[{"data":1,"prerenderedAt":630},["ShallowReactive",2],{"uc-immigration-and-visa-application-assistant":3,"uc-regulations":423},{"useCase":4,"evidence":206,"blitsAiDeployments":307,"benchmarks":308,"indicative":309,"related":312,"indexability":421,"includeUnpublished":212},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":16,"functions":18,"patterns":22,"channels":27,"audience":32,"autonomy":33,"adoptionStage":34,"problem":35,"problemStats":36,"howItWorks":37,"valueDrivers":38,"kpis":43,"indicativeValue":49,"macroEstimates":77,"feasibility":78,"implementation":92,"risk":135,"blitsAi":183,"faq":185,"related":195,"datePublished":201,"dateModified":201,"lastVerified":201,"changelog":202,"slug":205},"AI for immigration and visa applications, from applicant questions to case preparation","Immigration and visa application assistant","AI for visa and immigration applications","USCIS uses AI to extract form data and tag evidence; the Home Office routes visitor visa applications by rules and profiles. Officers decide every case.","published","AI that helps applicants understand immigration and visa requirements and submit complete applications, and helps immigration staff prepare cases by extracting form data, classifying evidence, routing applications and supporting interviews, while every grant or refusal is decided by an officer against the immigration rules.",[12,13,14,15],"visa chatbot","immigration virtual assistant","visa application processing AI","consular assistant",[17],"government",[19,20,21],"citizen-services","case-management","operations",[23,24,25,26],"conversational-agent","document-processing","classification-and-routing","translation",[28,29,30,31],"web-chat","voice","internal-tools","api","customer-facing","copilot","early-adopters","Immigration systems combine high volume, complex rules and applicants who often write in a second\nlanguage, from abroad, under time pressure. Applicants struggle to understand which route applies\nand which evidence to send; contact centres answer the same routine questions again and again;\nofficers sift through case files that can hold hundreds of pages of scanned evidence; and\nscanned forms must be validated against form specific business rules.\n\nIt is also one of the most sensitive places to use algorithms. Decisions shape people's lives,\nand the UK withdrew a visa streaming algorithm in 2020 after a legal challenge alleging\nnationality based discrimination. AI here has to make applicants better informed and officers\nfaster without shifting the decision to a model.",[],"1. **Inform the applicant.** An assistant answers questions about routes, fees, documents and\n   processes from official guidance, in the applicant's language, and points case specific\n   questions to online status or the contact centre.\n2. **Capture the application digitally.** Scanned or uploaded forms are read by document AI,\n   fields are extracted and checked against form rules, and gaps are flagged before the case\n   reaches an officer.\n3. **Organise the evidence.** Each page of supporting evidence is classified (passport, marriage\n   certificate, bank statement) so officers can jump to what they need.\n4. **Route by complexity.** Rules on declared answers send straightforward cases to one queue and\n   complex ones to more senior officers; officers can reroute. Any risk profiles or watch lists\n   added to the rules need their own equality review.\n5. **Support the interview.** Real time transcription and translation help officers and applicants\n   understand each other, with a transcript kept when enabled.\n6. **Decide.** An officer assesses the case against the rules and records the decision and reasons.",[39,40,41,42],"speed","employee-productivity","inclusion-and-access","customer-experience",[44,45,46,47,48],"interactions-handled","processing-time-reduction","accuracy","time-saved-per-task","containment-rate",{"referenceOrg":50,"inputs":51,"formula":72,"currency":73,"period":74,"resultLabel":75,"caveat":76},"An immigration authority that processes 1 million visa applications a year",[52,58,65],{"key":53,"label":54,"low":55,"high":55,"unit":56,"note":57},"applications","Applications processed per year",1000000,"applications per year","The reference authority.",{"key":59,"label":60,"low":61,"high":62,"unit":63,"note":64},"minutesSaved","Officer minutes saved per application on form entry and evidence navigation",3,8,"minutes per application","Editorial assumption. No public benchmark states time saved per case yet; replace with your own time study.",{"key":66,"label":67,"low":68,"high":69,"unit":70,"note":71},"hourlyCost","Fully loaded officer cost per hour",40,60,"USD per hour","Editorial assumption. Replace with your own cost.","applications * minutesSaved / 60 * hourlyCost","USD","per year","Officer time released, valued at cost","Values officer time on data entry and evidence navigation only. It leaves out contact centre savings from applicant assistants, faster decisions for applicants and the cost of the systems, and assumes released time goes to backlog rather than headcount reduction.",[],{"complexity":79,"complexityNote":80,"dataPrerequisites":81,"integrations":86},"high","Applicant facing information is moderate; anything inside the case touches high risk decisions, legacy case systems and strict evidence rules. Governance (impact assessments, equality duties, audit trails) is as much work as the technology.",[82,83,84,85],"Official guidance per route, with owners and effective dates","Form definitions and business rules for each application type","Labelled examples of evidence document types for classification","Historic routing and outcome data for testing, handled under strict access controls",[87,88,89,90,91],"Online application portal and document upload","Case management system for immigration decisions","Identity and biometrics systems (read only for the AI components)","Contact centre and appointment systems","Interpretation and translation services",{"steps":93,"guardrails":109,"humanInTheLoop":115,"kpisToInstrument":116,"failureModes":122},[94,97,100,103,106],{"title":95,"detail":96},"Map every AI output to the decision it touches","For each component (applicant assistant, form extraction, evidence tagging, routing, interpretation) state whether it informs the applicant, prepares the case or affects the decision, and govern it accordingly.",{"title":98,"detail":99},"Start with applicant information and form capture","Answering general questions and turning paper forms into data (as USCIS did with PDF Intake for myUSCIS) reduce work without touching the decision.",{"title":101,"detail":102},"Keep routing rules simple and published","If you route by complexity, use transparent rules on declared answers, let officers reroute, and publish a record of how routing works. The Home Office published a transparency record for its visitor visa routing and lets officers reroute cases, but its rules also use risk profiles and bulk data tables that the record does not set out, and allow direct nationality based discrimination under a Ministerial Authorisation; decide deliberately whether you want either.",{"title":104,"detail":105},"Treat interpretation as assistive","Use AI interpretation to support, not replace, certified interpreters where the law requires them, and keep transcripts for review. The State Department describes its citizen services pilot as assistive only, and its consular pilots can produce a time stamped transcript.",{"title":107,"detail":108},"Test for bias across nationalities and languages","Measure error and routing rates by nationality, language and other protected characteristics before launch and at intervals.",[110,111,112,113,114],"No AI output grants, refuses or recommends a decision; officers decide against the rules","Routing and prioritisation rules documented, explainable and reroutable by officers","Equality impact assessment and monitoring by nationality and language","Applicant assistants answer only from official guidance and never predict the outcome of a case","Translations and extracted data shown next to the original for officer checking","Officers decide every application and can override any routing or extraction. Supervisors review samples of AI prepared cases and interpretation transcripts; policy owners approve changes to guidance and routing rules; complaints and appeals are handled by people.",[117,118,119,120,121],"Time from submission to decision per route","Extraction accuracy per form field and evidence classification accuracy on a checked sample","Share of cases rerouted by officers after automated routing","Routing and error rates by nationality and language","Contact volume on status and document questions",[123,126,129,132],{"title":124,"detail":125},"Discriminatory routing","Nationality or proxies for it drive a case into a slower or stricter lane. The UK visa streaming tool was withdrawn in 2020 after a legal challenge. Exclude protected characteristics and their proxies from routing rules and risk profiles, and monitor outcomes.",{"title":127,"detail":128},"Translation errors in the record","Machine translation errors in asylum applications or visa interviews can change the meaning of an applicant's account. Keep transcripts, allow correction and use certified interpreters where required.",{"title":130,"detail":131},"Silent extraction errors","A misread date or name propagates through the case. Show extracted data next to the source and flag low confidence fields.",{"title":133,"detail":134},"Applicants read predictions into answers","An assistant that sounds certain about eligibility creates false expectations. Answer only from guidance and state that officers decide.",{"euAiAct":136,"regulations":139,"guidance":146,"controls":168,"incidents":174},{"tier":137,"basis":138},"context-dependent","Annex III point 7(c) makes AI high risk when it assists public authorities in examining applications for asylum, visas or residence permits, including assessing the reliability of evidence. Applicant facing information assistants that give general guidance fall under the Article 50 transparency duties (limited risk). Evidence classification, routing and interview support used in the examination are likely high risk, unless the provider documents under Article 6(3) that a component only performs a narrow procedural or preparatory task. That exception never applies to a system that profiles natural persons, which matters for routing on personal attributes or risk profiles.",[140,141,142,143,144,145],"eu-ai-act","gdpr","nist-ai-rmf","iso-42001","uk-gdpr","uk-atrs",[147,153,157,163],{"title":148,"issuer":149,"region":150,"url":151,"note":152},"Annex III, high risk AI systems referred to in Article 6(2)","European Union","europe","https://artificialintelligenceact.eu/annex/3/","Point 7 lists migration, asylum and border control management uses, including the examination of visa and residence permit applications.",{"title":154,"issuer":149,"region":150,"url":155,"note":156},"Article 27, fundamental rights impact assessment for high risk AI systems","https://artificialintelligenceact.eu/article/27/","Public bodies must assess fundamental rights impacts before deploying high risk AI.",{"title":158,"issuer":159,"region":160,"url":161,"note":162},"Directive on Automated Decision-Making","Treasury Board of Canada Secretariat","north-america","https://www.tbs-sct.canada.ca/pol/doc-eng.aspx?id=32592","Sets algorithmic impact assessment, notice, testing and human involvement requirements for automated decision systems used by Canadian federal institutions.",{"title":164,"issuer":165,"region":160,"url":166,"note":167},"M-25-21: Accelerating Federal Use of AI through Innovation, Governance, and Public Trust","US Office of Management and Budget","https://www.whitehouse.gov/wp-content/uploads/2025/02/M-25-21-Accelerating-Federal-Use-of-AI-through-Innovation-Governance-and-Public-Trust.pdf","Minimum risk management practices for high impact AI in US federal agencies; the federal AI use case inventory flags the State Department's visa interview pilot as high impact.",[169,170,171,172,173],"Public register entry for each AI component, with its role in the decision","Fundamental rights and equality impact assessments before launch","Audit trail linking every AI output to the officer's decision","Right to an interpreter and to correct the record","Periodic independent review of routing and extraction outcomes",[175,179],{"title":176,"url":177,"note":178},"Home Office says it will abandon its racist visa algorithm, after we sued them","https://www.foxglove.org.uk/2020/08/04/home-office-says-it-will-abandon-its-racist-visa-algorithm-after-we-sued-them/","The UK Home Office withdrew its visa application streaming tool in 2020 after a legal challenge alleging nationality based discrimination.",{"title":180,"url":181,"note":182},"Lost in AI translation: growing reliance on language apps jeopardizes some asylum applications","https://www.theguardian.com/us-news/2023/sep/07/asylum-seekers-ai-translation-apps","The Guardian reported cases where machine translation errors affected US asylum applications.",{"howToBuild":184},"On Blits.ai the applicant side is an **AI agent** grounded in a **knowledge base** of official\nimmigration guidance, crawled from the authority's website and retrieved with **hybrid search**,\nwith **language detection and translation** so applicants can ask in their own language.\n**Guardrails** stop it from predicting case outcomes, **PII masking** removes passport and case\nnumbers before text reaches a model, and **human handover** routes case questions to the contact centre.\n\nOn the case side, an **agentic workflow** triggered through the API takes the text of uploaded\nforms and evidence (from the authority's own OCR service, called through **custom functions**),\nextracts form fields, classifies evidence pages and writes the result to the case system, with\n**human in the loop confirmation** so an officer approves agentic actions before they are carried out. Every run has a full audit trail.\nRouting rules stay deterministic in a **flow**. **Test suites** check extraction and answers by\nlanguage, the platform is **model agnostic**, and **EU and UAE data residency** keeps data in region.",[186,189,192],{"question":187,"answer":188},"Is AI deciding visa applications?","Not in the examples on this page. The Home Office routing tool uses rules, risk profiles and bulk data tables to set a complexity label and does not decide applications; USCIS uses AI to extract form data and tag evidence; the State Department's interview tool translates. Officers decide, and the EU AI Act lists AI that assists the examination of visa applications as high risk in Annex III.",{"question":190,"answer":191},"What volumes are involved?","Large. The Home Office has routed visitor visa applications under Appendix V with its tool since April 2023, and it received around 2.5 million visit applications in 2023. At that scale even small error rates affect many people.",{"question":193,"answer":194},"Can AI interpretation replace interpreters at visa interviews?","Not in the public examples. The State Department is piloting live AI interpretation at the visa interview window and flags it as high impact in the federal inventory, and its citizen services pilot is explicitly assistive, not a replacement for certified interpreters where they are required.",[196,197,198,199,200],"public-service-translation","citizen-information-assistant","benefits-eligibility-and-application-assistant","permit-and-licence-application-processing","intelligent-document-processing","2026-09-27",[203],{"date":201,"note":204},"First published","immigration-and-visa-application-assistant",[207,245,262,278],{"title":208,"useCases":209,"organization":210,"vendors":214,"summary":228,"stage":229,"year":230,"channels":231,"languages":232,"metrics":234,"outcomeDisclosed":212,"sources":235,"verification":240,"grade":242,"id":243,"organizationSlug":244},"USCIS: generative AI form intake for myUSCIS and evidence classification in ELIS",[205],{"name":211,"anonymized":212,"country":213,"region":160,"industry":17},"U.S. Citizenship and Immigration Services",false,"US",[215,218,221,224,226],{"name":216,"role":217},"Anthropic (Claude 3.7 Sonnet on Amazon Bedrock)","model-provider",{"name":219,"role":220},"Amazon Web Services (Amazon Bedrock, Amazon Textract)","platform",{"name":222,"role":223},"Analytica","integrator",{"name":225,"role":223},"DV United",{"name":227,"role":223},"SAIC","Two deployed USCIS systems prepare immigration applications for officers. PDF Intake lets people submit scanned forms online through myUSCIS instead of by mail: a generative model on Amazon Bedrock extracts the filled fields and checks them against form specific business rules, returning structured JSON to the case system. The ELIS Evidence Classifier tags scanned evidence pages (such as a marriage certificate or a border crossing card) so that adjudicators can jump to the document they need instead of scrolling through hundreds of pages. Their outputs are structured form data and evidence tags for the case system.","production",2025,[31,30],[233],"en",[],[236],{"url":237,"title":238,"publisher":239},"https://raw.githubusercontent.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory/main/Data/2025_individually_reported_AI_use_cases.csv","2025 individually reported AI use cases (consolidated federal inventory data)","Office of Management and Budget (GitHub)",{"level":241,"checkedAt":201},"source-verified","B","uscis-myuscis-pdf-intake-and-evidence-classification",null,{"title":246,"useCases":247,"organization":248,"vendors":250,"summary":253,"stage":254,"year":230,"channels":255,"languages":256,"metrics":257,"outcomeDisclosed":212,"sources":258,"verification":260,"grade":242,"id":261,"organizationSlug":244},"US Department of State: live AI interpretation at consular windows (LCALA)",[205,196],{"name":249,"anonymized":212,"country":213,"region":160,"industry":17},"U.S. Department of State (Bureau of Consular Affairs)",[251],{"name":252,"role":220},"Microsoft","Consular Affairs is piloting Live Consular AI Language Augmentation (LCALA): real time transcription and neural machine translation of the spoken exchange at the visa interview window, with translated audio and on screen text and an optional short time stamped transcript. The visa interview pilot is flagged high impact in the federal inventory; its entry notes that interviews last about three minutes and that misunderstandings can force repeat questions, delays or uneven outcomes. A second pilot, for Overseas Citizens Services and American Citizens Services, supports calls and in person interactions and is described as assistive only, not a replacement for certified interpreters where they are required.","pilot",[29,30],[],[],[259],{"url":237,"title":238,"publisher":239},{"level":241,"checkedAt":201},"us-department-of-state-consular-ai-interpretation",{"title":263,"useCases":264,"organization":265,"vendors":267,"summary":268,"stage":269,"year":230,"channels":270,"languages":271,"metrics":272,"outcomeDisclosed":212,"sources":273,"verification":275,"grade":242,"id":276,"organizationSlug":277},"ICE SEVP Response Center: SID voice assistant for student visa programme calls",[205],{"name":266,"anonymized":212,"country":213,"region":160,"industry":17},"U.S. Immigration and Customs Enforcement (Student and Exchange Visitor Program)",[],"The Student and Exchange Visitor Program response center, which serves international students and school officials, is preparing SID (SEVIS Interactive Dialog), a voice assistant that answers routine caller questions through a deterministic question and answer workflow. When it cannot answer, it turns the caller over to an agent in the response center and creates a ticket with a caller transcript to reduce the burden on the agent. Separately, it captures the interaction and sends it through an API to the program's automated management system (SEVPAMS).","announced",[29],[],[],[274],{"url":237,"title":238,"publisher":239},{"level":241,"checkedAt":201},"us-immigration-and-customs-enforcement-sevp-voice-assistant","u-s-immigration-and-customs-enforcement",{"title":279,"useCases":280,"organization":281,"vendors":284,"summary":285,"stage":286,"year":287,"channels":288,"languages":289,"metrics":290,"outcomeDisclosed":212,"sources":291,"verification":305,"grade":242,"id":306,"organizationSlug":244},"Home Office: complexity routing of visitor visa applications (CARS Visits)",[205],{"name":282,"anonymized":212,"country":283,"region":150,"industry":17},"Home Office (Visa, Status and Information Services)","GB",[],"Since 25 April 2023 the Complexity Application Routing Solution for visits (CARS(V)) labels visitor visa applications under Appendix V as likely non complex or complex, so each goes to the right grade of decision maker, using business rules on the applicant's declared answers (such as a yes to any criminality question) plus matches against risk profiles and bulk data tables of information previously seen in applications that gave false information. It uses no machine learning, does not decide applications, and decision makers can reroute a case; its equality impact assessments allow direct discrimination on race or nationality where a Ministerial Authorisation supports it, new profiles are applied weekly, and the profiles and bulk tables are not set out in the record. The record gives around 2.5 million visit applications received in 2023 for scale, not a count routed by the tool; separately, the Home Office withdrew an earlier visa streaming algorithm in 2020 after a legal challenge.","scaled",2023,[30],[233],[],[292,297,302],{"url":293,"title":294,"publisher":295,"date":296},"https://www.gov.uk/algorithmic-transparency-records/home-office-complexity-application-routing-solution-visits","Home Office: Complexity Application Routing Solution, Visits","GOV.UK (Algorithmic Transparency Recording Standard)","2024-12-17",{"url":298,"title":299,"publisher":300,"date":301},"https://www.gov.uk/government/publications/complexity-application-routing-solution-visits-caseworker-guidance/complexity-application-routing-solution-visits-carsv-accessible","Complexity application routing solution (visits) (CARS(V)): caseworker guidance","UK Visas and Immigration (GOV.UK)","2023-05-17",{"url":177,"title":176,"publisher":303,"date":304},"Foxglove","2020-08-04",{"level":241,"checkedAt":201},"home-office-visit-visa-complexity-routing",0,[],{"low":310,"high":311},2000000,8000000.000000001,[313,332,362,381,400],{"slug":196,"title":314,"shortTitle":315,"definition":316,"status":9,"industries":317,"functions":318,"patterns":320,"audience":32,"autonomy":33,"adoptionStage":34,"evidenceCount":62,"publicEvidenceCount":62,"organizations":322,"bestGrade":242,"headline":244,"lastVerified":330,"indexable":331},"AI translation and interpretation for multilingual public services","Public service translation","AI that translates government content, documents and conversations between officials and the public, in writing and in real time speech, so people can use public services in their own language, with human translators and interpreters reviewing what carries legal or safety weight.",[17],[19,319,21],"customer-service",[26,23,321,24],"speech-analytics",[323,324,325,326,327,328,329,249],"Baltimore City 911 (Emergency Communications)","Delaware County","European Commission","Federal Emergency Management Agency","Internal Revenue Service","Madrid Destino","Montgomery County Government","2026-09-26",true,{"slug":197,"title":333,"shortTitle":334,"definition":335,"status":9,"industries":336,"functions":337,"patterns":339,"audience":32,"autonomy":342,"adoptionStage":343,"evidenceCount":344,"publicEvidenceCount":345,"organizations":346,"bestGrade":242,"headline":354,"lastVerified":201,"indexable":331},"AI assistant for citizen information and government services","Citizen information assistant","An AI assistant that answers residents' and businesses' questions about government services in plain language, grounded only in official guidance with links to the source, points them to the right online service or office, and hands anything personal, urgent or outside its content to a human with the context attached.",[17],[19,319,338],"knowledge-management",[340,23,341,25],"rag-knowledge-assistant","voice-agent","supervised-agent","mainstream",11,9,[347,348,349,350,351,352,353,328,329],"Abu Dhabi Government (TAMM)","Driver and Vehicle Licensing Agency","Estonian Information System Authority (RIA)","Foreign, Commonwealth and Development Office","Gemeente Tilburg","Government Digital Service","Government of the City of Buenos Aires",{"kpi":46,"label":355,"unit":356,"n":357,"nUpTo":307,"kind":358,"value":359,"qualifier":360,"claimant":361,"organization":350,"vendorReported":212},"Accuracy","percent",1,"reported",76,"at-least","organization",{"slug":198,"title":363,"shortTitle":364,"definition":365,"status":9,"industries":366,"functions":367,"patterns":368,"audience":32,"autonomy":33,"adoptionStage":34,"evidenceCount":369,"publicEvidenceCount":369,"organizations":370,"bestGrade":242,"headline":377,"lastVerified":330,"indexable":331},"AI assistant for benefits eligibility questions and applications","Benefits eligibility and application assistant","An AI assistant that helps people understand which public benefits and grants may apply to them, explains the rules and documents in plain language, guides them through the application and checks it for completeness, while the eligibility decision stays with the agency's rules and caseworkers.",[17],[19,20,319],[23,340,341,24],7,[371,372,326,373,374,375,376],"Department for Work and Pensions","Federal Student Aid (U.S. Department of Education)","Gemeente Nissewaard","Leeds City Council","Région Provence-Alpes-Côte d'Azur (Région Sud)","YoungWilliams",{"kpi":46,"label":355,"unit":356,"n":378,"nUpTo":307,"kind":358,"value":379,"qualifier":380,"claimant":361,"organization":371,"vendorReported":212},2,97,"exact",{"slug":199,"title":382,"shortTitle":383,"definition":384,"status":9,"industries":385,"functions":386,"patterns":388,"audience":390,"autonomy":33,"adoptionStage":391,"evidenceCount":392,"publicEvidenceCount":392,"organizations":393,"bestGrade":242,"headline":398,"lastVerified":330,"indexable":331},"AI for permit and licence application processing","Permit and licence application processing","AI that helps applicants submit complete permit and licence applications and helps officers process them, by answering questions about requirements, checking applications for missing or inconsistent information, pulling the relevant policies, history and constraints, and drafting reports, while the grant or refusal stays with a named officer or a published rule.",[17],[19,20,387],"regulatory-compliance",[24,389,340,23],"agentic-workflow","employee-facing","emerging",5,[394,374,395,396,397],"Intellectual Property Office","U.S. Fish and Wildlife Service","U.S. Department of Agriculture","West Berkshire Council",{"kpi":46,"label":355,"unit":356,"n":357,"nUpTo":307,"kind":358,"value":399,"qualifier":360,"claimant":361,"organization":374,"vendorReported":212},85,{"slug":200,"title":401,"shortTitle":402,"definition":403,"status":9,"industries":404,"functions":408,"patterns":410,"audience":412,"autonomy":342,"adoptionStage":343,"evidenceCount":369,"publicEvidenceCount":392,"organizations":413,"bestGrade":242,"headline":418,"lastVerified":201,"indexable":331},"AI document intelligence for unstructured forms and documents","Intelligent document processing","AI that takes documents in any format, such as scanned forms, PDFs, photos, emails and handwritten notes, splits and classifies them, extracts the required fields with a confidence score, validates them against business rules and source systems, and sends only the uncertain cases to a person before the data enters the downstream process.",[405,17,406,407],"cross-industry","automotive","manufacturing",[21,20,409],"finance-and-accounting",[24,411,25],"computer-vision","back-office",[414,415,416,211,417],"Ancine","Pupuk Indonesia","U.S. Immigration and Customs Enforcement","Volvo Group",{"kpi":46,"label":355,"unit":356,"n":357,"nUpTo":307,"kind":358,"value":419,"qualifier":360,"claimant":420,"organization":414,"vendorReported":331},90,"vendor",{"indexable":331,"reasons":422},[],[424,429,434,441,447,453,459,466,474,481,488,494,500,507,513,518,525,531,537,543,548,554,560,565,570,576,582,587,593,600,607,613,619,624],{"id":140,"label":425,"issuer":149,"region":150,"url":426,"description":427,"useCases":428,"indexable":331},"EU AI Act","https://eur-lex.europa.eu/eli/reg/2024/1689/oj","Regulation (EU) 2024/1689: risk based rules for AI systems, with obligations for high risk systems listed in Annex III and transparency duties under Article 50.",197,{"id":141,"label":430,"issuer":149,"region":150,"url":431,"description":432,"useCases":433,"indexable":331},"GDPR","https://eur-lex.europa.eu/eli/reg/2016/679/oj","General Data Protection Regulation, including Article 22 on decisions based solely on automated processing.",180,{"id":143,"label":435,"issuer":436,"region":437,"url":438,"description":439,"useCases":440,"indexable":331},"ISO/IEC 42001","ISO and IEC","global","https://www.iso.org/standard/81230.html","The international management system standard for AI.",110,{"id":142,"label":442,"issuer":443,"region":160,"url":444,"description":445,"useCases":446,"indexable":331},"NIST AI Risk Management Framework","NIST","https://www.nist.gov/itl/ai-risk-management-framework","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",83,{"id":448,"label":449,"issuer":149,"region":150,"url":450,"description":451,"useCases":452,"indexable":331},"dora","DORA","https://eur-lex.europa.eu/eli/reg/2022/2554/oj","Digital Operational Resilience Act for financial entities: ICT risk, incident reporting and third party risk, including AI providers.",66,{"id":144,"label":454,"issuer":455,"region":150,"url":456,"description":457,"useCases":458,"indexable":331},"UK GDPR","Information Commissioner's Office","https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/","The UK's version of the GDPR, including rules on solely automated decisions.",64,{"id":460,"label":461,"issuer":462,"region":150,"url":463,"description":464,"useCases":465,"indexable":331},"uk-consumer-duty","FCA Consumer Duty","Financial Conduct Authority","https://www.fca.org.uk/firms/consumer-duty","UK rules that require firms to deliver good outcomes for retail customers, including through automated channels.",47,{"id":467,"label":468,"issuer":469,"region":470,"url":471,"description":472,"useCases":473,"indexable":331},"mas-ai-risk-management","MAS AI risk management guidelines","Monetary Authority of Singapore","asia-pacific","https://www.mas.gov.sg/news/media-releases/2025/mas-guidelines-for-artificial-intelligence-risk-management","Singapore's supervisory expectations for AI risk management at financial institutions, building on the FEAT principles.",36,{"id":475,"label":476,"issuer":477,"region":470,"url":478,"description":479,"useCases":480,"indexable":331},"apra-cps-230","APRA CPS 230","Australian Prudential Regulation Authority","https://www.apra.gov.au/operational-risk-management","Australian operational risk standard covering critical operations and material service providers.",25,{"id":482,"label":483,"issuer":484,"region":437,"url":485,"description":486,"useCases":487,"indexable":331},"pci-dss","PCI DSS","PCI Security Standards Council","https://www.pcisecuritystandards.org/","Security standard for any system that stores, processes or transmits cardholder data.",20,{"id":489,"label":490,"issuer":491,"region":160,"url":492,"description":493,"useCases":487,"indexable":331},"us-sr-11-7","SR 11-7 model risk management","Federal Reserve and OCC","https://www.federalreserve.gov/boarddocs/srletters/2011/sr1107.htm","US supervisory guidance on model risk management, applied by banks to AI and machine learning models.",{"id":145,"label":495,"issuer":496,"region":150,"url":497,"description":498,"useCases":499,"indexable":331},"UK Algorithmic Transparency Recording Standard","UK Government","https://www.gov.uk/government/collections/algorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",16,{"id":501,"label":502,"issuer":503,"region":437,"url":504,"description":505,"useCases":506,"indexable":331},"fatf-recommendations","FATF Recommendations","Financial Action Task Force","https://www.fatf-gafi.org/en/publications/Fatfrecommendations/Fatf-recommendations.html","Global standards for anti money laundering and counter terrorist financing that national rules implement.",15,{"id":508,"label":509,"issuer":149,"region":150,"url":510,"description":511,"useCases":512,"indexable":331},"eu-amlr","EU Anti Money Laundering Regulation","https://eur-lex.europa.eu/eli/reg/2024/1624/oj","Regulation (EU) 2024/1624: the single EU rulebook for customer due diligence, beneficial ownership and suspicious transaction reporting.",14,{"id":514,"label":515,"issuer":149,"region":150,"url":516,"description":517,"useCases":512,"indexable":331},"nis2","NIS2 Directive","https://eur-lex.europa.eu/eli/dir/2022/2555/oj","Directive (EU) 2022/2555 on cybersecurity for essential and important entities, including telecom networks, energy and public administration.",{"id":519,"label":520,"issuer":521,"region":160,"url":522,"description":523,"useCases":524,"indexable":331},"us-bsa","Bank Secrecy Act","FinCEN","https://www.fincen.gov/resources/statutes-and-regulations/bank-secrecy-act","US anti money laundering law: customer due diligence, suspicious activity reports and record keeping.",13,{"id":526,"label":527,"issuer":149,"region":150,"url":528,"description":529,"useCases":530,"indexable":331},"eu-accessibility-act","European Accessibility Act","https://eur-lex.europa.eu/eli/dir/2019/882/oj","Directive (EU) 2019/882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",12,{"id":532,"label":533,"issuer":534,"region":160,"url":535,"description":536,"useCases":530,"indexable":331},"hipaa","HIPAA","US Department of Health and Human Services","https://www.hhs.gov/hipaa/index.html","US rules for the privacy and security of protected health information.",{"id":538,"label":539,"issuer":540,"region":437,"url":541,"description":542,"useCases":530,"indexable":331},"telecom-consumer-rules","Telecom consumer protection rules","National telecom regulators","https://www.berec.europa.eu/","National rules on telecom contracts, switching, billing disputes and marketing consent.",{"id":544,"label":545,"issuer":149,"region":150,"url":546,"description":547,"useCases":344,"indexable":331},"eecc","European Electronic Communications Code","https://eur-lex.europa.eu/eli/dir/2018/1972/oj","Directive (EU) 2018/1972: consumer protection, contract, switching and security rules for telecom operators.",{"id":549,"label":550,"issuer":551,"region":160,"url":552,"description":553,"useCases":344,"indexable":331},"us-tcpa","Telephone Consumer Protection Act","Federal Communications Commission","https://www.fcc.gov/consumers/guides/stop-unwanted-robocalls-and-texts","US consent rules for automated and prerecorded calls and texts; the FCC has confirmed AI generated voices count as artificial voices.",{"id":555,"label":556,"issuer":469,"region":470,"url":557,"description":558,"useCases":559,"indexable":331},"mas-notice-626","MAS Notice 626","https://www.mas.gov.sg/regulation/notices/notice-626","Singapore's anti money laundering and counter terrorism financing requirements for banks.",10,{"id":561,"label":562,"issuer":149,"region":150,"url":563,"description":564,"useCases":559,"indexable":331},"mifid-ii","MiFID II","https://eur-lex.europa.eu/eli/dir/2014/65/oj","Directive 2014/65/EU on markets in financial instruments: suitability and appropriateness of advice, record keeping and product governance.",{"id":566,"label":567,"issuer":149,"region":150,"url":568,"description":569,"useCases":559,"indexable":331},"eu-psd2","PSD2","https://eur-lex.europa.eu/eli/dir/2015/2366/oj","Payment Services Directive 2: strong customer authentication, transaction risk analysis exemptions and open banking access.",{"id":571,"label":572,"issuer":573,"region":150,"url":574,"description":575,"useCases":345,"indexable":331},"eba-loan-origination","EBA Guidelines on loan origination and monitoring","European Banking Authority","https://www.eba.europa.eu/regulation-and-policy/credit-risk/guidelines-on-loan-origination-and-monitoring","Expectations for credit decisioning, including the use of automated models.",{"id":577,"label":578,"issuer":579,"region":160,"url":580,"description":581,"useCases":62,"indexable":331},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","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.",{"id":583,"label":584,"issuer":149,"region":150,"url":585,"description":586,"useCases":62,"indexable":331},"solvency-ii","Solvency II","https://eur-lex.europa.eu/eli/dir/2009/138/oj","Directive 2009/138/EC: risk based capital, governance and model requirements for insurers.",{"id":588,"label":589,"issuer":149,"region":150,"url":590,"description":591,"useCases":592,"indexable":331},"eu-idd","Insurance Distribution Directive","https://eur-lex.europa.eu/eli/dir/2016/97/oj","Directive (EU) 2016/97: conduct rules for selling insurance, including demands and needs testing and advice.",6,{"id":594,"label":595,"issuer":596,"region":597,"url":598,"description":599,"useCases":392,"indexable":331},"cbuae-ai-guidance","CBUAE guidance on AI and ML","Central Bank of the UAE","middle-east","https://www.centralbank.ae/","UAE central bank expectations for the enabling technologies, AI and machine learning used by licensed financial institutions.",{"id":601,"label":602,"issuer":603,"region":150,"url":604,"description":605,"useCases":606,"indexable":331},"pra-ss1-23","PRA SS1/23 model risk management","Prudential Regulation Authority","https://www.bankofengland.co.uk/prudential-regulation/publication/2023/may/model-risk-management-principles-for-banks-ss","UK model risk management principles for banks, covering AI and machine learning models.",4,{"id":608,"label":609,"issuer":610,"region":150,"url":611,"description":612,"useCases":606,"indexable":331},"uk-psr-app-reimbursement","UK APP scam reimbursement rules","Payment Systems Regulator","https://www.psr.org.uk/our-work/app-scams/","Mandatory reimbursement of authorised push payment scam victims by UK payment firms, which shifts scam losses onto banks.",{"id":614,"label":615,"issuer":616,"region":470,"url":617,"description":618,"useCases":61,"indexable":331},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","https://treasury.gov.au/consultation/c2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",{"id":620,"label":621,"issuer":149,"region":150,"url":622,"description":623,"useCases":61,"indexable":331},"eu-mar","EU Market Abuse Regulation","https://eur-lex.europa.eu/eli/reg/2014/596/oj","Regulation (EU) 596/2014: insider dealing and market manipulation, including the duty to detect and report suspicious orders and transactions.",{"id":625,"label":626,"issuer":627,"region":160,"url":628,"description":629,"useCases":61,"indexable":331},"us-fcra","Fair Credit Reporting Act","Federal Trade Commission","https://www.ftc.gov/legal-library/browse/statutes/fair-credit-reporting-act","US rules on consumer reports, their accuracy and permissible use, relevant to credit scoring and screening.",1790598300127]