Will AI replace Fraud Examiners, Investigators and Analysts?

AI can do 96% of the work Fraud Examiners, Investigators and Analysts do at least twice as fast. People already use it for 2 of their 23 tasks, while 17 more are ready but barely used so far. 4 still need a person.

AI is already doing this2 · 14% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Prepare written reports of investigation findings.Mostly assisted11% of time
  • Design, implement, or maintain fraud detection tools or procedures.Mostly automated4% of time

AI could do this next17 · 82% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures.11% of time
  • Gather financial documents related to investigations.10% of time
  • Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts.8% of time
  • Review reports of suspected fraud to determine need for further investigation.7% of time
  • Interview witnesses or suspects and take statements.7% of time
  • Document all investigative activities.7% of time
  • Create and maintain logs, records, or databases of information about fraudulent activity.6% of time
  • Lead, or participate in, fraud investigation teams.5% of time
  • Coordinate investigative efforts with law enforcement officers and attorneys.5% of time
  • Recommend actions in fraud cases.4% of time
  • Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques.2% of time
  • Prepare evidence for presentation in court.2% of time
  • Evaluate business operations to identify risk areas for fraud.2% of time
  • Train others in fraud detection and prevention techniques.1% of time
  • Research or evaluate new technologies for use in fraud detection systems.1% of time
  • Negotiate with responsible parties to arrange for recovery of losses due to fraud.1% of time
  • Advise businesses or agencies on ways to improve fraud detection.1% of time

Still needs a person4 · 4% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Obtain and serve subpoenas.1% of time
  • Conduct field surveillance to gather case-related information.1% of time
  • Testify in court regarding investigation findings.1% of time
  • Arrest individuals to be charged with fraud.under 1% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can already do almost all of this work at least twice as fast. Real use is still behind at 12 out of 100, so the change here is only getting started. Expect the role to shift toward deciding what to do, checking AI's work and owning the result.

What to do next

  • Do the 2 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 17 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 4 tasks that stay human. This is where your judgment, skill and relationships matter most.
Financial Quantitative Analysts100%Credit Analysts96%Loan Officers95%Personal Financial Advisors98%Financial Risk Specialists98%Budget Analysts99%

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