What leaders actually need from AI in HR technology

Businesses are racing to adopt AI across every function. But HR is different. The data it touches, the decisions it informs, and the people it affects mean the stakes are distinct.

So, the question isn’t just whether an organization is using AI. It’s whether the AI you’re using understands HR challenges well enough to solve them.

That’s a question worth wrestling with. HR isn’t a great space for trial and error. If AI gets it wrong, it could mishandle someone’s pay or make a flawed people decision that’s hard to undo. The tools have multiplied, the demos look impressive, and yet many organizations are still waiting to see the real payoff.

Paylocity, an HR software provider, conducted a survey in September 2025 of more than 500 HR, finance, and IT leaders, asking what AI does well and doesn’t do well in their day-to-day work.

Eighty-eight percent of HR technology decision-makers believe AI can help their teams focus on higher-value work. That’s an overwhelming vote of confidence in AI’s potential to elevate HR to an even more strategic function.

But confidence in potential isn’t the same as confidence in results. That difference usually comes down to one thing: Too many human capital management technology providers talk about what AI can do instead of listening to what business leaders actually need.

The data reveals four key pain points AI must address to deliver real value for organizations.

 

Payroll errors are expensive, time-consuming, and damaging to employee trust. And yet many solutions are still reactive, designed to surface problems after the fact rather than catch them before they happen.

Forty-two percent of survey respondents said they want AI that can flag payroll irregularities early. That’s not a nice-to-have. When a payroll error slips through, it doesn’t just cost money to correct — it erodes confidence across the organization.

What leaders want is a system that identifies issues well before payroll is processed. Automated alerts that spot an employee being paid double their usual rate or a tax setup that doesn’t match an employee’s location are exactly the kind of guardrails that prevent serious, avoidable mistakes. The right technology shows administrators where there’s an anomaly and guides them to take corrective action.

Well-designed AI-powered HR tools make this possible through customizable payroll audits, variance reports that compare current and previous pay runs, and integrated timecard reviews that give admins a clear picture before anything is finalized. Prevention, done well, is built on consistency: the right checks, running every cycle, without requiring human oversight at every step.

Insight: Giving leaders the workforce visibility they need

Business leaders are under increasing pressure to make strategic decisions with data. But 35% of survey respondents named predictive analytics and workforce planning as the top capability missing from their current HR technology.

Leaders don’t just need reports that describe what happened last quarter — they need tools that help them anticipate what’s coming and plan accordingly. Which roles are at risk of turnover? Where are the skill gaps forming? What does headcount need to look like in 18 months if growth continues at its current pace?

When AI can answer those questions, HR becomes less of a support function and more of a strategic driver. That shift can be beneficial not just to CHROs, but to the executives and boards they report to.

Usability: Making AI easier to use every day

Paylocity’s research reveals a challenge that directly impacts the success of AI in HR: Nearly one-third of survey respondents cite limited internal expertise as a major obstacle to adoption.

If a tool requires deep technical knowledge to operate effectively, it’s not really built for the people who need to use it every day. HR teams are full of talented professionals who shouldn’t have to be data scientists to get value from their software.

The best AI tools meet users where they are. Natural language search, intuitive dashboards, and self-service features that don’t require IT support to configure make an AI system more usable, which encourages adoption. And adoption drives the outcomes that make the investment worthwhile.

AI capabilities continue to evolve, which makes AI fluency hard to train for in advance. Instead, it develops best through use. And people only use tools consistently when those tools don’t get in the way. Low barriers to adoption help users build confidence with the tools.

Security: Building trust through governance and control

Of all the concerns surrounding AI in HR, this one carries the most weight. Nearly half of survey respondents rank data security and privacy as the top barrier to AI adoption. Two-thirds say they feel cautious about the privacy implications of AI in HR processes. And 38% worry that AI could eliminate roles within their organization. Those concerns are legitimate.

On data security, the question every HR leader should be asking their technology provider is straightforward: How is our data protected, who can access it, and what controls do we have? The safest approach is AI that’s embedded directly in a vetted system your team already works in every day — so sensitive payroll and personnel data never has to leave the platform for a third-party tool that wasn’t built to protect it.

On job displacement, the most practical application of AI is handling repetitive, low-value tasks, freeing people to do the work that requires judgment, empathy, and strategic thinking. Instead of elimination, think reallocation. The question then becomes, where does AI have the most impact on productivity?

How to get real value from AI

The promise of AI is real. But realizing it requires a shift in how you evaluate technology.

Rather than asking what a platform can do, businesses must start by asking what their current tools aren’t doing. Where are errors slipping through? What decisions are made without enough data? Who can’t effectively use the tools already invested in? And how confident are you in your data security?

Those gaps are where the right AI delivers the most value. An HR technology partner should be able to explain, in practical terms, how its AI addresses the priorities that matter most to your organization.

Methodology

To understand perceptions of HR and payroll software, Paylocity partnered with Qualtrics to survey 501 HR and business leaders in the U.S. in September 2025. Respondents were primary decision-makers or those who participate in the decision-making process when choosing HR and payroll software vendors at their organization.

This story was produced by Paylocity and reviewed and distributed by Stacker.