How Rippling's HR team uses Rippling AI for a 6,000-person company

HR teams today are managing more complexity with the same hours in the day. A missing payroll deduction, a potential flight risk, a team trending toward burnout. Every answer still requires pulling a report, exporting a spreadsheet, or digging through a system that wasn't built for the question you're asking.

AI changes this, but only when it has the full context. When payroll, benefits, time, and performance data live together, Rippling AI can investigate deductions, surface flight risks, flag burnout patterns, and project year-end liabilities in seconds, from a single prompt.

Rippling's own HR team manages a 6,000-person company this way. This guide shares the actual prompts their HRBPs, People Ops team, and managers are running right now, organized by use case so you can copy, paste, and get to work.

What's inside:

• 5 payroll prompts for back pay calculations, referral bonus tracking, missing deduction investigations, paycheck comparisons, and severance calculations

• 5 benefits prompts for premium split breakdowns, deduction audits, open enrollment comparisons, year-over-year analysis, and unenrolled employee flags

• 4 time and attendance prompts for overtime pattern analysis, burnout risk surfacing, PTO gap identification, and year-end balance forecasting

• 4 performance management prompts for calibration outlier detection, flight risk reports, review cycle comparisons, and team health scorecard generation

• 4 reporting prompts for month-by-month headcount projections, new hire compensation analysis, active and former employee views, and pay equity analysis

• All prompts run natively inside Rippling AI against live data, no exports or spreadsheets required