# AI in finance and insurance: which tasks to automate first Updated October 2026 Across the 6.3 million US jobs in finance and insurance, the work scores 58 of 100 for AI exposure, weighted by how many people do each job. AI can take on about 977 hours a year per full-time person, 49% of a working year. The task that frees the most hours across the industry is to keep records of customer interactions or transactions, about 186 hours a year for each person who does it. AI exposure, weighted by employment 58 out of 100 High exposure Hours AI can take on 977 hours a year per full-time person Task time AI can do today 26% AI speeds up another 65% ## Tasks to automate first The 15 tasks where AI can take on the most hours across finance and insurance: how exposed each task is, how much of the job it takes and how many people do that job. Hours are per person in the role that does the task. [How we score each task](https://www.aigentcy.com/ai-exposure/methodology/). | Task and who does it | AI exposure | | --- | --- | | Keep records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken. AI transcribes and summarizes interactions into case records automatically. Done by customer service representatives. | 85% AI can do it 186 hours a year for each person in the role | | Complete contract forms, prepare change of address records, or issue service discontinuance orders, using computers. Structured form filling and address changes suit AI well. Done by customer service representatives. | 85% AI can do it 168 hours a year for each person in the role | | Determine charges for services requested, collect deposits or payments, or arrange for billing. Billing systems calculate charges and process payments with little human input. Done by customer service representatives. | 70% AI can do it 141 hours a year for each person in the role | | Contact customers to respond to inquiries or to notify them of claim investigation results or any planned adjustments. Automated emails and texts handle most outreach, complex cases need calls. Done by customer service representatives. | 65% AI can do it 132 hours a year for each person in the role | | Refer unresolved customer grievances to designated departments for further investigation. Routing rules can send unresolved cases to the right department automatically. Done by customer service representatives. | 65% AI can do it 128 hours a year for each person in the role | ## What stays with people 9% of the task time across these roles needs a person, and the output of the rest still needs someone to check it. The tasks below take the most of that time. - **26%** AI can do it - **65%** AI helps - **9%** Needs a person - Attend meetings, seminars, and programs to learn about new products and services, learn new skills, and receive technical assistance in developing new accounts. Insurance agents, 15% exposed - Monitor bank vaults to ensure cash balances are correct. Tellers, 15% exposed - Count currency, coins, and checks received, by hand or using currency-counting machine, to prepare them for deposit or shipment to branch banks or the Federal Reserve Bank. Tellers, 15% exposed - Receive and count daily inventories of cash, drafts, and travelers' checks. Tellers, 12% exposed - Arrange monies received in cash boxes and coin dispensers according to denomination. Tellers, 5% exposed ## Adoption path Start with the tasks where AI helps a person, then automate the routine ones, then give whole workflows to agents with a person approving the output. 1. ### Quick wins Claims handlers, underwriters and bank staff get case summaries and draft letters from a private AI setup. Example: Confer with customers by telephone or in person. AI helps with 50% of the time. [AI governance](https://www.aigentcy.com/services/ai-governance/) 2. ### Workflow automation First notice of loss, loan document checks, account opening and claim routing run as automations. Example: Keep records of customer interactions or transactions. AI can do 85% of it. [Process automation](https://www.aigentcy.com/services/process-automation/) 3. ### Agents An agent assesses simple claims and runs customer due diligence checks, and passes every exception to a person. 9 of the 15 tasks on this page are ones AI can do end to end, the work an agent takes on. [Private AI](https://www.aigentcy.com/services/private-ai/) ## Teams in this industry The business functions in finance and insurance, by share of the workforce, with each one's exposure. 1. [Finance and accounting, 33.6% of the workforce, score **59**](https://www.aigentcy.com/ai-for/finance/) 2. [Sales, 17.9% of the workforce, score **59**](https://www.aigentcy.com/ai-for/sales/) 3. [Operations and admin, 14% of the workforce, score **54**](https://www.aigentcy.com/ai-for/operations/) 4. [Customer service, 13.4% of the workforce, score **65**](https://www.aigentcy.com/ai-for/customer-service/) 5. [IT and software, 8.3% of the workforce, score **58**](https://www.aigentcy.com/ai-for/it/) ## Roles in finance and insurance The 20 largest roles, each linked to its task-by-task score. Shares come from the BLS industry staffing estimates, May 2025. Of the roles with at least 2% of the jobs, customer service representatives score highest at 74, general managers lowest at 44. 1. [Customer service representatives, 7.8% of the workforce, score **74** out of 100](https://www.aigentcy.com/ai-exposure/customer-service-representatives/) 2. [Insurance agents, 7.5% of the workforce, score **57** out of 100](https://www.aigentcy.com/ai-exposure/insurance-sales-agents/) 3. [Stockbrokers, 7.5% of the workforce, score **64** out of 100](https://www.aigentcy.com/ai-exposure/stockbrokers/) 4. [Tellers, 5.2% of the workforce, score **53** out of 100](https://www.aigentcy.com/ai-exposure/tellers/) 5. [Financial managers, 4.3% of the workforce, score **49** out of 100](https://www.aigentcy.com/ai-exposure/financial-managers/) 6. [Financial advisors, 4% of the workforce, score **60** out of 100](https://www.aigentcy.com/ai-exposure/financial-advisors/) 7. [Claims adjusters, 4% of the workforce, score **56** out of 100](https://www.aigentcy.com/ai-exposure/claims-adjusters/) 8. [Loan officers, 3.7% of the workforce, score **63** out of 100](https://www.aigentcy.com/ai-exposure/loan-officers/) 9. [General managers, 3.3% of the workforce, score **44** out of 100](https://www.aigentcy.com/ai-exposure/general-managers/) 10. [Administrative supervisors, 2.8% of the workforce, score **55** out of 100](https://www.aigentcy.com/ai-exposure/administrative-supervisors/) 11. [Insurance claims clerks, 2.8% of the workforce, score **72** out of 100](https://www.aigentcy.com/ai-exposure/insurance-claims-clerks/) 12. [Software developers, 2.7% of the workforce, score **59** out of 100](https://www.aigentcy.com/ai-exposure/software-developers/) 13. [Financial analysts, 2.5% of the workforce, score **58** out of 100](https://www.aigentcy.com/ai-exposure/financial-analysts/) 14. [Loan clerks, 2.3% of the workforce, score **64** out of 100](https://www.aigentcy.com/ai-exposure/loan-clerks/) 15. [Management consultants, 2% of the workforce, score **55** out of 100](https://www.aigentcy.com/ai-exposure/management-consultants/) 16. [Accountants, 1.9% of the workforce, score **60** out of 100](https://www.aigentcy.com/ai-exposure/accountants/) 17. [Office clerks, 1.6% of the workforce, score **60** out of 100](https://www.aigentcy.com/ai-exposure/office-clerks/) 18. [Insurance underwriters, 1.6% of the workforce, score **59** out of 100](https://www.aigentcy.com/ai-exposure/insurance-underwriters/) 19. [Digital marketers, 1.4% of the workforce, score **62** out of 100](https://www.aigentcy.com/ai-exposure/digital-marketers/) 20. [Secretaries, 1.4% of the workforce, score **66** out of 100](https://www.aigentcy.com/ai-exposure/secretaries/) ## Questions about AI in finance and insurance Which tasks should a bank or insurer automate first? The first task to automate is to keep records of customer interactions or transactions (85% exposed). Next come the tasks to complete contract forms (85%) and to determine charges for services requested (70%). Together they free the most hours across the industry. How many hours can AI save a bank or insurer? About 977 hours a year per full-time person, 49% of a 2,000-hour working year. For a team of 10 that is about 9,770 hours, the time of 4.9 full-time people. The figure is the share of task time AI can remove today, weighted by how many people do each job. Which roles in a bank or insurer are most exposed to AI? Of the roles with at least 2% of the jobs, customer service representatives score highest, at 74 of 100, and general managers lowest, at 44. Each role's page lists its tasks one by one. Will AI replace jobs in finance and insurance? AI can do 26% of the task time across these roles today. Another 65% gets faster with AI while a person stays in charge. 9% needs a person. One task that stays with people is to attend meetings, seminars. Where should a bank or insurer start with AI? With the quick wins: approved assistants for the tasks AI helps with, under a written AI policy. Then automate the 9 tasks on this page AI can do end to end. An AI audit maps the tasks in your team and ranks them the same way this page does. ## Next steps ### Find the tasks to automate first in your team We map the tasks in your business, score each one the way this page does and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.