Loan officers

Evaluate applicants' creditworthiness using underwriting process and software

AI systems can now process credit applications through automated underwriting software with high accuracy, evaluating credit scores, debt-to-income ratios, and risk factors. Modern LLMs integrated with financial APIs can perform this analysis end-to-end, with human review primarily for edge cases or high-value loans.

BLS evidence: Loan officers use a process called underwriting to assess whether applicants qualify for loans, evaluating information to determine an applicant's need for a loan and ability to repay it.

Obtain, verify, and analyze applicants' financial information including credit rating and income

AI can automatically pull credit reports via API, verify income through bank statement analysis and OCR, cross-reference data sources, and flag discrepancies. The structured nature of financial verification makes this highly automatable, though some manual verification of unusual documentation may still be needed.

BLS evidence: Loan officers obtain, verify, and analyze applicants' financial information, such as credit rating and income.

Review loan agreements to ensure compliance with federal and state regulations

AI can parse loan agreements, cross-reference regulatory requirements from federal and state databases, and flag potential compliance issues with high accuracy. Legal AI tools are already performing contract review at scale, though final sign-off on compliance typically involves human oversight.

BLS evidence: Loan officers review loan agreements to ensure that they comply with federal and state regulations.

Explain different types of loans and terms to applicants

LLMs excel at explaining financial products, loan terms, interest calculations, and comparing options in natural language tailored to customer sophistication. AI chatbots and voice assistants can handle most standard explanations, with humans needed mainly for complex scenarios or building trust with high-value clients.

BLS evidence: Loan officers explain to applicants the different types of loans and the terms of each type.

Guide customers through the loan application process and answer questions

AI-powered conversational interfaces can guide applicants through forms, answer FAQs about required documents, provide status updates, and troubleshoot common issues. The structured nature of loan applications makes this highly automatable, though relationship-building and handling anxious customers may still benefit from human touch.

BLS evidence: Loan officers often answer questions and guide customers through the application process.

Approve loan applications or refer them to management for decision

AI can make approval recommendations based on underwriting criteria and risk models, but final approval authority—especially for non-standard cases or larger loans—typically requires human judgment for liability and relationship reasons. The decision-support is highly automated, but the accountability remains partially human.

BLS evidence: Loan officers approve loan applications or refer them to management for a decision.

Market lending institution products and services to potential clients

AI can generate marketing content, personalize messaging based on customer data, automate email campaigns, and identify cross-sell opportunities. However, effective marketing of financial services often requires human credibility, especially for building trust in lending relationships, limiting full automation.

BLS evidence: Many loan officers market the products and services of their lending institution.

Coordinate with multiple banks to assemble complex commercial loan packages

AI can help model complex loan structures, identify suitable banking partners, and draft term sheets, but coordinating multiple institutions involves negotiation, relationship management, and navigating institutional politics that require human judgment and trust. AI provides substantial analytical support but humans drive the coordination.

BLS evidence: Some commercial loans are so large and complex that loan officers may have to work with multiple banks to put together a package of loans.

Contact businesses or individuals to solicit new loan business

While AI can identify prospects, personalize outreach messages, and automate initial contact via email or chat, cold calling and relationship-building for loan business still heavily relies on human persuasion, trust-building, and reading social cues. AI assists but humans remain central to conversion.

BLS evidence: Loan officers contact businesses or people to ask if they need a loan, and many actively solicit new business.