AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Substance Abuse and Behavioral Disorder Counselors

Limited

AI agents could help with a focused set of planning and documentation tasks, while hands-on work and judgment remain human-led.

Where agents can help most

  1. 1

    Create intake plans and confirm treatment goals

    Use an agent to turn intake interviews, records, and team notes into a draft treatment plan.

  2. 2

    Review progress and adjust care plans

    Use an agent to summarize session notes, attendance, and goal progress into a simple review memo.

  3. 3

    Orient new clients and match referrals

    Use an agent to prepare new-client orientation packets and referral lists from your program materials.

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O*NET-SOC 21-1011.00 · #399 of 923

Result context

How to read this result

Counsel and advise individuals with alcohol, tobacco, drug, or other problems, such as gambling and eating disorders. May counsel individuals, families, or groups or engage in prevention programs.

National position
#399 of 923 occupations
Top 44% of occupations
Overall AI delegation potential
Limited
Potential of score-contributing workflows
Moderate · 68/100
Meaningful work covered
74%

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

Create intake plans and confirm treatment goals

How you could use an agent

Use an agent to turn intake interviews, records, and team notes into a draft treatment plan. You supply the client history, program details, and any information from doctors, nurses, or social workers, and the agent helps organize goals, referrals, and follow-up items into a plan for your review.

Where you stay involved

You decide whether the plan fits the client, approve the goals, and change the plan when the client’s status changes. You also handle crisis situations or urgent safety concerns immediately.

Review level: High

2

Review progress and adjust care plans

How you could use an agent

Use an agent to summarize session notes, attendance, and goal progress into a simple review memo. You provide the records and target goals, and the agent compares what has been happening with the plan, drafts an updated note, and lists any items that need a team discussion.

Where you stay involved

You decide whether progress is real, whether the plan should change, and whether the client needs a higher level of care. You also act right away if there is overdose risk, withdrawal, or violence.

Review level: High

3

Orient new clients and match referrals

How you could use an agent

Use an agent to prepare new-client orientation packets and referral lists from your program materials. You enter the client’s intake information, program rules, and available services, and the agent drafts a welcome outline, a matching referral suggestion, and a follow-up list for attendance or next steps.

Where you stay involved

You lead the orientation, judge whether the person fits the program, and decide where to refer them. You also handle any behavior or eligibility concerns that come up.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Limited

Underlying methodology score

64 / 100

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

Importance & frequency77
AI capability76
Digital actionability74
End-to-end leverage70
Safety & reversibility43
Meaningful-work coverage
74%
Physical-work modifier
Limited
Safety modifier
Material
Qualitative judgment
No material constraint
O*NET task evidence
23 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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