AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Detectives and Criminal Investigators

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Prepare case files for court

    Use an agent to gather reports, interview notes, evidence references, and case timelines into a court-prep packet, then flag anything missing a source or formal field.

  2. 2

    Match suspects across records

    Use an agent to search agency records, compare aliases and identifiers, and assemble a suspect profile with links to the source records.

  3. 3

    Link case files and plan next steps

    Use an agent to read completed reports and agency files, pull out the missing facts, and draft a next-step plan tied to the evidence already on hand.

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O*NET-SOC 33-3021.00 · #209 of 923

Result context

How to read this result

Conduct investigations related to suspected violations of federal, state, or local laws to prevent or solve crimes.

National position
#209 of 923 occupations
Top 23% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 79/100
Meaningful work covered
52%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Prepare case files for court

How you could use an agent

Use an agent to gather reports, interview notes, evidence references, and case timelines into a court-prep packet, then flag anything missing a source or formal field. You get a organized file that makes it easier to prepare charges, responses, or testimony materials.

Where you stay involved

You review the packet, decide what belongs in the case file, and handle any charging, warrant, or courtroom step that must be done by an authorized person.

Review level: High

2

Match suspects across records

How you could use an agent

Use an agent to search agency records, compare aliases and identifiers, and assemble a suspect profile with links to the source records. You get a cleaned-up identity file that shows where records agree and where they still need checking.

Where you stay involved

You review any conflicting identifiers, decide whether the match is reliable, and determine what follow-up work is needed.

Review level: Medium

3

Link case files and plan next steps

How you could use an agent

Use an agent to read completed reports and agency files, pull out the missing facts, and draft a next-step plan tied to the evidence already on hand. You get a working case note that shows what to do next and what source supports each step.

Where you stay involved

You decide the direction of the investigation, approve the next tasks, and handle any warrant, arrest, or charging matter through the proper authority.

Review level: Medium

Documentation and coordination support

AI can assist without owning the physical outcome

These support steps are shown separately. They do not count as agentic workflows and do not increase this occupation's score.

Prepare scene and evidence records

Use an agent to turn your scene notes, photo log, and search assignments into a clean evidence record, then list what was marked, measured, and collected. You get a scene file that helps keep the physical work organized and easier to review later.

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

71 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency82
AI capability80
Digital actionability82
End-to-end leverage78
Safety & reversibility73
Meaningful-work coverage
52%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
30 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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