[{"data":1,"prerenderedAt":184},["ShallowReactive",2],{"uc-reg-us-ecoa-reg-b":3},{"regulation":4,"includeUnpublished":11,"indexable":12,"useCases":13},{"id":5,"label":6,"issuer":7,"region":8,"url":9,"description":10},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","north-america","https://www.consumerfinance.gov/rules-policy/regulations/1002/9/","US fair lending rules, including specific reasons in adverse action notices, which also apply when credit decisions use AI models.",false,true,[14,46,64,85,120,140,152,169],{"slug":15,"title":16,"shortTitle":17,"definition":18,"status":19,"industries":20,"functions":22,"patterns":26,"audience":31,"autonomy":32,"adoptionStage":33,"segment":34,"evidenceCount":35,"publicEvidenceCount":35,"organizations":36,"bestGrade":41,"headline":42,"lastVerified":43,"indexable":12,"euAiActTier":44,"euAiActBasis":45},"sme-cash-flow-underwriting","AI cash flow underwriting for small business loans","SME cash flow underwriting","An underwriting engine that assesses a small business's repayment capacity from live bank transactions, point of sale and payment flows, receivables and accounting data instead of audited accounts, and returns a decision recommendation with the evidence and reasons behind it.","published",[21],"banking",[23,24,25],"lending-and-credit","underwriting","risk-management",[27,28,29,30],"prediction-and-scoring","document-processing","agentic-workflow","conversational-agent","back-office","supervised-agent","early-adopters","lending",4,[37,38,39,40],"MYbank","National Australia Bank","OakNorth Bank","Sumitomo Mitsui Banking Corporation","B",null,"2026-09-26","context-dependent","Annex III point 5(b) makes AI systems that evaluate the creditworthiness of natural persons or establish their credit score high risk. Scoring a company is outside that point, but a sole trader is a natural person, and a model that also assesses the personal credit of owners, partners or guarantors evaluates natural persons. The tier therefore depends on who the borrower is and whose creditworthiness the model assesses.",{"slug":47,"title":48,"shortTitle":49,"definition":50,"status":19,"industries":51,"functions":53,"patterns":54,"audience":31,"autonomy":32,"adoptionStage":33,"segment":34,"evidenceCount":55,"publicEvidenceCount":55,"organizations":56,"bestGrade":41,"headline":42,"lastVerified":43,"indexable":12,"euAiActTier":62,"euAiActBasis":63},"alternative-data-credit-scoring","AI credit scoring with alternative data for thin file applicants","Alternative data credit scoring","A machine learning credit model that adds consumer permissioned alternative data, such as bank account cash flow, rent, utility and telco payments or ecosystem data, to credit bureau data, so a lender can assess applicants with thin or no credit files and return a decision with specific reasons.",[21,52],"payments",[23,24,25],[27,28,30],5,[57,58,59,60,61],"Atlanticus","Golden 1 Credit Union","GXS Bank","Patelco Credit Union","Upstart Network","high","Annex III point 5(b): AI systems intended to evaluate the creditworthiness of natural persons or establish their credit score are high risk, except systems used to detect financial fraud. Providers need risk management, data governance, logging and human oversight. Deployers must carry out a fundamental rights impact assessment before use (Article 27), and affected persons have a right to an explanation of individual decisions from the deployer (Article 86).",{"slug":65,"title":66,"shortTitle":67,"definition":68,"status":19,"industries":69,"functions":70,"patterns":73,"audience":76,"autonomy":77,"adoptionStage":78,"segment":34,"evidenceCount":79,"publicEvidenceCount":79,"organizations":80,"bestGrade":41,"headline":42,"lastVerified":83,"indexable":12,"euAiActTier":44,"euAiActBasis":84},"adverse-action-explanations","AI drafted explanations for credit declines and adverse actions","Adverse action explanations","An assistant that turns the reason codes of a credit model into an accurate, specific and readable explanation of a decline, reduced limit or repricing for the customer, and a matching internal rationale for the file, without adding any reason the model did not produce.",[21,52],[23,71,72],"regulatory-compliance","customer-service",[74,75,30],"content-generation","rag-knowledge-assistant","employee-facing","copilot","emerging",2,[81,82],"Discover Financial Services","Wells Fargo","2026-09-27","The drafting assistant does not assess creditworthiness, so on its own it is not the Annex III point 5(b) credit scoring system. It helps the lender meet the Article 86 right of affected people to a clear and meaningful explanation of decisions based on such a high risk system. If it is built into the scoring system it shares that system's high risk obligations; as a separate drafting tool its tier depends on its design and on how its output is reviewed. The follow up chat assistant must tell customers they are dealing with an AI system (Article 50).",{"slug":86,"title":87,"shortTitle":88,"definition":89,"status":19,"industries":90,"functions":96,"patterns":100,"audience":76,"autonomy":77,"adoptionStage":33,"segment":31,"evidenceCount":55,"publicEvidenceCount":55,"organizations":102,"bestGrade":41,"headline":107,"lastVerified":43,"indexable":12,"euAiActTier":118,"euAiActBasis":119},"outbound-notice-drafting","AI for drafting customer letters and outbound notices","Outbound notice drafting","AI that drafts the letters and notices operations must send at scale, such as arrears notices, decline letters, complaint responses, servicing confirmations and product change notices, from case data and approved templates and clauses, in the customer's language, for a person to approve where the notice is regulated.",[91,21,92,93,94,95],"cross-industry","insurance","government","healthcare","wealth-and-asset-management",[97,72,98,71,99],"operations","collections-and-recovery","claims",[74,75,101],"translation",[103,104,105,106],"Acentra Health","Hiscox","Health Resources and Services Administration","SS&C Technologies",{"kpi":108,"label":109,"unit":110,"n":111,"nUpTo":112,"kind":113,"value":114,"qualifier":115,"claimant":116,"organization":117,"vendorReported":12},"processing-time-reduction","Cycle time reduction","percent",1,0,"reported",25,"exact","vendor","SS&C GIDS and RS","limited","Drafting letters for human approval is not listed in Annex III. The decision the letter communicates may come from a separate high risk system, such as credit scoring (Annex III point 5(b)) or a public body's eligibility decision on benefits (point 5(a)); the drafting tool does not make that decision. Article 50(2) requires the provider of an AI system that generates text to mark the output as artificially generated, which puts this on the limited risk (transparency) tier; this includes an organization that builds its own drafting tool. Article 50(2) does not apply where the AI has only an assistive function for standard editing and does not substantially alter the input data or the semantics of the output.",{"slug":121,"title":122,"shortTitle":123,"definition":124,"status":19,"industries":125,"functions":127,"patterns":129,"audience":131,"autonomy":32,"adoptionStage":33,"segment":132,"evidenceCount":133,"publicEvidenceCount":133,"organizations":134,"bestGrade":138,"headline":42,"lastVerified":83,"indexable":12,"euAiActTier":44,"euAiActBasis":139},"home-loan-assistant-and-prequalification","AI home loan assistant with pre qualification","Home loan assistant","A customer facing assistant that answers home loan questions (rates, loan to value, fees, the documents needed), runs indicative affordability and borrowing estimates from the bank's published rules, and books the customer with a mortgage specialist, grounded in the bank's current, versioned product and policy documents.",[21,126],"real-estate",[23,128,72],"sales",[75,30,130],"voice-agent","customer-facing","front-office",3,[135,136,137],"Figure","Loft","Safe Rate","C","Answering questions and giving indicative estimates from published rules is limited risk with an Article 50(1) disclosure that the customer is talking to an AI system. If the assistant evaluates an individual's creditworthiness to decide or filter access to a loan, it falls under Annex III point 5(b) and is high risk.",{"slug":141,"title":142,"shortTitle":143,"definition":144,"status":19,"industries":145,"functions":146,"patterns":147,"audience":76,"autonomy":77,"adoptionStage":78,"segment":34,"evidenceCount":79,"publicEvidenceCount":111,"organizations":149,"bestGrade":41,"headline":42,"lastVerified":83,"indexable":12,"euAiActTier":44,"euAiActBasis":151},"loan-restructuring-recommendations","AI recommendations for loan restructuring and hardship arrangements","Restructuring recommendations","An assistant that assembles a stressed borrower's position, tests restructuring options such as a term extension, rate relief, payment holiday or due date change against policy and affordability, and recommends the best fit with a written rationale for a person to approve.",[21],[98,23,25],[29,75,28,148],"recommendation-and-personalization",[150],"Commonwealth Bank of Australia","Recommending restructuring terms for individuals involves assessing their ability to pay, which can amount to evaluating the creditworthiness of natural persons under Annex III point 5(b). Human approval alone does not remove that: the Article 6(3) exception covers only systems that do not materially influence the decision, such as a narrow procedural or preparatory task, and never applies when the system profiles natural persons. A tool that only assembles the case file can fall under the exception; restructuring for companies is outside point 5(b).",{"slug":153,"title":154,"shortTitle":155,"definition":156,"status":19,"industries":157,"functions":158,"patterns":160,"audience":76,"autonomy":32,"adoptionStage":162,"segment":34,"evidenceCount":133,"publicEvidenceCount":133,"organizations":163,"bestGrade":41,"headline":42,"lastVerified":167,"indexable":12,"euAiActTier":44,"euAiActBasis":168},"property-valuation-support","AI support for property valuation and appraisal","Property valuation support","AI, most often an automated valuation model, that estimates a property's market value from comparable sales, property characteristics and location data, and either offers to replace a full appraisal within set limits or gives a professional valuer a first pass estimate, the closest comparable sales and a reliability score, so the valuer's time goes to the properties that need a person's judgment.",[126,21,93],[23,159,97],"case-management",[27,161],"classification-and-routing","mainstream",[164,165,166],"Fannie Mae","Riverside County Assessor-County Clerk-Recorder","Valuation Office Agency","2026-09-28","An automated valuation model values the collateral, not the person, so it is not itself listed in Annex III; the EU Mortgage Credit Directive treats property valuation (Article 19) and the creditworthiness assessment of the borrower (Article 18) as separate steps, and Article 18(3) says the creditworthiness assessment must not be based predominantly on the value of the property exceeding the amount of credit, or on an assumption that the property's value will increase. The valuation becomes relevant to Annex III point 5(b), creditworthiness assessment of natural persons, only where its output is built into a separate system that evaluates the borrower's creditworthiness, and whether that happens depends on how the lender designs the credit decision, not on the valuation model itself.",{"slug":170,"title":171,"shortTitle":172,"definition":173,"status":19,"industries":174,"functions":175,"patterns":176,"audience":131,"autonomy":32,"adoptionStage":33,"segment":132,"evidenceCount":177,"publicEvidenceCount":55,"organizations":178,"bestGrade":138,"headline":42,"lastVerified":83,"indexable":12,"euAiActTier":44,"euAiActBasis":183},"conversational-loan-application-intake","Conversational AI for loan application intake","Loan application intake","A conversational assistant on web, app, messaging or voice that explains loan products, captures the application through dialogue in the customer's language, checks documents and basic eligibility rules, and hands a complete, structured application to origination, without making the credit decision.",[21],[23,128,72],[30,28,75,130],6,[179,135,180,181,182],"Absa Bank","Lloyds Banking Group","Oper Credits","Rocket Mortgage","Explaining products and capturing an application is limited risk with an Article 50 disclosure. If the assistant evaluates creditworthiness or filters applicants on its own assessment, it falls under Annex III point 5(b) and becomes high risk, so keep the decision in the governed credit process.",1790598319983]