INVESTIGATIVE ACCOUNTING SERVICES

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NEED HELP FINDING FRAUD?


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Data Analysis

Using our proprietary Data Sleuth® process, we analyze financial data to flag abnormal, suspicious transactions and common fraud indicators.

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Tracing FUNDS & Finding Assets

Building on flagged transactions from our data analysis, we conduct in-depth investigations, including open-source intelligence, business records review, interviews, and analysis of financial evidence, to uncover hidden bank accounts and assets purchased with fraudulently obtained funds.

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Quantify Losses

Our data analysis and fraud investigative steps enable us to accurately quantify fraud losses for insurance claims, civil judgments, and law enforcement referrals.

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Case Management

Our expert fraud investigators are dedicated to keeping you informed and addressing your questions at every stage of your case.

 

LITIGATION SUPPORT & EXPERT WITNESS TESTIMONY


 

Fraud investigations, investigative accounting, and forensic accounting involve careful, evidence-based procedures that compare actual financial events with expected outcomes. This process reveals discrepancies and uncovers missing funds, providing clarity in complex financial fraud schemes. Our team of expert CPAs and CFEs simplifies intricate financial details, offering clear, actionable insights as expert witnesses in federal, state, and tribal courts.

The Data Sleuth® Process, developed by Workman Forensics, formalizes our distinctive approach to investigative accounting matters that integrates fraud investigation with advanced data analytics. This process enables our expert data analysts, investigative accountants, and fraud examiners to quantify and trace missing funds, combining traditional investigative techniques with cutting-edge data sources and evidence. We use the latest technology and personalized case management to improve thoroughness and efficiency, delivering clear and precise results.

It is through this investigative process that our forensic accountants and fraud investigators help clients find fraud.

Data Sleuth is a registered trademark of Workman Forensics, LLC in the United States.

 
 

 FEE STRUCTURE

RETAINER DEPOSIT + HOURLY BILLING OPTION

 

This fee option consists of a retainer deposit which is held in the client’s account until the matter is completed and is applied to the final invoice. Time is incurred and billed monthly at our normal hourly rates. Payment is due from the client by the 20th of each month so that work on the project may continue. For a copy of our most current rate sheet and to learn more about our services, please schedule a free consultation with a Client Services Representative at the button below.


FIXED FEE BY PHASE OPTION

 

Depending on your case's needs, a phased approach to the fraud investigation may be beneficial, allowing us to offer transparent fixed fees for each phase. This approach ensures predictable costs, enhances budgeting, and provides clear milestones, giving you greater control and peace of mind throughout the process. For more information about our fixed fee option, please schedule a free consultation with a Client Services Representative at the button below.

 

 Expert fraud investigation for businesses and individuals

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 We apply our investigative accounting, fraud investigation, and Data Sleuth® process to all kinds of business and individual financial concerns, but those most common include clients with cases involving:

  • Bank Fraud

  • Criminal Defense

  • Misappropriation of funds in an estate

  • Bankruptcy

  • Corporate Fraud

  • Embezzlement

  • Shareholder/Partnership Disputes

  • Money Laundering


When we’re not helping people find fraud, we’re helping clients find money through data analytics:

  • Create automated, data-driven tests to support and supplement internal control procedures

  • Locate inconsistencies in operational and financial data

  • Continuous auditing

  • Complex data reconciliations between systems

  • Data automation tools for tracing money for civil asset forfeiture

  • And, really, anything else that involves a complex dataset