Will AI replace Credit Authorizers, Checkers, and Clerks?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

60/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Credit Authorizers, Checkers, and Clerks?

Not entirely. Today's AI tools can take on about 60% of the typical work in this occupation, mostly: evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards. The parts that stay human include: Evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards.; Interview credit applicants by telephone or in person to obtain personal and financial data needed to complete credit report.; Obtain information about potential creditors from banks, credit bureaus, and other credit services, and provide reciprocal information if requested..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards. 68%

Compile and analyze credit information gathered by investigation. 65%

Receive charge slips or credit applications by mail, or receive information from salespeople or merchants by telephone.AI already used 62%

Consult with customers to resolve complaints or verify financial or credit transactions. 60%

Obtain information about potential creditors from banks, credit bureaus, and other credit services, and provide reciprocal information if requested. 55%

Interview credit applicants by telephone or in person to obtain personal and financial data needed to complete credit report. 42%

+ 10 more tasks (34% of the week) in the full test.

Your human edge

Evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards.
Interview credit applicants by telephone or in person to obtain personal and financial data needed to complete credit report.
Obtain information about potential creditors from banks, credit bureaus, and other credit services, and provide reciprocal information if requested.

AI tools to try

Microsoft 365 Copilot or Google Gemini for WorkspaceChatGPT / Claude for emails and documentsAutomation tools (Power Automate, Zapier, Make)

Related roles

A 3-phase AI learning plan

Phase 1

Automate the routine

Emails, letters and documents from templates with AI.
Data entry and extraction from forms and PDFs.
Spreadsheet work with AI help.

Project

Use AI to extract fields from 50 anonymised credit applications and bank reference PDFs into one spreadsheet, and compare accuracy and time against manual entry.

Phase 2

Workflows across tools

Connect email, forms and spreadsheets with no-code automations.
Checks and controls on automated steps.
Document how each workflow works.

Project

Build a no-code workflow that routes incoming credit applications from email into a scored spreadsheet with approval-limit validation checks, and document it in a one-page runbook.

Phase 3

From doing to coordinating

Become the person who maintains the team's automations.
Train colleagues.
Look at roles in operations, coordination or process improvement.

Project

Train two colleagues to run and fix your credit-application automations, then publish a maintenance log and measure the team's decision turnaround before and after.

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