AI use cases · computed from bank profiles; nothing on this page is written by a model. All ranked answers: /banks/leaders
On the public record as of Oct 28, 2026, 116 of the 141 large banks profiled describe at least one sourced AI use case for model risk management of AI models on their profile. Ranked by use cases (in production), the top 5 are Sallie Mae (3 use cases), Standard Chartered (3 use cases), Beacon Bank (2 use cases), M&T (2 use cases) and Raymond James (2 use cases). Sallie Mae's strongest evidence: AI as a credit-risk variable: Management tracks AI's effect on graduate employment and cosigner strength, discussed on the January and April 2026….
141 banks profiled (120 US, 21 non-US) · 116 with matching evidence · top 40 shown · ranked answer, not a comparison
Which of the large banks use AI for model risk management of AI models?
| # | Bank | Use cases (in production) | Strongest use case | Status | Date | On this site | Sources |
|---|---|---|---|---|---|---|---|
| 1 | Sallie Mae | 3 | AI as a credit-risk variable: Management tracks AI's effect on graduate employment and cosigner strength, discussed on the January and April 2026… | In production (3 of 3 in production) | Apr 23, 2026 | Sallie Mae profile → | The Motley Fool (Yahoo Finance) ↗ · Investing.com ↗ |
| 2 | Standard Chartered | 3 | AI Safety Council and tiered evaluation of AI systems: The 2025 annual report says the council evaluates AI solutions before use, systems are assessed in proportion to their… | In production (2 of 3 in production) | Feb 24, 2026 | Standard Chartered profile → | Standard Chartered PLC ↗ · Standard Chartered PLC ↗ |
| 3 | Beacon Bank | 2 | Vendor-built credit-loss models on one allowance process: After the February 2026 core conversion the allowance became a single integrated process | In production (2 of 2 in production) | Aug 7, 2026 | Beacon Bank profile → | Beacon Financial (SEC filings) ↗ · Beacon Financial (SEC filings) ↗ |
| 4 | M&T | 2 | AI Risk Oversight (second line): Independent oversight program for responsible AI adoption | In production (2 of 2 in production) | Jul 23, 2026 | M&T profile → | American Banker ↗ · M&T Bank (SEC filings) ↗ |
| 5 | Raymond James | 2 | Model governance gate before production: Per the firm, no AI innovation moves from Carillon Labs into production until model governance teams have tested and… | In production (2 of 2 in production) | Jun 8, 2026 | Raymond James profile → | Raymond James Financial (SEC filings) ↗ · Raymond James ↗ |
| 6 | WesBanco | 2 | Model risk management under the Chief Risk Officer: Nathan Jones, in post since 27 April 2026, is responsible for model risk management alongside risk management… | In production (2 of 2 in production) | Apr 24, 2026 | WesBanco profile → | WesBanco (SEC filings) ↗ · WesBanco ↗ |
| 7 | Banner Bank | 2 | Model Risk team under the Chief Risk Officer: The Model Risk function sits in Dan Oxford's remit with Enterprise Risk, Compliance, Fraud and Vendor Risk, reporting… | In production (2 of 2 in production) | Apr 6, 2026 | Banner Bank profile → | Banner Corporation (SEC filings) ↗ · Banner Bank ↗ |
| 8 | Renasant | 2 | Enterprise risk committee oversight of AI use: The board ERM committee and technology committee 'oversee risks related to our technological infrastructure, use of… | In production (2 of 2 in production) | Mar 18, 2026 | Renasant profile → | Renasant Corporation (SEC filings) ↗ · Renasant Corporation (SEC filings) ↗ |
| 9 | Huntington | 2 | AI risk factor, AI Risk Committee and board oversight: 10-K risk factor on flawed, biased or misleading model output and evolving AI law | In production (2 of 2 in production) | Mar 12, 2026 | Huntington · responsible ai → | Huntington Bancshares (SEC filing) ↗ · Huntington Bancshares (SEC filing) ↗ |
| 10 | First Hawaiian | 2 | AI risk-factor disclosure: Stand-alone 10-K risk factor covering evolving AI regulation, incorrect or biased generative-AI output, model opacity… | In production (2 of 2 in production) | Feb 27, 2026 | First Hawaiian profile → | First Hawaiian, Inc. (SEC filings) ↗ · Zest AI (vendor case study) ↗ |
| 11 | Truist | 2 | AI risk management on the NIST AI RMF: 10-K AI risk factor on flawed, biased or degraded models and third-party AI services | In production (2 of 2 in production) | Feb 24, 2026 | Truist · responsible ai → | Truist Financial (SEC filing) ↗ · American Banker ↗ |
| 12 | FNB | 2 | AI and generative-AI risk factor: The 10-K flags inaccurate or biased generative-AI output, dependence on data quality and model governance, third-party… | In production (2 of 2 in production) | Feb 24, 2026 | FNB · responsible ai → | F.N.B. Corporation ↗ · F.N.B. Corporation (SEC filings) ↗ |
| 13 | SouthState | 2 | Formal AI Strategy and AI risk-factor disclosure: The 10-K records a formal AI Strategy with controls to maintain accuracy and reduce or eliminate bias, and lists… | In production (2 of 2 in production) | Feb 20, 2026 | SouthState · responsible ai → | American Banker ↗ · SouthState Bank Corporation (SEC filings) ↗ |
| 14 | Barclays US | 2 | Group AI and machine-learning risk factor: Barclays PLC's 20-F risk factor on generative and agentic AI and ML covers third-party providers' AI use and evolving… | In production (2 of 2 in production) | Feb 10, 2026 | Barclays US profile → | SEC (Barclays PLC 20-F) ↗ |
| 15 | Barclays | 2 | AI Policy, AI Standard and Group AI Governance Council: Defines Ethical AI Principles and risk tiers for AI use | In production (2 of 2 in production) | Feb 10, 2026 | Barclays profile → | Barclays PLC (SEC 20-F) ↗ |
| 16 | Amex | 2 | AI risk-factor disclosure: 10-K covers agentic-commerce disintermediation, flawed or biased models, hallucinations and the EU AI Act and US state… | In production (2 of 2 in production) | Feb 6, 2026 | Amex profile → | American Express (SEC filings) ↗ · VentureBeat ↗ |
| 17 | Ally | 2 | AI risk-factor disclosure: The 10-K covers incorrect or biased output from generative AI and agents, explainability, third-party and… | In production (1 of 2 in production) | Jul 23, 2026 | Ally · responsible ai → | Ally Financial (SEC filings) ↗ · Ally Financial (SEC filings) ↗ |
| 18 | Banco Santander | 2 | Model-risk scope extended to AI systems: The annual report describes expansion of model-risk management to cover AI systems and promotion of compliance with… | In production (1 of 2 in production) | Feb 26, 2026 | Banco Santander profile → | Banco Santander ↗ · Banco Santander ↗ |
| 19 | BMO Financial Group | 2 | AI risk directive, Responsible AI Forum and model validation: Life-cycle standards for every AI initiative, pre-implementation review of significant ones by a cross-functional… | In production (1 of 2 in production) | Dec 4, 2025 | BMO Financial Group profile → | Bank of Montreal (SEC filing) ↗ · American Banker ↗ |
| 20 | Prosperity | 2 | AI risk language in quarterly filings: Each 10-Q from Q3 2025 to Q2 2026 lists risks from new technologies including AI and machine learning among… | Announced (0 of 2 in production) | Aug 6, 2026 | Prosperity profile → | Prosperity Bancshares (SEC filings) ↗ · Prosperity Bancshares (SEC filings) ↗ |
| 21 | CIBC | 1 | AI and ML in the model inventory; AI governance committees: Model-risk governance covers AI and ML models ahead of OSFI Guideline E-23 (May 2027) | In production | Aug 27, 2026 | CIBC profile → | CIBC ↗ · CIBC ↗ |
| 22 | Axos Bank | 1 | AI risk-factor disclosure: 10-K covers agentic and generative AI, third-party model dependence, bias, explainability and evolving regulation | In production | Aug 20, 2026 | Axos Bank profile → | SEC EDGAR ↗ |
| 23 | Central Bank | 1 | AI in 10-K risk factors and 10-Q risk monitoring: AI named as a source of implementation errors and fraud or cyber risk | In production | Aug 14, 2026 | Central Bank profile → | Central Bancompany (SEC filings) ↗ · Central Bancompany (SEC filings) ↗ |
| 24 | Commonwealth Bank | 1 | Group AI Policy, Standard and AI Risk Committee: A Group AI Policy and Standard, six responsible AI principles, GenAI guardrails, AI Risk Indicators in the Group Risk… | In production | Aug 12, 2026 | Commonwealth Bank · responsible ai → | Commonwealth Bank of Australia ↗ · Commonwealth Bank of Australia ↗ |
| 25 | Cathay Bank | 1 | Technology-change risk factor (no AI reference): The 10-K frames technology risk as implementation cost, disruption and better-resourced competitors, without… | In production | Aug 7, 2026 | Cathay Bank profile → | Cathay General Bancorp (SEC filings) ↗ · Cathay General Bancorp (SEC filings) ↗ |
| 26 | ServisFirst Bank | 1 | AI-enabled tools in financial-reporting controls: Used to support identification, validation and consistent classification of cash-flow activities after a material… | In production | Aug 7, 2026 | ServisFirst Bank profile → | ServisFirst Bancshares (SEC filings) ↗ |
| 27 | Goldman | 1 | AI risk factor and Firmwide AI Risk Committee: 10-K risk factor on generative-AI output, bias, opacity and third-party models | In production | Aug 3, 2026 | Goldman · responsible ai → | Goldman Sachs (SEC filing) ↗ · Goldman Sachs (SEC filing) ↗ |
| 28 | State Street | 1 | AI under the model risk management framework: 10-K: AI, generative AI and machine-learning models automate or enhance business processes, and AI and ML models used… | In production | Jul 30, 2026 | State Street profile → | State Street (SEC filing) ↗ · State Street (SEC filing) ↗ |
| 29 | MUFG | 1 | MUFG AI Policy and AI risk management: A nine-principle AI Policy and, per the 20-F, a controls framework for appropriate, reliable and secure AI use that… | In production | Jul 6, 2026 | MUFG · responsible ai → | Mitsubishi UFJ Financial Group, Inc. ↗ · Mitsubishi UFJ Financial Group, Inc. (SEC Form 20-F) ↗ |
| 30 | FNBO | 1 | Scoped access and staged adoption for vendor AI agents: Agents hold the same access privileges a human would in the Verafin system, run on jobs that are easy to explain, and… | In production | Jun 24, 2026 | FNBO profile → | American Banker ↗ |
| 31 | Pinnacle | 1 | AI and complex-model risk disclosure: 10-K and 10-Q risk factors on accuracy, bias, explainability and compliance of AI and complex models, and on… | In production | May 6, 2026 | Pinnacle profile → | Pinnacle Financial Partners (SEC filing) ↗ · Pinnacle Financial Partners (SEC filing) ↗ |
| 32 | Banc of California | 1 | AI risk factor and AI-disruption credit screen: 10-K risk factor on third-party AI | In production | Apr 23, 2026 | Banc of California profile → | SEC EDGAR ↗ · Yahoo Finance (Motley Fool transcript) ↗ |
| 33 | Lloyds | 1 | AI ethics principles, Data and AI Ethics Committee and AI Assurance Framework: Use cases are overseen by the Data and AI Ethics Committee and held in a central model and use-case inventory | In production | Apr 20, 2026 | Lloyds profile → | Lloyds Banking Group (SEC filing) ↗ · Lloyds Banking Group ↗ |
| 34 | Mechanics Bank | 1 | AI risk-factor disclosure: The 10-K says the company uses AI on a limited basis and that flawed algorithms, biased datasets or deficient… | In production | Apr 16, 2026 | Mechanics Bank profile → | Mechanics Bancorp (SEC filings) ↗ · Mechanics Bancorp (SEC filings) ↗ |
| 35 | Citizens Business Bank | 1 | AI Governance Council approval and monitoring of AI models: The Policy Framework and Council govern review and approval of AI solutions, regulate the development, deployment and… | In production | Apr 7, 2026 | Citizens Business Bank profile → | CVB Financial Corp. (SEC filings) ↗ · CVB Financial Corp. (SEC filings) ↗ |
| 36 | Atlantic Union | 1 | AI and machine-learning models in use: Disclosed in the 10-K with training-data, bias and interpretability risks | In production | Mar 25, 2026 | Atlantic Union profile → | Atlantic Union Bankshares ↗ |
| 37 | First Horizon | 1 | AI risk factor and board oversight: The 10-K flags flawed, insufficient or biased datasets and non-transparent AI models | In production | Mar 16, 2026 | First Horizon profile → | First Horizon (SEC filings) ↗ · First Horizon (SEC filings) ↗ |
| 38 | Société Générale | 1 | AI risk and training controls: The registration document describes AI acculturation and training for all employees, a gap analysis of AI-specific… | In production | Mar 13, 2026 | Société Générale profile → | Societe Generale ↗ |
| 39 | Deutsche Bank (U.S.) | 1 | Agentic-AI risk factor and AI control framework: The 20-F says AI risk is incorporated into the control framework and flags hallucination, bias, explainability, data… | In production | Mar 12, 2026 | Deutsche Bank (U.S.) · responsible ai → | Deutsche Bank AG (SEC filings) ↗ |
| 40 | Deutsche Bank | 1 | AI risk inside the control framework: The 20-F says AI risk has been incorporated into the control framework and names hallucination, bias, explainability… | In production | Mar 12, 2026 | Deutsche Bank profile → | Deutsche Bank AG (SEC filings) ↗ |
Each row quotes one record from bank profiles; the “On this site” link opens the bank's own page or sub-page with every source. Banks absent from the table have nothing matching on the record this site holds.
How is this ranked?
Data: the 141 bank profiles on this site (lib/banks), every entry dated and sourced: the "Where AI runs" use cases, each with a status (in production, rolling out, pilot, announced).
Rule: Use cases tagged model-risk. Score = matching use cases. Order: matching use cases, then those in production, then the strongest stage, then the newest source.
Counts: 116 of 141 profiled banks qualify; the table shows the top 40; 69 distinct sources cited in the table. Data checked 2026-10-28; ranking template updated 2026-10-30.
What are the caveats?
Banks absent from the table have nothing matching on the record this site holds, which is not evidence that they do nothing. Each row links the bank's own page, where every entry carries its sources.
Which bank ranks first?
SLM Corporation (Sallie Mae) leads with 3 use cases: AI as a credit-risk variable: Management tracks AI's effect on graduate employment and cosigner strength, discussed on the January and April 2026…. Standard Chartered is second with 3.
How many large banks describe AI use cases for ai model risk?
116 of the 141 profiled banks (120 US, 21 non-US groups); the table shows the top 40. Among those listed, 31 are US banks and 9 non-US groups.
What counts, and what does not?
Use cases tagged model-risk. Score = matching use cases. Order: matching use cases, then those in production, then the strongest stage, then the newest source. Source: the 141 bank profiles on this site (lib/banks), every entry dated and sourced: the "Where AI runs" use cases, each with a status (in production, rolling out, pilot, announced).
Is this a measure of capability?
No. Every row is a sourced fact on the public record: what the bank, a regulator, a filing or an independent outlet has put on the record. The page does not rate how well anything works.
When was this checked, and how often does it update?
The data behind the table was last checked on 2026-10-28 (bank profiles). The page recomputes whenever that dataset changes and is republished with the site; it is never edited by hand.
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