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AI exposure report

Will AI replace Insurance Claims and Policy Processing 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

65/100

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 Insurance Claims and Policy Processing Clerks?

Not entirely. Today's AI tools can take on about 65% of the typical work in this occupation, mostly: prepare insurance claim forms or related documents, and review them for completeness. The parts that stay human include: Review and verify data, such as age, name, address, and principal sum and value of property, on insurance applications and policies.; Contact insured or other involved persons to obtain missing information.; Interview clients and take their calls to provide customer service and obtain information on claims..

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
Prepare insurance claim forms or related documents, and review them for completeness. 82%
Enter insurance- and claims-related information into database systems. 72%
Process and record new insurance policies and claims.AI already used 70%
Organize or work with detailed office or warehouse records, using computers to enter, access, search or retrieve data. 70%
Modify, update, or process existing policies and claims to reflect any change in beneficiary, amount of coverage, or type of insurance. 68%
Correspond with insured or agent to obtain information or to inform them of account status or changes. 65%

+ 19 more tasks (60% of the week) in the full test.

Your human edge

  • Review and verify data, such as age, name, address, and principal sum and value of property, on insurance applications and policies.
  • Contact insured or other involved persons to obtain missing information.
  • Interview clients and take their calls to provide customer service and obtain information on claims.

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 draft a library of 10 missing-information request letters and extract fields from 20 anonymised claim PDFs into a spreadsheet, timing before and after.

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 reads incoming claim form submissions, validates required fields, logs them to a tracking sheet and emails a chase-up, with a one-page process document.

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

Run a two-hour training session teaching three colleagues your claim-intake automations, hand over a maintenance checklist, and measure team processing time over four weeks.
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