Design, implement, or maintain fraud detection tools or procedures.

“Design, implement, or maintain fraud detection tools or procedures.” is a core task performed by Fraud Examiners, Investigators and Analysts. Among the occupation's 23 rated tasks, workers place it 12th by importance (#12 most important). About 100% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Develop operational or technical procedures or standards. in Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T2.

Other tasks in this occupation

• Gather financial documents related to investigations. · importance 4.8
• Interview witnesses or suspects and take statements. · importance 4.7
• Prepare written reports of investigation findings. · importance 4.7
• Document all investigative activities. · importance 4.6
• Create and maintain logs, records, or databases of information about fraudulent activity. · importance 4.6
• Lead, or participate in, fraud investigation teams. · importance 4.5
• Coordinate investigative efforts with law enforcement officers and attorneys. · importance 4.5
• Testify in court regarding investigation findings. · importance 4.4
• Prepare evidence for presentation in court. · importance 4.4
• Recommend actions in fraud cases. · importance 4.3
• Review reports of suspected fraud to determine need for further investigation. · importance 4.2
• Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures. · importance 4.2
• Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques. · importance 4.1
• Evaluate business operations to identify risk areas for fraud. · importance 4.1

See all tasks on the Fraud Examiners, Investigators and Analysts page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-16050,
  title  = {Design, implement, or maintain fraud detection tools or procedures.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-16050}
}