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AI exposure report
Will AI replace Loan Interviewers 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
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 scoreWill AI replace Loan Interviewers and Clerks?
Not entirely. Today's AI tools can take on about 59% of the typical work in this occupation, mostly: prepare and type loan applications, closing documents, legal documents, letters, forms, government notices, and checks, using computers. The parts that stay human include: Interview loan applicants to obtain personal and financial data and to assist in completing applications.; Verify and examine information and accuracy of loan application and closing documents.; Assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts..
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.
+ 12 more tasks (43% of the week) in the full test.
Your human edge
- Interview loan applicants to obtain personal and financial data and to assist in completing applications.
- Verify and examine information and accuracy of loan application and closing documents.
- Assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts.
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
Build an AI prompt library that drafts your 10 most-sent borrower letters (missing-docs, conditional approval, closing reminder) from anonymized file data, and log minutes saved per letter.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
Connect a no-code intake form, email and a spreadsheet so new applications auto-populate a tracking log with completeness checks, then document the workflow and test it on 20 dummy files.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 three colleagues on your closing-document checklist automation, hand over a one-page maintenance guide, and measure the team's drop in document errors over two weeks.