AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Intelligence Analysts

Strong

AI agents could handle several recurring digital workflows in this job, while people remain responsible for judgment and final decisions.

Where agents can help most

  1. 1

    Detect organized crime patterns

    Use an agent to pull together crime-related records, compare incidents across time and place, and draft a pattern brief that links people, locations, and repeated activity.

  2. 2

    Compare intelligence sources for threats

    Use an agent to compare a lead against law-enforcement databases and other reporting, then build a short note that shows where the sources agree and where they conflict.

  3. 3

    Forecast near-term threats

    Use an agent to review current indicators, recent reports, and past cases, then draft a short forecast memo about likely near-term criminal or terrorist activity.

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O*NET-SOC 33-3021.06 · #89 of 923

Result context

How to read this result

Gather, analyze, or evaluate information from a variety of sources, such as law enforcement databases, surveillance, intelligence networks or geographic information systems. Use intelligence data to anticipate and prevent organized crime activities, such as terrorism.

National position
#89 of 923 occupations
Top 10% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 80/100
Meaningful work covered
77%

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

Detect organized crime patterns

How you could use an agent

Use an agent to pull together crime-related records, compare incidents across time and place, and draft a pattern brief that links people, locations, and repeated activity. It can help you spot clusters or recurring sequences and organize the supporting records so you can decide what the pattern really means.

Where you stay involved

You judge whether the pattern is solid, decide how to describe it, and determine whether it should be shared with another unit or authority.

Review level: High

2

Compare intelligence sources for threats

How you could use an agent

Use an agent to compare a lead against law-enforcement databases and other reporting, then build a short note that shows where the sources agree and where they conflict. It can list missing facts and help you see whether the lead is supported well enough to keep pursuing.

Where you stay involved

You decide whether the lead is reliable, resolve the conflicts that matter, and pass along anything that needs a human decision because of timing, jurisdiction, or threat level.

Review level: High

3

Forecast near-term threats

How you could use an agent

Use an agent to review current indicators, recent reports, and past cases, then draft a short forecast memo about likely near-term criminal or terrorist activity. It can organize the signs that support the forecast and note other possible explanations so you can decide what to pass on.

Where you stay involved

You judge whether the forecast is credible, decide how strongly to word it, and choose what action, if any, should follow from the analysis.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

76 / 100

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

Importance & frequency79
AI capability88
Digital actionability90
End-to-end leverage85
Safety & reversibility57
Meaningful-work coverage
77%
Physical-work modifier
Limited
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
21 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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