AI at ADP: What It Really Means for Employee Experience and Trust

AI is moving quickly from experimentation to everyday use inside large organizations, especially when it comes to employee experience. Adoption alone is no longer the headline. What matters is whether people trust the technology, understand how it is being used, and can see real outcomes tied to that usage. At scale, those questions carry more weight and more risk.

In this episode, the focus is on how AI is shaping employee experience at ADP, what widespread adoption actually looks like, and why client trust and transparency are non-negotiable. The conversation centers on technology adoption, proof of value, and why the next year will be critical for separating AI that works from AI that only sounds good.

What We Cover
AI adoption and employee experience at scale
Why trust is foundational to AI use
Transparency as a driver of confidence
What high usage rates really signal
Why proof of impact now matters

Key Takeaways:
AI adoption is already widespread inside ADP, with 67 percent of the employee base actively using AI tools. That level of usage signals comfort and familiarity, but it also raises expectations around outcomes and accountability.

ADP’s scale matters. Paying one in six people in the United States creates a responsibility to deploy AI carefully, consistently, and in ways that protect trust across employees and clients.

Client trust is a prerequisite for AI adoption. Without transparency into how AI is used and why decisions are made, confidence erodes quickly, even when the technology performs well.

The coming year is a proving ground for AI in HR. Clients are no longer satisfied with potential. They want evidence, success stories, and clear demonstrations that AI is improving the employee experience.

Guest:
Naomi Lariviere Chief Product Officer, VP Product Management at ADP
LinkedIn:   / naomilariviere  

Hosts:
William Tincup LinkedIn: ⁠  / ⁠  
Ryan Leary LinkedIn: ⁠  / ⁠  

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