Obtain evidence, take statements, produce reports, and testify to findings regarding resolution of fraud allegations. May coordinate fraud detection and prevention activities.
U.S. Workers
127,450
Median Salary
$80,190
10-Year Growth
+3.1%
Annual Openings
10,300
Typical entry: Bachelor's degree
21 of 23 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Document all investigative activities.
AI: Fully automatable - AI can automatically transcribe, timestamp, classify, and format investigative activities into structured logs given recordings and metadata, enabling full automation of documentation tasks.
Prepare written reports of investigation findings.
AI: Fully automatable - AI systems in 2025 can synthesize evidence and analysis into coherent, structured written investigation reports and produce near-final drafts from provided inputs and templates.
Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures.
AI: Fully automatable - Machine learning and rule-based tools can analyze large financial datasets to detect billing anomalies, suspicious relationships, and compliance breaches with high accuracy and scalability.
Create and maintain logs, records, or databases of information about fraudulent activity.
AI: Fully automatable - AI systems can automatically extract, standardize, and maintain logs, records, and databases of fraudulent activity from reports and data feeds, enabling full automation.
Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques.
AI: Fully automatable - AI can continuously ingest, filter, and summarize news, regulatory updates, and typologies to maintain up-to-date knowledge on money laundering and criminal techniques.
Train others in fraud detection and prevention techniques.
AI: Fully automatable - AI can create and deliver training materials, interactive modules, assessments, and simulations for fraud detection and prevention, enabling comprehensive automated training.
Gather financial documents related to investigations.
AI: Partial - AI can locate and retrieve many public and electronic financial documents automatically, but access to protected records and legally controlled sources requires human authorization and intervention.
Interview witnesses or suspects and take statements.
AI: Partial - AI can conduct scripted interviews and reliably transcribe and summarize statements, but cannot fully replace human interviewers for credibility assessment, interrogation, and legal/ethical handling of witnesses or suspects.
Review reports of suspected fraud to determine need for further investigation.
AI: Partial - AI can triage and score suspected fraud reports to recommend further investigation, but final decisions typically require human judgment and contextual understanding.
Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts.
AI: Partial - AI can perform deep data analysis and entity-linking to support investigations of complex financial crime, yet cannot fully carry out all investigative activities (e.g., fieldwork, interviews, legal coordination) autonomously.
Lead, or participate in, fraud investigation teams.
AI: Partial - AI can assist as a participant by providing analysis and coordination support, but cannot fully assume leadership responsibilities that require human management, ethical judgment, and accountability.
Prepare evidence for presentation in court.
AI: Partial - AI can organize, format, and annotate evidence packages for court and help ensure chain-of-custody documentation, but human oversight is needed to meet evidentiary rules and courtroom procedures.
Coordinate investigative efforts with law enforcement officers and attorneys.
AI: Partial - AI can facilitate information sharing, scheduling, and document exchange with law enforcement and attorneys, but cannot fully perform the legal coordination, negotiations, and official communications required.
Recommend actions in fraud cases.
AI: Partial - AI can analyze case facts and propose recommended actions, but legal judgment, ethical considerations, and final decisions require human oversight and accountability.
Evaluate business operations to identify risk areas for fraud.
AI: Partial - AI can analyze operations, transactions, and controls to flag risk areas for fraud, but lacks full contextual business judgment to replace human evaluators.
Advise businesses or agencies on ways to improve fraud detection.
AI: Partial - AI can generate tailored advice on improving fraud detection (controls, analytics, rules), but implementation, change management, and regulatory nuance need human experts.
Negotiate with responsible parties to arrange for recovery of losses due to fraud.
AI: Partial - AI can draft negotiation strategies, settlement offers, and scripts and can assist with outreach, but real-world negotiation with legal and interpersonal stakes typically requires human negotiators.
Design, implement, or maintain fraud detection tools or procedures.
AI: Partial - AI can assist strongly in designing, implementing, and maintaining detection tools (prototyping code, models, monitoring), but complex architecture, integration, and accountability still require human engineers.
Obtain and serve subpoenas.
AI: Partial - AI can draft subpoenas, prepare filings, and suggest service strategies but cannot perform official filings, execute service where jurisdictional/physical presence is required, or assume legal authority.
Conduct field surveillance to gather case-related information.
AI: Partial - AI can analyze video feeds, run remote sensors or drones, and support surveillance planning, but in-person field surveillance and on-the-ground judgement calls cannot be fully automated.
Research or evaluate new technologies for use in fraud detection systems.
AI: Partial - AI can comprehensively survey literature, benchmark tools, and generate evaluations and recommendations but cannot fully replace human experts for strategic integration, legal, and organizational judgment.
Arrest individuals to be charged with fraud.
AI: Not automatable - Arresting individuals requires sworn law‑enforcement authority, physical action, and legal discretion that AI cannot perform.
Testify in court regarding investigation findings.
AI: Not automatable - AI cannot testify in court because testimony requires a human witness, oath, courtroom presence, and responsiveness to cross-examination, though AI can draft testimony materials.