AI in HR: How far have you raised the bar?

AI has moved from a buzzword to a real part of how HR, finance, and IT leaders evaluate their HCM software. The conversations happening in boardrooms and buying committees today aren't about whether AI belongs in these platforms. They're about what effective AI in HCM should actually do, and how to tell the difference between capability that's real and capability that's just well-presented.

Expectations for AI tools are higher now than ever, and leaders are bringing sharper questions to every evaluation.

What that means practically is the bar for what "good" looks like has changed. Leaders aren't just asking whether a platform has AI: They're asking what it actually helps their teams do, where it falls short, and whether peers in similar roles are seeing real results.

To understand where expectations are heading, Paylocity commissioned a survey of more than 500 HR, finance, and IT decision-makers. The findings paint a clear picture of how leader priorities are evolving: what they want AI to do most, where they still have questions, and what they're no longer willing to accept from platforms that treat AI as an afterthought.

Here's what the research shows, and what it means for any leader thinking seriously about where AI fits in their HCM strategy.

Leaders have raised the bar — software needs to keep up

A few years ago, AI in HCM was a differentiator. Now it's table stakes. In the study, 90% of decision-makers said AI features are important in today's HCM software, a number that signals the conversation has moved well past "is this worth exploring?" into "what should we actually be getting from this?"

That shift matters for how you evaluate your current platform. If a tool manages payroll, benefits, scheduling, and hiring, it's fair to expect it to do more than store and display data. Leaders want their software working alongside their teams, not just holding information until someone knows where to look.

And most aren't waiting to find out. Two-thirds of respondents are already using AI in their HCM solutions today. Not a single person said they weren’t interested in it.

88% also believe AI can help their teams spend more time on higher-value work, which points to what leaders are hoping for. It's not about replacing people. It's about giving skilled people more room to do the work that truly needs their judgment.

The first priority: Get repetitive work off your team's plate

When leaders describe what they want from AI, the first ask isn't predictive analytics or workforce intelligence. It's simpler: stop making my team do the same things over and over.

57% of decision-makers expect AI to automate HR processes. And when you look at where time actually goes — chasing approvals, answering the same policy questions, manually checking numbers that should have been caught automatically — that makes a lot of sense.

Good automation doesn't have to be dramatic to be valuable. It looks like payroll audits that flag issues before processing closes, so your team fixes the problem before it becomes one. It looks like employees asking routine HR questions through the platform and getting answers pulled directly from your handbook, without a ticket going to someone's inbox. It looks like approvals routing to the right person on their own, instead of stalling in an email chain.

Small, frequent friction adds up fast. AI that removes it consistently earns trust in a way that big-promise features often don't. 

The second priority: See what's coming before it arrives

Once routine work is running smoothly, leaders want something more: the ability to act earlier. One in four leaders want tools that flag turnover risk or engagement issues before they turn into exits. More than one in three want stronger predictive insight and earlier visibility into workforce trends.

What leaders want is a system that surfaces patterns while there's still time to do something about them. An HR director who starts the week with a short list of employees flagged as flight risks, along with the likely reasons, whether that's pay that's fallen behind peers or months of heavy overtime, can have a real conversation before it turns into a good employee walking out the door.

The same logic extends across functions. Finance leaders can spot rising labor costs before they hit the budget. Operations and HR can see which locations or shifts are likely to run short on coverage. Executives can walk into planning sessions with forward-looking data rather than explanations for what went wrong.

The concerns are real, and they're worth taking seriously

High adoption numbers don't mean leaders are buying in blindly. The study also surfaces where teams are holding back and why.

Security and privacy top the list. Nearly half of respondents named it their biggest barrier to AI adoption, and two-thirds said they feel cautious about how AI handles HR data. Given what's in those systems — pay information, health benefits, performance history — their caution is well-placed.

More than one-third also pointed to a knowledge gap. Many teams want to use AI effectively but aren't confident about where to start. And about 38% worry AI adoption could eventually eliminate roles.

None of these are reasons to pump the brakes entirely. They're the right questions to bring into any vendor conversation. A platform that's built with real governance, clear training, and strong security shouldn't struggle to answer them. If a vendor can't, that's a useful signal, too.

What to actually look for when you're evaluating options

So how do you cut through the positioning and find AI that holds up beyond the demo? A few questions worth asking:

• Where does the AI get its data? AI is only as useful as the information it can access. If your HR, payroll, time, and finance data live in separate systems, insights will always be partial. Look for a platform where that data is unified, so the AI can work from the full picture.
• Is it built into the tools your team already uses? Requiring people to copy data into a separate AI tool creates friction and moves sensitive information outside your secure environment. Embedded AI is easier to use and easier to govern.
• Who makes the final call? Good AI supports decisions; it doesn't make them without oversight. You should be able to see what was flagged, why, and where a person approves or adjusts before anything moves forward.
• What does security and governance actually look like? Ask specifically about access controls, data handling, and how AI activity is tracked. This isn't a checkbox question: Your IT team should feel genuinely confident in the answers.
• What support is included? Training and enablement matter more than most teams account for up front. Ask what's available during rollout and ongoing, so your team actually gets value from what you've invested in.

The right AI doesn't just promise more

It delivers consistently. Leader expectations for AI in HCM have grown because the category has had time to prove itself, and because leaders now know enough to ask better questions. The priorities are clear: Relieve the administrative load, surface problems earlier, and do both in a way that keeps people informed and in charge.

The platforms that are getting this right aren't the ones with the longest feature list. They're the ones where AI is embedded in the daily work your team actually does, built on data that's accurate and connected, and designed with the kind of governance your IT and security teams can stand behind.

When you're evaluating your options, let that be your benchmark. 

How Paylocity puts this into practice

Paylocity built its AI into one unified platform across HR, payroll, time, benefits, recruiting, scheduling, and more. Because all of that data is connected, the AI works from a complete picture rather than pulling from fragments.

In practice, that means a few things:

AI Assistant helps teams draft communications, answer questions, and move work forward, right inside the platform where work already happens. It's handled more than 1.2 million questions and generated more than 1.2 billion recommendations. AI Search turns natural language questions into fast answers, without requiring people to know exactly where to look. AI Agents handle multi-step work like routing approvals and managing handoffs, based on how your business actually runs.

And through all of it, your team stays in control. They can see what the AI flagged, why it flagged it, and where they make the final decision. That's not just a security feature; it's how good AI is supposed to work.

Ready to see it in action? Request a demo and explore how Paylocity brings practical AI into the work your HR, finance, and IT teams do every day to accelerate productivity.