AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Cashiers

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

    Complete register sales and receipts

    Use an agent to draft a checkout checklist from the items scanned, the tender type, and the register total, then prepare a clean receipt text or sale note for your review.

  2. 2

    Process returns and exchanges

    Use an agent to pull the original sale details, look up the store return rules you saved, and draft the return or exchange record with the refund or replacement amount filled in.

  3. 3

    Close register and balance cash

    Use an agent to total the day’s receipts from the register report, compare them with the cash-count sheet, and draft a closeout summary for your shift file.

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O*NET-SOC 41-2011.00 · #145 of 923

Result context

How to read this result

Receive and disburse money in establishments other than financial institutions. May use electronic scanners, cash registers, or related equipment. May process credit or debit card transactions and validate checks.

National position
#145 of 923 occupations
Top 16% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 78/100
Meaningful work covered
68%

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

Complete register sales and receipts

How you could use an agent

Use an agent to draft a checkout checklist from the items scanned, the tender type, and the register total, then prepare a clean receipt text or sale note for your review. The agent can also flag mismatches between the amount due and the payment entered so you can finish the sale faster at the counter.

Where you stay involved

You confirm the final amount, take the payment, count change when needed, and decide whether to complete or pause the sale if something does not match.

Review level: Medium

2

Process returns and exchanges

How you could use an agent

Use an agent to pull the original sale details, look up the store return rules you saved, and draft the return or exchange record with the refund or replacement amount filled in. It can also prepare a short note for the receipt or customer file so you can process the request more quickly at the register.

Where you stay involved

You check the item, look at the proof of purchase, confirm the return fits store rules, and decide whether to complete it or send it to a supervisor.

Review level: High

3

Close register and balance cash

How you could use an agent

Use an agent to total the day’s receipts from the register report, compare them with the cash-count sheet, and draft a closeout summary for your shift file. It can also highlight missing entries or mismatched totals so you can review the drawer before handoff.

Where you stay involved

You count the money, compare it with the register totals, note anything off, and decide whether the drawer is ready to hand off.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

73 / 100

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

Importance & frequency84
AI capability80
Digital actionability81
End-to-end leverage76
Safety & reversibility68
Meaningful-work coverage
68%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
28 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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