How Can AI Help You Run Payroll Better?
See how AI can help with the payroll work you do every day, from investigating variances, retro and prior-period adjustments to validating results, managing HCM and legislative changes, and working with your IT team.
Practical Use Cases
Real payroll examples you can use
Understand AI for Payroll
In simple, non-technical language
Validate with Confidence
Retro, prior-period, one-off changes and more
Keep Your Data Private
How to use AI safely with sensitive payroll data
Work Better with IT
Right questions, better collaboration, faster results
Meet the Presenters
Ravi Ayyalaraju
Ravi brings deep experience in enterprise application testing, change management and AI-driven transformation across SAP, Oracle and Workday, the platforms that run payroll and HCM for most large enterprises. He works directly with enterprise leaders who are bringing AI into how they validate change and approve results with confidence.
David Pickrell
David has spent 20+ years helping large enterprises manage change faster and with less risk. He developed the SAP Change Velocity Framework and brings hands-on experience from leadership roles at Worksoft, Oracle and IBM/Tivoli. That same discipline applies to payroll, where every release, legislative update and business change has to be validated before the next pay run.
From Payroll Processing to Payroll Assurance
Workday, SAP SuccessFactors, Oracle and PeopleSoft already automate most payroll processing. But when a result changes unexpectedly, your team still has to work out what happened, why it happened, whether it is correct, and whether you are confident enough to approve it. This session shows how AI can do the investigation, evidence gathering and comparison behind each payroll exception, while experienced payroll professionals keep the final approval.
Investigating Payroll Variances
Start with the question your team hears every pay cycle: why did this employee's net pay change? Then follow the evidence from the variance to its root cause, through gross pay, taxes, deductions and the employee and business events behind them.
Retro, Prior-Period and Complex Exceptions
How AI can connect effective-dated events, payroll results, rules and prior payrolls to explain retro changes, prior-period adjustments, leaves, bonuses, tax changes and deductions.
Can You Trust the AI's Answer?
A plausible explanation is not enough. Learn an evidence-based approach where each answer is backed by payroll events, calculations and configuration, compared against the expected outcome, and confirmed by a person.
Privacy by Design for Payroll AI
How to remove, tokenize, generalize or control sensitive employee data before it reaches an AI model, and why the AI usually needs the payroll context rather than the employee's identity.
AI for Continuous HCM Change
How AI can help your team handle legislative updates, business changes and Workday, SAP and Oracle releases, from deciding whether a change applies to you through impact, testing and payroll validation.
The Human and AI Payroll Operating Model
Where AI should investigate and prepare, where payroll professionals must decide, and why the goal is confident approval rather than autonomous payroll.