tailor responses to an individual's situation and priorities, guiding employees to the right benefits at the right moment.

There are two options for personalization, and successful rollouts typically start with the first one:

  1. Authenticated, but not integrated (we informally call this "Dory Mode"): Employees sign in via SSO so the AI can remember prior conversations and the preferences they've shared. Employees ask a question, share whatever context they want, and get a clear, tailored answer.  No HR data is pulled in; the personalization comes entirely from what the employee has chosen to tell it over time.
  2. HRIS-integrated: Connect your HR system so the AI knows the employee's location, age, tenure, plan elections, and dependents. Answers are personalized without the employee needing to volunteer that information, and the system can proactively surface what's most relevant to them.

Always make any level of personalization opt-in. One major tech company learned this the hard way when it required employees to share personal data with an AI benefits tool or lose access to their health plans. The backlash was immediate and severe, with employees calling the policy "coercive." The company reversed course within days. Consent tied to essential services isn't actually consent. Let employees choose to share more when they're ready, and they often will. 

Roll out 2-3 months before open enrollment, not during it

Timeline showing 3 month rollout of benefits AI adoption

It's tempting to launch benefits AI during open enrollment. That's when question volume spikes, benefits managers get the Sunday Scaries, and the inbox becomes unmanageable.

But open enrollment is the worst time to introduce a new AI assistant for benefits. Employees are overwhelmed with communications and deadlines. When they're down to the wire on plan elections, they turn to the resources they already trust: your team.

Instead, launch in a quieter period. Give employees time to discover the AI, ask low-stakes questions, and build confidence that it's a reliable resource. Then when open enrollment hits, they already know where to go. One VP of Total Rewards we work with took exactly this approach. By rolling out months before OE, her team saw 60% utilization and saved 4,500 hours in the first year alone.

Making it real

Of course, none of this works if the technology isn't up to the job. Many of the steps above are only possible with a platform robust enough to win over your biggest skeptics, flexible enough to integrate into the tools your teams and employees already use, and designed to let you add personalization incrementally as trust grows.

That's why we built Avante the way we did. Not just to be accurate and secure, but to make the rollout itself as low-friction and high-value as possible.

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