Payroll Variance & Exception Review for Forensic Accountants with ACL Analytics

ACL Analytics Forensic Accountant Fraud Investigation

The Problem

For Fraud Investigation teams, payroll runs through IDEA include silent errors — wrong pay rates, missing PTO deductions, duplicate bonuses — that only surface when an employee complains.

What We Build in ACL Analytics

AI diffs each payroll run against the prior period, flags any variance over 5% or unusual one-time items, and holds them for approval — payroll errors caught pre-run, not post-deposit. Purpose-built for teams running ACL Analytics — uses the native API or agent integration so nothing leaves the system of record.

ACL Analytics Integration Approach

1

Audit your ACL Analytics configuration

We map the specific ACL Analytics objects, custom fields, and workflows the automation needs to touch for your fraud investigation practice.

2

Build on the ACL Analytics API or agent

Integration happens inside ACL Analytics — no data leaves the system, no parallel tool for your team to learn, no license changes.

3

Human-in-the-loop handoff

Every automation routes exceptions back to a human in ACL Analytics with enough context to act — AI handles the 80%, your team owns the judgment calls.

See this running in your ACL Analytics instance

30-minute call. We'll look at your actual ACL Analytics setup and show exactly how this workflow fits.

More About This Workflow

Payroll Variance & Exception Review for Forensic Accountants

AI diffs each payroll run against the prior period, flags any variance over 5% or unusual one-time items, and holds them for approval — payroll errors caught pre-run, not post-deposit.

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