Will AI replace forensic accountants?

Updated

Fraud analysts score 53 of 100 for AI exposure. The largest share of their task time, 65%, is work AI speeds up while they stay in charge. AI can take over 15% outright, and 20% stays with people.

  • 15% AI can do it
  • 65% AI helps
  • 20% Needs a person
530100

High exposure

Higher than 81% of the 923 occupations we scored.

Task by task

We graded 23 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 15 and leaves 5 to people.

TaskAI exposure
Create and maintain logs, records, or databases of information about fraudulent activity. Structured record entry and database upkeep is routine digital work.80% AI can do it
Document all investigative activities. AI logs and summarizes activity notes; person verifies entries.70% AI can do it
Prepare written reports of investigation findings. AI drafts reports from notes; investigator reviews and signs.65% AI can do it
Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures. AI scans billing and transaction data for anomalies; analyst confirms.60% AI helps
Research or evaluate new technologies for use in fraud detection systems. AI rapidly surveys vendors and summarizes technical documentation.60% AI helps
Review reports of suspected fraud to determine need for further investigation. AI triages and scores tips; person decides next steps.58% AI helps
Design, implement, or maintain fraud detection tools or procedures. Code and rule drafting assisted; engineering and validation stay human.55% AI helps
Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques. AI summarizes trend reports; sourcing and judgement remain human.55% AI helps
Prepare evidence for presentation in court. AI organizes exhibits and summarizes records; counsel validates admissibility.50% AI helps
Gather financial documents related to investigations. Document requests are digital, but custodian contact stays human.45% AI helps
Show the other 13 tasks
TaskAI exposure
Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts. Pattern analysis and write-ups AI-assisted; investigative judgement stays human.45% AI helps
Recommend actions in fraud cases. AI drafts options from data; investigator makes final call.40% AI helps
Train others in fraud detection and prevention techniques. AI builds course materials and quizzes; instructor delivers live.40% AI helps
Evaluate business operations to identify risk areas for fraud. Document review aided by AI; site observation needs people.35% AI helps
Advise businesses or agencies on ways to improve fraud detection. Drafts recommendations from data; client context needs human advisor.35% AI helps
Coordinate investigative efforts with law enforcement officers and attorneys. Scheduling and correspondence assisted; relationships stay human-led.30% AI helps
Interview witnesses or suspects and take statements. AI helps prep questions and transcribe; interviewer leads live.25% AI helps
Obtain and serve subpoenas. AI drafts subpoena paperwork; in-person service stays human.25% AI helps
Lead, or participate in, fraud investigation teams. Team leadership and collaboration depend on human interaction.15% Needs a person
Negotiate with responsible parties to arrange for recovery of losses due to fraud. Live negotiation needs human persuasion; AI drafts only.15% Needs a person
Testify in court regarding investigation findings. Live testimony and cross-examination need human presence and accountability.5% Needs a person
Conduct field surveillance to gather case-related information. Field surveillance needs physical presence and discretion.4% Needs a person
Arrest individuals to be charged with fraud. Physical arrest carries legal authority; AI plays no role.2% Needs a person

See what AI can take on across a legal and compliance team

How fraud analysts compare

All occupations (923)

Business and financial operations (48)

Fraud analysts score 53, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 55 for business and financial operations.

Pay and outlook in the US

Median pay
$81,100 a year, May 2025
People employed
66,065 in the US, May 2025
Projected change in jobs
+4.1% from 2024 to 2034

Skills to build

  • Write SQL queries to test billing anomalies in SQL Server
  • Confirm AI-flagged transaction anomalies in Microsoft Excel
  • Hold a Certified Fraud Examiner (CFE) credential
  • Give live testimony and withstand cross-examination in court
  • Map fraud networks in Microsoft Visio diagrams

Safer roles nearby

5 related occupations with lower scores.

Questions about fraud analysts and AI

Will forensic accountants be replaced by AI?

Partly. About 4 in 10 working hours go to tasks AI can already do, mostly keeping fraud records and databases up to date and documenting investigative activity. Live testimony, field surveillance and negotiating loss recoveries stay with people, because they need a human present and accountable.

Which fraud analyst tasks does AI take over?

Record keeping and report drafting go first. Maintaining logs and databases of fraudulent activity scores 80 on AI exposure, the highest in this job, because it follows fixed formats. Documenting investigative activity scores 70, and drafting reports from notes scores 65. The analyst still reviews and signs each output.

Which fraud analyst tasks stay human?

Field surveillance, court testimony and recovery negotiations stay with people. Surveillance needs physical presence and discretion on site. Testimony requires a person who can be cross-examined and held accountable. Negotiation depends on human persuasion, and AI drafts only the written materials.

How can fraud analysts stay valuable?

Take responsibility for the review step on AI output. Test AI-flagged billing anomalies with SQL queries against transaction data, then confirm them in Excel before they reach a case file. Review every AI-drafted report in Word and sign only what you have verified. Spend the time saved on field work, interviews and testimony, where a person is required.

Next steps for fraud analysts

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