Prepare written reports of investigation findings.

“Prepare written reports of investigation findings.” is a core task performed by Fraud Examiners, Investigators and Analysts. Among the occupation's 23 rated tasks, workers place it 21st by importance (#3 most important). About 96% 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.

• Prepare legal or regulatory documents. in Documenting/Recording Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task 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 1.00. Automation potential label: T3.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.004% share of AI-use records mapped to this task
• 82% of that use is work-related
• Most common interaction: task iteration
• Average autonomy of the AI: 2.9 (1–5; higher = more autonomous)
• 97% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Working with AI vs. handing it off

Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.

How people interact with AI on this task

Other tasks in this occupation

• Gather financial documents related to investigations. · importance 4.8
• Interview witnesses or suspects and take statements. · 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
• Design, implement, or maintain fraud detection tools or procedures. · 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
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

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

@misc{singulariki-task-16046,
  title  = {Prepare written reports of investigation findings.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-16046}
}