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Insurance Claims and Policy Processing Clerks
Insurance Claims and Policy Processing Clerks
The 67% risk score reflects the overall automation risk of your profession on a scale of 0–100. The higher the score, the more likely parts of your role could be handled by AI, increasing efficiency, but also raising the possibility of job disruption. Nearly all jobs include tasks that are automatable to some degree.
In this role, you 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. Your job is considered Mid Risk for AI automation.
Below is your job's AI vulnerability profile with detailed breakdowns of tasks, knowledge areas, skills, and abilities. Each item includes AI risk scores and importance ratings to help you prioritize what to focus on. Plus, explore the technology section to see what tools and software you'll likely encounter in this role.
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In the meantime explore the sections below, and don't miss the What to do next? section for practical steps you can start today.
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On the job, you would
On-the-job activities and responsibilities that define your role. Each task is analyzed for automation potential and contributes to your overall AI risk assessment.
Preparing documentation for contracts and compliance is a structured task that AI can handle, though human oversight may still be needed for complex cases.
Calculating claim amounts is a numerical task that AI can automate efficiently, given predefined rules and data.
Posting or attaching information to claim files is a routine task that can be automated with database management systems.
Transmitting claims for payment or investigation is a straightforward task that can be automated using digital communication systems.
Contacting insured individuals to obtain missing information involves interpersonal communication, which is less automatable by AI.
Reviewing insurance policies to determine coverage is a structured task that AI can automate, though complex cases may require human judgment.
Processing and recording new policies and claims is a routine task that can be automated with database systems.
Entering information into databases is a highly structured task that AI can automate with high accuracy.
Providing customer service and explaining procedures involves human interaction and understanding, which are challenging for AI to fully automate.
Knowledge
Theoretical knowledge and understanding required for your position. Knowledge areas are evaluated for AI replacement likelihood and factor into your risk score.
Administration and Management
2.44RiskAdministration and Management involve repetitive, data-driven tasks (e.g., scheduling, reporting, workflow automation) that AI can handle efficiently, while strategic decision-making remains partially human-centric.
Administrative
3.88RiskAdministrative tasks involve repetitive, rule-based processes that AI can automate efficiently with RPA and NLP.
Economics and Accounting
2.06RiskEconomics and Accounting involve repetitive data analysis, forecasting, and bookkeeping tasks that AI can automate efficiently, though some judgment-based aspects may require human oversight.
Customer and Personal Service
4.22RiskThis domain includes both routine customer service tasks (automatable) and personal interaction needs (less automatable), with AI likely to handle 60% of potential automation in the next five years.
Production and Processing
2.22RiskProduction and Processing involve repetitive, structured tasks that AI can automate efficiently, such as quality control, data analysis, and workflow management.
Skills
Practical abilities and competencies you need to perform your job effectively. Skills are assessed for automation vulnerability and help determine your AI risk level.
Reading Comprehension
3.5Active Listening
3.25Writing
3.12Speaking
3.38Mathematics
2.38Critical Thinking
3.25Active Learning
2.62Learning Strategies
2.62Monitoring
3Abilities
Innate and learned capabilities that enable you to succeed in your role. Abilities are analyzed for AI replication potential and contribute to your overall risk assessment.
Oral Comprehension
3.62RiskOral comprehension involves nuanced understanding of speech, context, and tone, which AI is advancing but not yet fully automated in complex real-world scenarios.
Written Comprehension
3.62RiskWritten comprehension involves tasks like text analysis, summarization, and question-answering, which AI already excels at through advanced NLP models. These capabilities are likely to be fully automated within 5 years.
Oral Expression
3.5RiskOral Expression involves complex, context-dependent communication that requires nuance, adaptability, and real-time interaction, which current AI systems struggle to fully replicate, though some aspects like script generation may be automated.
Written Expression
3.38RiskWritten Expression involves nuanced understanding, creativity, and context, which AI can partially replicate but not fully, limiting automation potential in complex or original tasks.
Fluency of Ideas
2.38Fluency of Ideas involves complex, context-dependent creativity and adaptability that current AI lacks, even with advancements in generative models.
Originality
2.25Originality requires creative insight and novel synthesis of ideas, which AI currently lacks, though it may generate novel content based on patterns rather than true originality.
Problem Sensitivity
3.25Problem Sensitivity requires nuanced judgment, contextual understanding, and adaptability, which current AI systems lack. While AI can analyze data, true problem sensitivity involves human intuition, ethics, and creativity.
Deductive Reasoning
3.38RiskAI excels in structured deductive tasks but may struggle with complex, context-dependent reasoning requiring human intuition.
Inductive Reasoning
3.12RiskInductive reasoning involves pattern recognition and generalization, which AI already excels at through machine learning, with further advancements likely to enhance this capability in the next five years.
Technology Used
Tools, software, and technological systems you use in your work.
Expert Insights
Expert comments on the job, click on the expert to see their answers.
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What to do next?
Your job faces a moderate automation threat. A few timely moves can put you back in the safe zone. Choose your strategy below:
Recommended for Mid Risk:
- • Upskill: Develop skills that complement AI rather than compete with it
- • Use AI: Master AI tools to increase your efficiency and value
- • Pivot Smart: Consider transitioning to roles that require human judgment and creativity
- • Stay Alert: Get notified of industry changes that could affect your role
Each tab contains curated resources designed to help you take the next step. More resources will be added over time.
Top Learning Platforms

Coursera
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LinkedIn Learning
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ADPList
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Skillshare
Hands-on creative workshops to build your portfolio.

Udemy
Affordable deep dives on tech, leadership & more.
Top Learning Platforms

Coursera
Unlimited access to 2,000+ courses from top universities.

LinkedIn Learning
Short, practical videos for on-the-job upskilling.

ADPList
Free global mentorship from experienced professionals in design, product, and tech.

Skillshare
Hands-on creative workshops to build your portfolio.

Udemy
Affordable deep dives on tech, leadership & more.
Frequently Asked Questions
Based on our analysis, a Insurance Claims and Policy Processing Clerks has a 67% AI risk score, which is considered mid risk. While some tasks in this role may be automated, the profession as a whole is moderately vulnerable from complete replacement. The key is understanding which specific aspects of your job are most vulnerable, some of which are shown on this page.
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