Artificial intelligence has rapidly moved beyond being a future concept and is now becoming an integral part of the payroll function. In the latest Payroll and Reward Insight Series session, Vickie Graham, Managing Director of Reward Strategy, was joined by Patrick Tripp, Senior Director, Product Marketing at UKG, to explore how AI is reshaping global payroll, where organisations should be focusing their efforts, and why success depends on far more than simply automating existing processes.

Throughout the discussion, one message stood out above all others: the future of payroll isn’t about replacing people with AI. It’s about empowering payroll professionals to spend less time on repetitive tasks and more time delivering strategic value.

AI is already part of payroll, whether we realise it or not

One of the first misconceptions Patrick challenged was the idea that AI has suddenly appeared overnight. While generative AI tools such as ChatGPT have accelerated public awareness, many payroll teams have already been benefiting from AI-driven technologies for years through predictive analytics, machine learning and robotic process automation.

Rather than viewing AI as a disruptive new technology, organisations should recognise it as the next stage in the evolution of payroll technology.

Just as recommendation engines quietly power services such as Spotify, Netflix and navigation apps, AI has long been embedded within enterprise software. Today’s difference is that these capabilities have become far more accessible through conversational interfaces, allowing payroll professionals to interact with systems in more natural ways.

Moving beyond the myths

Much of the conversation focused on separating perception from reality.

One of the biggest concerns surrounding AI is that it will replace payroll jobs. Patrick argued that this misses the point entirely. AI excels at automating routine, repetitive work, but human oversight remains essential.

Rather than eliminating payroll professionals, AI creates opportunities for them to focus on judgement, decision-making, stakeholder relationships and solving complex problems.

Equally important was the reminder that AI is not automatically accurate or unbiased. The quality of any output depends entirely on the data it has been trained on and the guidance users provide. Human review, validation and governance remain fundamental.

Patrick likened AI to "a very well-intentioned junior intern"—one that works incredibly hard but still needs direction, coaching and feedback to produce the best results. It’s a simple analogy that reinforces the importance of keeping people firmly at the centre of AI-enabled payroll.

Data quality remains the foundation

While AI may capture the headlines, Patrick repeatedly returned to a less glamorous but arguably more important topic: data.

Without accurate, consistent and connected payroll data, even the most sophisticated AI tools will struggle to deliver meaningful outcomes.

For organisations operating across multiple countries, this challenge becomes even greater. Bringing together payroll, HR, time and attendance, benefits and workforce data into a unified ecosystem creates the foundation that AI requires to generate useful insights and automate decision-making with confidence.

In other words, organisations hoping AI will fix fragmented payroll processes may need to solve those underlying issues first.

Compliance is emerging as one of AI’s strongest use cases

For global payroll teams, compliance continues to be one of the most complex and resource-intensive responsibilities.

Patrick highlighted compliance as one of the areas attracting the greatest interest from organisations worldwide. Managing constantly changing legislation across multiple jurisdictions is increasingly difficult, particularly when information is spread across numerous systems and providers.

AI offers an opportunity to automate much of this monitoring, helping payroll teams compare data across HR, benefits and time systems, identify inconsistencies, monitor legislative updates and flag potential compliance risks before they become costly problems.

Rather than replacing payroll expertise, AI becomes another layer of protection, helping teams stay ahead of an increasingly complex regulatory landscape.

From reactive payroll to proactive payroll

Another major shift discussed was AI’s ability to transform payroll from a reactive function into a proactive one.

Instead of identifying issues only after payroll has been processed, AI can continuously analyse patterns, detect anomalies and identify unusual payroll variances before they become larger issues.

These predictive capabilities allow payroll teams to spend less time investigating problems after the event and more time preventing them altogether.

The conversation also explored the growing role of AI assistants and intelligent agents that can help payroll professionals complete specific tasks, answer employee questions or perform root cause analysis when payroll discrepancies arise.

As these capabilities mature, payroll teams will increasingly work alongside AI rather than simply using it as another software tool.

Scaling AI responsibly

As organisations become more confident with AI, Patrick suggested that the conversation naturally shifts from individual use cases towards enterprise-wide adoption.

He outlined five areas organisations should consider when evaluating their AI maturity:

• Using AI to enhance payroll workflows, compliance and employee support.
• Building strong data readiness through integrated payroll, HR and workforce information.
• Establishing governance, controls and risk management.
• Turning payroll data into actionable insights and predictive intelligence.
• Scaling successful AI practices consistently across teams, regions and business processes.

Together, these create a roadmap that moves AI from isolated experiments to sustainable business capability.

The human element becomes even more valuable

Perhaps the strongest message from the session was that AI doesn’t reduce the importance of payroll professionals, it increases it.

As routine work becomes increasingly automated, the skills that matter most become critical thinking, judgement, communication, governance and the ability to interpret insights within a business context.

Payroll professionals remain accountable for ensuring outcomes are accurate, ethical and aligned with organisational objectives.

AI can surface information, recommend actions and automate repetitive work, but people continue to provide the expertise, context and trust that organisations depend upon.

Looking beyond automation

The webinar ultimately encouraged organisations to think beyond efficiency alone.

Automation remains an important benefit, but the real opportunity lies in using AI to improve decision-making, strengthen compliance, deliver better employee experiences and position payroll as a more strategic function within the business.

As AI capabilities continue to evolve, the organisations that benefit most are unlikely to be those chasing every new tool. Instead, success will come from combining strong data, clear governance and skilled payroll professionals who know how to work alongside intelligent technology.

The future of payroll, as Patrick concluded throughout the discussion, isn’t about humans versus AI, it’s about humans and AI delivering better outcomes together.

Want to continue the AI discussion? Join us at The Reward and Payroll Summit for our dedicated AI session- Click here for more information