Ledger Reconstruction for Investigations for Forensic Accountants with IDEA

IDEA Forensic Accountant Fraud Investigation

The Problem

Fraud Investigation forensic engagements start with incomplete books, missing backup, and thousands of transactions to reclassify by hand before any analysis can run.

What We Build in IDEA

AI ingests bank feeds, statements, and IDEA data, rebuilds a clean transaction timeline, and flags suspicious patterns — investigators start at analysis, not data entry. Purpose-built for teams running IDEA — uses the native API or agent integration so nothing leaves the system of record.

IDEA Integration Approach

1

Audit your IDEA configuration

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

2

Build on the IDEA API or agent

Integration happens inside IDEA — 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 IDEA with enough context to act — AI handles the 80%, your team owns the judgment calls.

See this running in your IDEA instance

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

More About This Workflow

Ledger Reconstruction for Investigations for Forensic Accountants

AI ingests bank feeds, statements, and IDEA data, rebuilds a clean transaction timeline, and flags suspicious patterns — investigators start at analysis, not data entry.

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