AI Payroll Data Validation Agent

How Cassidy automates payroll validation using AI

Step 1: Trigger on data ingestion events

The Workflow activates when payroll data arrives from connected sources—HRIS platforms like Workday or Oracle HCM, time and attendance systems, benefits feeds, or prior-cycle retro files—validating schema, control totals, and required fields on intake.

Step 2: Run pre-payroll validation and anomaly detection

Cassidy applies policy rules and historical baselines to flag exceptions: pay rate deltas outside comp bands, duplicate employees or payments, missing tax codes, banking format errors, and element spikes versus prior cycles. Each finding is scored by severity and materiality.

Step 3: Route exceptions to owners with context

Flagged anomalies are triaged into exception queues and routed to the right team—HR ops, payroll vendor, or manager—with root-cause hints, due dates, and SLA tracking. Cassidy auto-requests missing data where appropriate.

Step 4: Execute cross-system reconciliations

The Workflow runs three-way checks: HRIS master data versus payroll register, payroll register versus payment file totals, and payroll expense versus GL pre-posting. Variances above threshold are surfaced with element-level comparisons.

Step 5: Capture approvals and generate audit artifacts

Sign-offs flow through Human-in-the-Loop checkpoints with segregation of duties enforced. Cassidy logs every approval, variance explanation, and control attestation—producing audit-ready evidence packs aligned to SOX and SOC requirements.

Step 6: Post journals and update dashboards

Once validated, standardized payroll journals post to your ERP/GL with proper cost center and entity mapping. Real-time dashboards refresh with cycle KPIs—FTAR, exception aging, on-time pay percentage—and flag any control degradation for immediate attention.