AI is being added to everything right now, and HR and payroll teams are feeling the pressure to keep up. But this is high-stakes work — a small payroll mistake is a real problem, and the data is sensitive — so the question isn't "should we use AI?" It's "how do we get real value from it without the guesswork, the risk, and the hallucinations?"
This session is a practical, honest conversation about that. We'll explore why generic AI tools fall short in HR and payroll, what actually makes AI trustworthy here (it starts with the data, not the model), the difference between an agent and a workflow, and how to keep humans in control of the decisions that matter.
This session will qualify for 1 SHRM credit.
What's on the agenda?
-
HR and payroll are compliance heavy — a small AI mistake can be a real risk
-
AI is only as good as the data underneath it — real, connected, and current
-
You shouldn't have to choose between an agent and a workflow — you describe the outcome, the system assembles it
-
The best AI is easy and proactive, and shows up where people already work
-
Control beats autonomy — approvals, audit trails, and humans on the decisions that matter
-
Success is adoption and outcomes, not novelty — and it's okay not to have every answer
-
Live discussion and Q&A
