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AI use cases in banking: A roadmap to smarter decisions & stronger outcomes

Sriram Tirunellayi
July 24, 2025
Read Time: 0 min
Lightbulb and coins

AI value opportunities for banks and credit unions: A sample 

AI is reshaping how financial institutions operate, compete, and deliver value. Learn some of the areas in banking where predictive and generative AI are creating the most value and where to start.

A framework for AI opportunity for financial institutions

Artificial intelligence (AI) is no longer a future-facing technology — it’s a present-day differentiator. Across banking, AI is reshaping how financial institutions operate, compete, and deliver value. From marketing to compliance, the most promising AI use cases in banking help organizations improve decision-making, reduce operational risk, and grow more efficiently. This article explores a sample of opportunities where AI creates the most value today by showing major areas of banking where artificial intelligence (either predictive or generative) can be useful. It also explains how financial institutions can safely begin or accelerate their AI journey and identify applications for the technology in their own banks or credit unions.

Learn the basics of AI and an approach to adopting it.

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Examples of current AI applications across banking

There are two primary forms of AI driving transformation: predictive AI, which forecasts outcomes and detects patterns, and generative AI, which creates new content from existing data sources​.

The graphic below illustrates dozens of current AI applications across the banking lifecycle.

Graph of automation and AI-driven value opportunities

Current applications of artificial intelligence across banking fall into six core areas of opportunity, described below along with examples of how financial institutions are already benefitting from AI on these fronts:

  1. Marketing and sales

AI enables personalized engagement and smarter targeting for bank and credit unions’ marketing and sales.

  • Predictive models forecast customer lifetime value
  • Generative tools create hyper-personalized messaging and offer recommendations
  • AI segments audiences for cross-sell campaigns and streamlines onboarding

Personalizing content on JPMorgan’s mobile phone apps helped increase engagement rates by 25%, the company said during its May Investor Day.

  1. Prospecting and onboarding

AI can reduce friction in early-stage customer interactions for banking services.

  • Automate document verification and identity validation
  • Prepopulate onboarding forms and streamline KYC workflows
  • Use chatbots for initial data collection and customer guidance

Costs to verify investment bank clients are down 40% where AI is being deployed across the workflow, JPMorgan also said.

  1. Credit risk underwriting and review

AI enhances accuracy and speed in credit decisions, helping lenders make good decisions quickly.

  • Predictive models analyze cash flow, credit scores, and risk thresholds
  • Generative AI assists in drafting credit memos and narrative summaries for loan reviews
  • Real-time data integration supports more holistic, dynamic underwriting​

Bankers Trust, a $7 billion community bank, reduced its commercial loan process for certain loans from two weeks to three to five days using Abrigo’s loan origination for smaller commercial loans, which automates decisioning and features AI-powered loan scoring. And Abrigo’s Loan Review Assistant allows credit risk review staff to evaluate credit quality and document insights in minutes rather than days.

  1. Operations

Financial institutions can improve back-office efficiency with AI automation.

  • AI routes payments, classifies documents, and extracts insights
  • Automated financial spreading saves hours of manual entry
  • Collections strategies are optimized through borrower-level pattern recognition

NVIDIA’s latest survey of financial institutions’ use of AI found that more than 60% of respondents credited AI with helping reduce annual costs by 5% or more.

  1. Customer support

With artificial intelligence, financial institutions boost service quality while scaling support teams.

  • Chatbots answer common questions and reduce call center volume
  • AI listens to and analyzes call transcripts to coach agents and spot risk indicators
  • Personalized engagement improves retention and satisfaction

Bank of America’s AI-driven virtual assistant for employees, Erica for Employees, reduced calls into the IT service desk by more than 50%, the bank said. Similar support improvements can benefit clients.

  1. Risk and compliance

Both predictive AI and generative AI enable institutions to meet regulatory demands with precision and agility.

  • Alert narratives and ongoing due diligence tasks can be automated
  • AI helps detect fraud patterns across transactions
  • Compliance checks are embedded into loan review and audit workflows​

Texas National Bank uses Abrigo’s AI-driven check fraud detection to identify fraudulent checks before they are cashed. Within just two months, the bank identified and prevented over $377,000 in fraudulent check transactions.

Altogether, these banking AI use cases drive measurable business benefits: faster loan decisions, higher operational efficiency, improved accuracy, and reduced churn.

Check out helpful AI resources for bankers, including an AI-readiness checklist.

AI resources

How to prioritize projects when implementing AI

The range of available AI use cases in banking can feel overwhelming. But successful institutions typically begin with focused, high-impact projects that align with their data readiness and staffing capacity.

To start:

  • Partner with trusted providers who understand regulatory frameworks and can integrate AI into existing systems. Abrigo prioritizes data security and privacy by developing AI technology with stringent data protection measures, using encrypted data environments and robust access controls to secure client data. Make sure that any vendors you choose have similar controls in place. You may choose to consider vendors that specifically work with financial institutions so that you can be sure their solutions fully comply with banking regulations. Vendors should be continuously monitoring regulatory landscapes to ensure their solutions meet legal and regulatory requirements.
  • Experiment with pilot programs such as automating credit memos or onboarding flows to introduce AI one process at a time. Identify and prioritize low-risk, high-value pilot projects, and make sure that leaders from across the organization are united when assessing the feasibility, risks, and intended outputs before starting a project. Once an AI tool is adopted, conduct ROI analysis regularly to make sure the new process is working as intended.
  • Educate your team on what AI is and what it isn’t to build buy-in across departments​. While AI automates certain tasks, it primarily augments the capabilities of banking staff by allowing them to focus on more complex and strategic activities. Done well, this enhances job satisfaction and productivity. Make sure staff are well-trained and emphasize that a human-in-the-loop is always necessary to keep AI processes running smoothly.

From AI’s value potential to AI’s value creation

Long-term AI success requires thoughtful governance, clean data inputs, and strategic planning. With the right use cases and the right partners, banks and credit unions can unlock the true value of AI: accelerating growth, reducing risk, and improving every interaction.

See how an AI assistant shaves days off the loan-review process for more efficient credit risk review.

Loan review assistant
About the Author

Sriram Tirunellayi

Director of Applied AI
Sriram Tirunellayi (Sri) is Director of Applied AI at Abrigo, where he drives AI product strategy and innovation that helps financial institutions manage risk and drive growth. Before joining Abrigo in 2024, he worked with startups and Fortune 500 companies such as Equifax driving AI/ML and data and analytics product

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About Abrigo

Abrigo enables U.S. financial institutions to support their communities through technology that fights financial crime, grows loans and deposits, and optimizes risk. Abrigo's platform centralizes the institution's data, creates a digital user experience, ensures compliance, and delivers efficiency for scale and profitable growth.

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