Artificial intelligence is becoming one of the most powerful tools in payroll compliance. Yet many Australian organisations remain on the sidelines.
While 77% of employers now use AI to identify compliance risks, monitor legislative changes and review contracts, a significant portion of the workforce has yet to embrace the technology.
A June 2026 survey conducted on HRD's LinkedIn revealed that 57% of respondents have no plans to use AI in payroll. Another 29% said they intend to start soon. Just 14% reported full integration.
The findings highlight a growing divide at a time when payroll compliance is becoming increasingly complex.
Rising pressure
Australian payroll teams are operating in a challenging environment.
Wage theft legislation, Payday Super reforms and frequent award updates have increased the risk attached to every pay run. For many organisations, keeping pace with change has become a major challenge.
Rohit Mathur, SVP and SBU Head, HR and Payroll at Ramco Systems, believes AI is helping organisations stay ahead of that pressure.
"Payroll is a heavily compliance-regulated industry, which means we are playing with people's salary and there's no way that we can go wrong out there," Mathur said.
Spotting change
One of AI's biggest strengths is its ability to monitor regulatory developments before they become compliance issues.
Rather than waiting for new legislation to take effect, AI tools can scan multiple sources, identify emerging changes and alert payroll teams early.
"AI is a crawler which is going all around the internet, looking at the tax authority websites, looking at forums, looking at payroll associations, on the discussions that are happening on upcoming changes. So it proactively picks up those conversations and interprets what it means for a product function."
That proactive approach extends beyond legislation.
Payroll configuration remains one of the most overlooked compliance risks. Industry-specific entitlements, allowances and leave provisions can easily be missed during system setup.
"Let's say in Australia, if there is a specific hazardous leave that needs to be incorporated for a chemical-based industry, the AI would alert to say, hey, this is a pay element that you need to configure because it's required for this region and for this industry."
Finding mistakes
Payroll errors remain a widespread concern.
Research into Australian payroll trends found that only around 35% of organisations reported payroll accuracy during every pay cycle in 2025. Less than half expressed strong confidence in their compliance capability.
This is where AI is increasingly acting as a second pair of eyes.
By analysing previous payroll runs, AI can identify unusual payment patterns, inconsistencies and potential compliance risks before employees are paid.
Mathur said the technology is particularly valuable when dealing with large volumes of payroll data.
"Humanly it becomes a very, very big task for somebody to look up various Excel sheets and ensure that there is no anomaly or there is no compliance-related issue."
Humans remain central
Despite growing automation, Mathur is clear that payroll should never become a fully autonomous process.
AI may assist with analysis, validation and recommendations, but accountability must remain with people.
"It's not that you're leaving the entire payroll to be processed by an AI. What you're using AI as is an assistant. The final validation, the final go ahead for the payments to be released or the advice to the bank still remains with people out there."
The distinction matters because payroll is directly linked to employee trust.
"Make AI do the job for you, but not let it do the work for you."
Beyond compliance
For many organisations, the long-term value of AI goes well beyond reducing errors.
A 2025 Deloitte survey found businesses using predictive payroll tools reduced unexpected compliance costs by 23%.
But the bigger opportunity may be freeing payroll professionals from administrative work.
Instead of spending hours validating spreadsheets and checking calculations, teams can focus on workforce planning, overtime trends, hiring needs and pay equity analysis.
"You're contributing more towards the growth of the organisation rather than just doing mundane, repetitive work."
Transparency gains
The impact is also being felt by employees.
AI-powered payroll assistants are making it easier for workers to understand exactly how they have been paid.
Employees can ask questions in plain language and receive immediate explanations about deductions, allowances or changes in take-home pay.
"It's an interactive assistant that can really help them decipher how they have been paid. So it's a whole lot of transparency that you bring in with the employees using AI."
Privacy question
As AI adoption grows, concerns around payroll data remain front of mind.
Mathur argues that organisations should take a cautious approach, ensuring AI models operate within their own environments rather than exposing sensitive information externally.
"The data or the LLM model should sit within your environment and not be completely going out. And at the same time they should be able to read only the metadata and not the exact data which is underlying the systems out there."
For Ramco, analysing trends without exposing personal payroll information is a critical safeguard.
"We would rather be much safer and conservative in using AI rather than overdoing it."
As payroll regulations become more demanding, AI is increasingly being positioned as both a compliance safeguard and a strategic business tool. Yet with many organisations still hesitant to adopt it, Australia's payroll transformation may only be getting started.