Financial Due Diligence Prep for Forensic Accountants with IDEA
The Problem
Quality-of-earnings work for Fraud Investigation targets starts with 18 months of trial balances and a dozen schedules that need normalization before any adjustment can be proposed.
What We Build in IDEA
AI standardizes TB data across periods, builds the QoE model, identifies add-backs with source-document evidence, and drafts the data-book — senior analysts focus on judgment calls, not reformatting. Purpose-built for teams running IDEA — uses the native API or agent integration so nothing leaves the system of record.
IDEA Integration Approach
Audit your IDEA configuration
We map the specific IDEA objects, custom fields, and workflows the automation needs to touch for your fraud investigation practice.
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.
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.