Oracle Fusion Cloud ERP and Paylocity integration

What moves between them

The main flow runs from Paylocity into Oracle Fusion Cloud ERP. After each payroll run, Paylocity fires a Payroll Processed webhook that triggers ml-connector to fetch the earnings, deductions, and employee records. ml-connector maps Paylocity earnings and deductions to Fusion GL accounts and cost centers, then posts the labor cost journals into Fusion's general ledger. Employee records flow the same direction so Fusion headcount and cost allocation reflect Paylocity hires, terminations, and rehires. GL postings are read-only in Paylocity, so ml-connector never writes financial entries back to payroll.

How ml-connector handles it

ml-connector stores both credential sets encrypted and refreshes the Paylocity OAuth2 token when a call returns 401. It accepts the customer-specific Oracle Fusion pod URL per instance, since Fusion publishes a unique base address per tenant. ml-connector listens for Paylocity webhook events and polls the Paylocity REST API when events arrive, fetching the full employee and pay statement records by ID. It uses the Paylocity webhook retry behavior as the primary reliability mechanism, falling back to polls if webhooks are not configured. Cost centers and GL accounts are mapped before any posting, so every payroll journal line references a GL account and cost center that already exists in Fusion. Because Paylocity is webhook-enabled, ml-connector posts to Fusion synchronously after each payroll run rather than batch polling. Every record carries a full audit trail and failed postings to Fusion can be replayed if a downstream journal operation fails.

A real-world example

A mid-sized professional services firm runs Oracle Fusion Cloud ERP for financials and project management, and uses Paylocity for payroll across three US regional offices. Before the integration, the finance team exported payroll registers from Paylocity each pay period and re-entered the labor totals into Fusion's general ledger manually, allocating costs by office and project code. Discrepancies between Paylocity headcount and Fusion labor accounts delayed month-end close. With Oracle Fusion and Paylocity connected, each payroll run posts its earnings and deductions directly into Fusion's general ledger mapped to the correct projects and cost centers, and employee changes keep Fusion headcount synchronized. Month-end close starts with all labor accounts reconciled and project allocations accurate.

What you can do

• •Post Paylocity earnings and deduction totals as journal lines into Oracle Fusion's general ledger after each payroll run, allocated to the correct cost centers and projects.
• •Keep Fusion employee records and headcount aligned with Paylocity hires, terminations, and rehires.
• •Map Paylocity earnings and deduction types to Fusion GL accounts and cost centers so payroll allocations land on valid accounts.
• •Authenticate Paylocity with OAuth2 and receive payroll completion via webhook, and Fusion with OAuth2 Bearer tokens to a customer-specific pod URL.
• •Receive webhook notifications when payroll completes, fetch the full records, and post journals to Fusion synchronously with automatic retries and a full audit trail.

Questions

Which direction does data move between Oracle Fusion and Paylocity?

The main flow is Paylocity into Oracle Fusion. Payroll earnings, deductions, and employee records move from Paylocity into Fusion, while GL accounts and cost centers are validated in both systems before any posting. Paylocity does not expose vendor invoices or GL account objects, so only payroll-related data flows between them.

How does the integration handle Oracle Fusion's customer-specific pod URL and polling requirement?

ml-connector accepts the full Fusion pod URL per customer instance, since Fusion publishes a unique base address per tenant and no shared hostname. Because Paylocity supports webhooks, ml-connector listens for Payroll Processed events and fetches records on demand rather than batch polling Fusion, so posting latency is low.

What happens if a Paylocity webhook fails to deliver or Paylocity is unavailable?

Paylocity webhooks retry automatically for up to 24 hours, and ml-connector relies on that retry behavior as the primary reliability mechanism. If webhooks are not configured, ml-connector can fall back to polling the Paylocity API on a schedule. All records carry a full audit trail, and failed postings to Fusion can be replayed if the journal call fails.