AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Tellers

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

    Verify withdrawals and count cash

    Use an agent to pull together the check details, account status, and identification notes from the teller system, then prepare the payment record and receipt for your review.

  2. 2

    Accept deposits and post amounts

    Use an agent to review a deposit slip against the cash and checks presented, note endorsement issues, and prepare the transaction entry and receipt.

  3. 3

    Balance cash drawer and report differences

    Use an agent to total the day’s transactions, compare the drawer count with the system record, and format a short list of any differences.

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O*NET-SOC 43-3071.00 · #28 of 923

Result context

How to read this result

Receive and pay out money. Keep records of money and negotiable instruments involved in a financial institution's various transactions.

National position
#28 of 923 occupations
Top 4% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 87/100
Meaningful work covered
62%

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

Verify withdrawals and count cash

How you could use an agent

Use an agent to pull together the check details, account status, and identification notes from the teller system, then prepare the payment record and receipt for your review. It can help you compare the written and numeric amounts, count out the cash, and keep the transaction entry organized.

Where you stay involved

You decide whether the documents and account information support the payout, then hand over the cash and finish the transaction. You also stop the payment if something does not look right.

Review level: High

2

Accept deposits and post amounts

How you could use an agent

Use an agent to review a deposit slip against the cash and checks presented, note endorsement issues, and prepare the transaction entry and receipt. It can also keep the deposit paperwork together so you can quickly see whether the amount posted matches what was received.

Where you stay involved

You check the deposit, decide whether it can be accepted as presented, and correct or stop the transaction if the paperwork does not match. You handle the customer-facing part of the deposit.

Review level: High

3

Balance cash drawer and report differences

How you could use an agent

Use an agent to total the day’s transactions, compare the drawer count with the system record, and format a short list of any differences. It can sort the supporting slips and help you close out the shift with a balanced report to review.

Where you stay involved

You count the cash and checks, check the totals, and decide what to do if the drawer still does not balance. You also report unresolved shortages or overages to the right person.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

80 / 100

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

Importance & frequency92
AI capability85
Digital actionability91
End-to-end leverage86
Safety & reversibility80
Meaningful-work coverage
62%
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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