# Insurance Claims and Policy Processing Clerks

> Process new insurance policies, modifications to existing policies, and claims forms. Obtain information from policyholders to verify the accuracy and completeness of information on claims forms, applications and related documents, and company records. Update existing policies and company records to reflect changes requested by policyholders and insurance company representatives.

- **SOC code:** 43-9041.00
- **Canonical URL:** https://singulariki.com/roles/role-43-9041-00
- **Also known as:** Claims Processor, Claims Representative (Claims Rep), Claims Technician (Claims Tech), Underwriting Assistant, Claims Adjudicator, Claims Analyst, Claims Clerk, Claims Customer Service Representative (Claims CSR)
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Prepare insurance claim forms or related documents, and review them for completeness.
- Pay small claims.
- Calculate amount of claim.
- Post or attach information to claim file.
- Transmit claims for payment or further investigation.
- Contact insured or other involved persons to obtain missing information.
- Review insurance policy to determine coverage.
- Process and record new insurance policies and claims.
- Process, prepare, and submit business or government forms, such as submitting applications for coverage to insurance carriers.
- Organize or work with detailed office or warehouse records, using computers to enter, access, search or retrieve data.
- Provide customer service, such as limited instructions on proceeding with claims or referrals to auto repair facilities or local contractors.
- Correspond with insured or agent to obtain information or to inform them of account status or changes.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Administrative _(knowledge)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Time Management _(transferable_skill)_
- Oral Expression _(ability)_
- Near Vision _(ability)_
- Speech Recognition _(ability)_
- Speech Clarity _(ability)_
- Speaking _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Microsoft Word _(hot technology, in demand)_
- Microsoft Access _(hot technology)_
- Microsoft Windows _(hot technology)_
- Account management software
- Alpha Software Alpha Five
- Automated information system software
- Billing software
- Claim processing system software

## AI exposure & outlook

- **AI task-overlap index:** 95th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 84th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 90th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 97th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -3.7% growth (Declining); 20.3k annual openings; 256.7k → 247.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $48,450; 229,070 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-43-9041-00_