Client Onboarding for Forensic Accountants with ACL Analytics

ACL Analytics Forensic Accountant Fraud Investigation

The Problem

Onboarding a new Fraud Investigation client means chasing prior-year returns, engagement letters, and a dozen document requests — and every delay pushes the first billable task further out.

What We Build in ACL Analytics

AI drafts the engagement letter, generates a tailored document-request list for the client's Fraud Investigation profile, chases missing items across email and IDEA, and hands the partner a ready-to-work file — first billable task starts in 3 days, not 3 weeks. 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

Client Onboarding for Forensic Accountants

AI drafts the engagement letter, generates a tailored document-request list for the client's Fraud Investigation profile, chases missing items across email and IDEA, and hands the partner a ready-to-work file — first billable task starts in 3 days, not 3 weeks.

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