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Migrate from Paylocity to Rippling with clean data conversion, parallel payroll validation, and zero gaps in HR operations.
For companies migrating from Paylocity to Rippling, this covers the data migration process — converting payroll history, tax elections, benefits enrollment, and employee records from Paylocity's data structure into Rippling. thePeopleStack manages this as a structured migration project rather than a simple data export.
Companies migrating from Paylocity often underestimate the tax election and benefits re-enrollment work involved — assuming a simple data export/import will carry everything over cleanly, when in practice each data type requires its own validation and mapping process.
thePeopleStack manages the full Paylocity-to-Rippling migration, including payroll history conversion, tax election transfer, benefits re-enrollment mapping, and at least one parallel payroll run to validate accuracy before go-live.
Paylocity migrations for thePeopleStack's Rippling clients follow US payroll, tax, and benefits data conversion standards.
Canadian and cross-border operations: Paylocity is primarily a US-focused platform; for cross-border clients, Canadian payroll data typically requires separate handling since Paylocity doesn't natively support Canadian payroll operations.
Payroll history, tax elections (W-4), benefits enrollment, PTO balances, and direct deposit information all typically need to be converted from Paylocity into Rippling's equivalent data structure.
Standard mid-market migrations typically take 3–6 weeks depending on employee count, data complexity, and whether a parallel payroll run is included.
Yes, thePeopleStack always recommends at least one parallel payroll run to validate the migration before fully cutting over from Paylocity.
Paylocity's mid-tier positioning means some clients have accumulated custom configurations over time; thePeopleStack audits these before migration to determine what needs to be replicated in Rippling versus reconfigured.
Yes, thePeopleStack can run both systems in parallel for a transition period if needed, though most clients prefer a clean cutover after the parallel validation run.
