AI is everywhere right now—on board agendas, in leadership meetings, and in every “future of work” headline. But here’s the reality: For HR leaders and IT managers in global organizations, the hardest part isn’t deciding if AI matters. It’s figuring out how to make it work across different regions, regulations, and cultures—without breaking trust or creating compliance nightmares.

A report from The Josh Bersin Company, “Maximizing the Impact of AI on Core HR, Time Management, and Payroll,” offers a refreshing perspective: Stop chasing shiny AI tools until your foundation is solid. That means integrated core HR, time management, and payroll systems—not just for automation, but for transformation.

Why the urgency?

Let’s start with a few numbers from The Josh Bersin Company report that should give every HR leader pause:

• 53% of CEOs believe their company won’t survive the next decade without major business model changes.
• Only 23% think they can adapt fast enough.
• And just 7% are generating new revenue from AI today.

Translation? AI isn’t a “nice to have.” It’s a survival strategy. And if your HR systems are fragmented, you’re slowing down innovation and could even be putting your business at risk.

The real problem: Stuck in the weeds

Also, according to the report, most organizations are stuck at the lower end of the maturity curve:

• Level 1: Install the tech, automate some tasks, cut costs. Necessary, but not strategic.
• Level 2: Redesign workflows for efficiency. Better, but still disconnected from business outcomes.

Sound familiar? It’s not that these steps are wrong—they’re just incomplete. If HR wants to lead, not lag, it needs to move to levels 3 and 4, where systems drive insights, enable agility, and create experiences employees actually like.

So, what’s the fix?

The report lays out a clear philosophy: integrate first, innovate second. Why? Because AI runs on data, and bad data kills good ideas. When core HR, time, and payroll systems are connected, you get a single source of truth. That’s what makes AI useful.

And it’s not just about tech. It’s about solving four big imperatives:

• Balance employee needs with compliance.
• Simplify the HR tech stack.
• Create an irresistible employee experience.
• Give managers real insights—not more dashboards.

Let’s talk use cases

Here are a few highlights:

• For employees: AI assistants that answer policy questions in plain language and help with simple tasks. No more digging through portals.
• For managers: Quick HR actions inside Microsoft Teams, plus AI “coaches” that prep them for tough conversations like compensation reviews.
• For HR: Compliance copilots that track legislative changes across regions and explain what needs to happen next.

These aren’t hypothetical. They’re backed by hard numbers: 81% less time spent processing HR tickets, 89% less prep time for pay discussions, and 95% faster info retrieval. That’s the kind of ROI that gets executive attention.

Stories from the field: What good looks like

If you’re running HR across multiple geographies, you know the pain: What works in one country can break in another. That’s why the report emphasizes governance, explainability, and privacy by design. AI should respect local laws, adapt to cultural norms, and show its work—because trust is everything.

And trust starts with proper integration. These examples from the report show what good looks like. Eurobank, faced with a new Greek labor law requiring in-the-moment time tracking, had six months to comply or risk fines of €10,000 per employee. By integrating time tracking with core HR and automating data submissions, Eurobank hit 99% clock-in accuracy and cut upload errors by 25%. Employees loved the mobile-friendly experience. Compliance was no longer a scramble—it was built into the process.

Or take BT Group, a global telecom giant drowning in 30 legacy systems and 200 workflows. Reporting took five days. Even simple data changes required an hour-long call. After consolidating 80 processes into one platform, they saved a million productivity hours annually and moved to real-time analytics. That’s not just efficiency—it’s agility.

These examples prove the point: integration isn’t glamorous, but it’s transformative. It’s what makes AI adoption safe, scalable, and genuinely valuable.

Building the business case: Survival meets strategy

Here’s a pitch your CFO can get on board with: Fragmented systems cost money, create risk, and block innovation. Integrated systems reduce errors, improve compliance, and unlock AI-enabled insights that impact revenue, retention, and productivity.

Tie it back to CEO priorities: Transformation isn’t optional, and AI is part of that. But AI without a solid foundation is a false start. Show the numbers—90% faster HR transactions, 81% less time spent processing HR tickets, 10% retention lift—and connect them to outcomes that matter: faster workforce planning, better employee engagement, and fewer compliance fines.

What changes first—and what changes next

Start small. Pick two or three AI use cases that solve real pain points and deliver quick wins. Maybe it’s an employee-facing assistant for policy questions. Maybe it’s manager quick actions in Teams. Pair each with clear success metrics: time saved, accuracy improved, tickets reduced.

Then scale. Move into analytics, workforce planning, and skills intelligence—but only when your data is clean and your foundation is strong. Throughout, keep the human element front and center. AI should explain its answers, cite sources, and support, not replace, human judgment.

The bottom line

AI won’t replace the human side of HR: leadership, empathy, fairness. And without a strong foundation, it can’t deliver on its promise. According to The Josh Bersin Company report, the fastest path forward is to simplify and integrate your core systems, then layer AI where it makes work easier and decisions smarter.

Do that, and HR stops being a back-office function. It becomes a strategic driver of enterprise transformation—market by market, team by team.