Why HR’s AI future begins with the basics
Explore seven proven use cases and a clear roadmap for AI-enhanced HR transformation
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AI is everywhere at the moment—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 organisations, the hardest part isn’t deciding if AI matters. It’s working out how to make it function across different regions, regulations, and cultures—without breaking trust or creating compliance nightmares.
A report from The Josh Bersin Company, “Maximising 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 begin with a few figures from The Josh Bersin Company report that should give every HR leader pause for thought:
- 53% of CEOs believe their company will not survive the next decade without major changes to their business model.
- Only 23% believe they can adapt quickly enough.
- And only 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 are slowing down innovation and could even be putting your business at risk.
The real problem: Bogged down in the details
Also, according to the report, most organisations are stuck at the lower end of the maturity curve:
- Level 1: Install the technology, automate some tasks, reduce 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 wishes to lead, rather than lag behind, it needs to progress to levels 3 and 4, where systems generate insights, enable agility, and create experiences that employees genuinely appreciate.
So, what’s the solution?
The report sets out a clear philosophy: integrate first, innovate second. Why? Because AI runs on data, and poor data ruins good ideas. When core HR, time, and payroll systems are connected, you have a single source of truth. That’s what makes AI useful.
And it’s not just about technology. It’s about addressing four major imperatives:
- Balance employees' needs with compliance.
- Simplify the HR technology stack.
- Create an irresistible employee experience.
- Provide managers with genuine insights—not more dashboards.
Let’s talk use cases
Here are a few highlights:
- For employees: AI assistants that answer policy questions in plain English and assist with simple tasks. No more rummaging through portals.
- For managers: Quick HR actions within Microsoft Teams, plus AI “coaches” that prepare them for difficult conversations such as pay reviews.
- For HR: Compliance copilots that track legislative changes across regions and explain what needs to happen next.
These aren’t hypothetical. They’re supported by solid figures: 81% less time spent processing HR tickets, 89% less preparation time for pay discussions, and 95% faster information retrieval. That’s the kind of ROI that attracts executive attention.
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Stories from the field: What good looks like
If you’re managing HR across multiple countries, you know the difficulty: What works in one country can fail in another. That is why the report emphasises governance, explainability, and privacy by design. AI should respect local laws, adapt to cultural norms, and demonstrate its workings—because trust is everything.
And trust begins with proper integration. These examples from the report show what good looks like. Eurobank, faced with a new Greek labour law requiring real-time 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 achieved 99% clock-in accuracy and reduced upload errors by 25%. Employees appreciated the mobile-friendly experience. Compliance was no longer a scramble—it was built into the process.
Or take BT Group, a global telecoms giant overwhelmed by 30 legacy systems and 200 workflows. Reporting took five days. Even simple data changes required an hour-long call. After consolidating 80 processes into a single platform, they saved a million productivity hours annually and switched 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 is what makes AI adoption safe, scalable, and truly valuable.
Building the business case: Survival meets strategy
Here’s a proposal your CFO can support: Fragmented systems cost money, create risk, and hinder innovation. Integrated systems reduce errors, improve compliance, and unlock AI-enabled insights that impact revenue, retention, and productivity.
Relate it to CEO priorities: Transformation is not optional, and AI is part of that. But AI without a solid foundation is a false start. Present the figures—HR transactions 90% faster, 81% less time spent processing HR tickets, 10% increase in retention—and link them to outcomes that matter: quicker workforce planning, improved employee engagement, and fewer compliance fines.
What changes first—and what changes next
Start small. Select two or three AI use cases that address genuine pain points and provide quick wins. Perhaps it’s an employee-facing assistant for policy enquiries. Perhaps it’s manager quick actions in Teams. Pair each with clear success metrics: time saved, accuracy improved, tickets reduced.
Then scale up. Progress into analytics, workforce planning, and skills intelligence—but only when your data is clean and your foundation is robust. Throughout, keep the human element front and centre. AI should explain its answers, cite sources, and support, not replace, human judgement.
The bottom line
AI will not replace the human side of HR: leadership, empathy, fairness. And without a strong foundation, it cannot deliver on its promise. According to The Josh Bersin Company report, the quickest way forward is to simplify and integrate your core systems, then layer AI where it makes work easier and decisions more intelligent.
Do that, and HR ceases to be a back-office function. It becomes a strategic driver of organisational transformation—market by market, team by team.
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