AI boosts payroll checks but many still lack confidence

Australian organisations have widely adopted artificial intelligence in payroll compliance, but a significant share still lacks confidence in payroll accuracy, according to research from Yellow Canary.

The 2026 State of Payroll Compliance Report found 77% of organisations use AI in some form for payroll compliance. It also found 36% of organisations said they were not fully confident they were paying employees correctly. Nearly two thirds, or 64%, said they were confident in their payroll compliance.

The research drew on responses from 540 payroll, finance and compliance leaders across Australia. It examined how organisations use AI and automation as payroll environments change. The report pointed to modern awards, enterprise agreements, evolving working patterns and regulatory scrutiny as drivers of complexity.

"AI and automation are now standard parts of payroll," said Marcus Zeltzer, Founder and Managing Director, Yellow Canary. "What organisations are still working through is how those tools translate into confidence that pay outcomes are actually correct."

Split roles

The report described different roles for automation and AI across payroll compliance work. Automation typically handles repeatable execution based on established rules. AI increasingly focuses on monitoring, scanning and summarising large volumes of data.

"Automation runs payroll," said Zeltzer. "AI helps organisations see where something may need attention. They solve different problems, but they work best together."

Among the most common uses of AI in payroll compliance, 42% of organisations said they use it to monitor payroll data and detect potential compliance issues. Another 36% said they use it to track legislative and regulatory changes. A further 35% said they use it to review employment contracts against legal guidelines.

Context gap

The report argued that payroll compliance risk often sits outside structured systems. It pointed to factors such as role changes, variations in working patterns and how allowances apply across different teams. It also highlighted the potential for interpretations of awards and agreements to drift over time.

"AI is very good at highlighting signals," Zeltzer said. "But payroll accuracy depends on context, and that context often sits outside the data."

The report described incremental change as a key challenge. It said changes often occur across different parts of an organisation and over time. That can make issues hard to capture through software rules or monitoring tools alone.

"Payroll risk rarely sits entirely in one place," Zeltzer said. "It often appears in the gaps between what's calculated, what's documented, and how work actually happens day to day."

Audit shift

The research said many employers are reassessing how they review pay outcomes as payroll data volumes increase. It described a move away from point-in-time checks and towards more regular audit processes.

"What we're seeing is a shift in mindset," Zeltzer said. "Organisations are moving from asking 'did this pay run look right?' to 'how do we know our pay outcomes stay right over time?'"

The report found 57% of employers plan to implement automated payroll audit technology. It described such tools as using automation and analytics to review outcomes across pay runs, highlight trends and surface inconsistencies for further investigation.

The report also found adoption intentions vary. It said 43% of organisations reported no immediate plans to implement automated payroll audit technology. It linked the difference to resourcing, internal capability and organisational readiness.

"That gap tells us organisations are on different journeys," Zeltzer said. "The common thread is that once teams start seeing more, they start asking better questions."

Governance focus

The report said organisations show openness to technology in payroll compliance work. It also said awareness is growing about payroll risks that sit beyond contracts and documented rules.

"What's changed is the level of awareness around payroll risk," said Marcus Zeltzer, Founder and Managing Director, Yellow Canary. "AI is helping surface risks that were previously hard to see. Confidence comes when technology creates visibility across all payroll outcomes, and organisations bring the right teams and governance together to validate what's actually being paid."

The report said AI and automation will remain central features of payroll compliance operations as complexity increases. It said confidence in pay outcomes would depend on how organisations combine execution processes, visibility across payroll outcomes and human judgement over time.