Will AI replace Fraud Examiners, Investigators and Analysts?
Estimated risk score: 59 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (40 to 78).
For the occupation as a whole, from ratings of its 23 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 13-2099.04 · Business and Financial Operations
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 6 of its 23 rated tasks. In O*NET’s words.
- Document all investigative activities.
- Prepare written reports of investigation findings.
- Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures.
- Create and maintain logs, records, or databases of information about fraudulent activity.
- Gather financial documents related to investigations.
- Review reports of suspected fraud to determine need for further investigation.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 4 of its 23 rated tasks. In O*NET’s words.
- Conduct field surveillance to gather case-related information.
- Testify in court regarding investigation findings.
- Arrest individuals to be charged with fraud.
- Obtain and serve subpoenas.
What the job is
Obtain evidence, take statements, produce reports, and testify to findings regarding resolution of fraud allegations. May coordinate fraud detection and prevention activities.
Also called: Certified Fraud Examiner (CFE), Special Investigations Unit Investigator (SIU Investigator), CFE, AML Analyst, Fraud Analyst, AML Consultant, BSA Consultant, Fraud Examiner.
Closest jobs we score by hand
In the same field (Business and Financial Operations). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate