[{"data":1,"prerenderedAt":593},["ShallowReactive",2],{"uc-apartment-leasing-and-resident-service-agent":3,"uc-regulations":386},{"useCase":4,"evidence":209,"blitsAiDeployments":292,"benchmarks":293,"indicative":300,"related":303,"indexability":384,"includeUnpublished":215},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":17,"functions":19,"patterns":23,"channels":28,"audience":33,"autonomy":34,"adoptionStage":35,"problem":36,"problemStats":37,"howItWorks":38,"valueDrivers":39,"kpis":45,"indicativeValue":52,"macroEstimates":93,"feasibility":94,"implementation":106,"risk":149,"blitsAi":191,"faq":193,"related":203,"datePublished":204,"dateModified":204,"lastVerified":204,"changelog":205,"slug":208},"AI agent for apartment leasing inquiries and resident service","Leasing and resident service agent","AI leasing agent for apartments and residents","AI agents answer rental prospects, support tours and handle resident requests and reminders. Equity Residential, AvalonBay and Asset Living use AI in leasing.","published","An AI agent that answers rental prospects and residents by chat, text, email and phone for a property manager: it answers questions about apartments and policies, books tours, takes maintenance requests, sends renewal and payment reminders, and hands anything that needs judgment to leasing or service staff.",[12,13,14,15,16],"AI leasing assistant","virtual leasing agent","AI resident assistant","property management chatbot","tenant service chatbot",[18],"real-estate",[20,21,22],"customer-service","sales","operations",[24,25,26,27],"conversational-agent","voice-agent","agentic-workflow","rag-knowledge-assistant",[29,30,31,32],"sms","email","web-chat","voice","customer-facing","supervised-agent","early-adopters","Rental housing runs on a constant stream of routine conversations: is the two bedroom still\navailable, can I tour on Saturday, is parking included, my sink is leaking, when is my renewal\noffer coming. Questions can arrive at any hour, and a prospect who contacts several buildings may\nmove on to whichever answers first.\n\nOn site teams split their day between prospects, residents, rent collection and paperwork, and an\noperator with hundreds of communities has to keep response times and service consistent across\nall of them. AvalonBay supports its resident focused on site associates with centralized customer\ncare: an AI assistant answers prospects' common questions before self guided tours, and renewals\nare handled AI first, with a central associate following up when the AI cannot answer. Equity\nResidential lists AI responses to customer inquiries among its operating technology in its 10-K,\nand its chief operating officer credited centralization, automation and AI together for a 15% cut\nin on site payroll, as reported by Multifamily Dive.",[],"1. **Answer every lead at once.** The agent replies to inquiries from listing sites, the\n   property website, text, email and phone, using current availability, pricing and community\n   information.\n2. **Book the next step.** It schedules guided or self guided tours, sends access details and\n   follows up after the tour, and records everything in the CRM.\n3. **Serve residents.** It takes maintenance requests with the details the technician needs,\n   creates the work order, gives status updates and answers questions about the lease, rent and\n   community rules.\n4. **Remind and renew.** It sends payment reminders and renewal offers prepared by staff, and\n   answers questions about them.\n5. **Hand over.** Emergencies, complaints, fair housing sensitive questions, accommodation\n   requests, disputes and anything outside its knowledge go to a person immediately, with the\n   conversation attached.",[40,41,42,43,44],"cost-to-serve","revenue-growth","customer-experience","speed","employee-productivity",[46,47,48,49,50,51],"interactions-handled","response-time-reduction","conversion-rate-uplift","containment-rate","hours-saved","cost-reduction",{"referenceOrg":53,"inputs":54,"formula":88,"currency":89,"period":90,"resultLabel":91,"caveat":92},"A property manager with 50,000 apartment homes",[55,60,67,74,81],{"key":56,"label":57,"low":58,"high":58,"unit":56,"note":59},"homes","Apartment homes managed",50000,"The reference property manager.",{"key":61,"label":62,"low":63,"high":64,"unit":65,"note":66},"contactsPerHome","Prospect and resident contacts per home per year",10,20,"contacts per home per year","Editorial assumption covering leasing inquiries, tours, maintenance requests and account questions. Replace with your own contact volume.",{"key":68,"label":69,"low":70,"high":71,"unit":72,"note":73},"automatedShare","Share of contacts the agent handles without staff",0.3,0.6,"fraction of contacts","Editorial assumption, replace with your own data after a pilot.",{"key":75,"label":76,"low":77,"high":78,"unit":79,"note":80},"minutesPerContact","Staff minutes per contact",4,8,"minutes per contact","Editorial assumption, replace with a time study of your leasing and service teams.",{"key":82,"label":83,"low":84,"high":85,"unit":86,"note":87},"staffCostPerHour","Fully loaded cost of a leasing or service staff hour",25,35,"USD per hour","Editorial assumption, replace with your own cost.","homes * contactsPerHome * automatedShare * minutesPerContact / 60 * staffCostPerHour","USD","per year","Leasing and service staff time released","Staff time only. It leaves out the revenue effect of faster responses and reminders on occupancy and on time rent (Asset Living credits its occupancy gain to around the clock responsiveness and its on time rent gain to payment reminders), and the cost of the platform, integrations and the centralization that usually comes with it.",[],{"complexity":95,"complexityNote":96,"dataPrerequisites":97,"integrations":101},"medium","Answering questions is simple; the value needs live availability, tour scheduling, work orders and resident accounts, which means integration with the property management system and CRM, and a clear split of work between the agent, a central team and on site staff.",[98,99,100],"Current availability, pricing, fees and community information per property","Lease terms, policies and house rules, reviewed for fair housing compliance","Maintenance categories with emergency definitions and triage questions",[102,103,104,105],"Property management system (units, residents, leases, ledgers, work orders)","CRM and listing sites for leads and tours","Calendar, access control or smart locks for self guided tours","Telephony, SMS and email for the agent and handover to staff",{"steps":107,"guardrails":123,"humanInTheLoop":129,"kpisToInstrument":130,"failureModes":136},[108,111,114,117,120],{"title":109,"detail":110},"Start with leasing inquiries","Leads are high volume and time sensitive, and answers come from structured data. Measure response time, tours booked and conversion per property before and after.",{"title":112,"detail":113},"Write down what stays human","Emergencies, reasonable accommodation requests, complaints, disputes, eviction related questions and anything touching screening decisions go to staff. Make the agent say so and hand over.",{"title":115,"detail":116},"Review content for fair housing","Check that answers, follow ups and targeting treat every prospect the same way, and test the agent with scenarios that probe for steering or discouraging language.",{"title":118,"detail":119},"Add maintenance intake","Teach the agent to recognize emergencies (gas, flooding, no heat) and escalate at once, and to collect the details technicians need for routine requests.",{"title":121,"detail":122},"Add reminders and renewals","Send payment reminders and renewal offers prepared by staff, with opt outs and quiet hours, and route hardship conversations to a person.",[124,125,126,127,128],"Answers only from current property data and approved policies, with a handover when unsure","Immediate escalation of emergencies and safety issues to on call staff","No screening, approval or pricing decisions by the agent","Consistent answers for every prospect, tested for fair housing risks","Consent, opt out and quiet hours for texts and calls","Leasing and service staff own tours, applications, screening, renewals pricing and every exception. A central team reviews handovers and a sample of conversations weekly, and on site staff handle residents in person.",[131,132,133,134,135],"Median first response time to leads, by hour of day","Tours booked and leases signed per lead, per property","Share of conversations handled without staff, and handover reasons","Maintenance requests with complete information at first contact","Resident satisfaction and complaints mentioning the agent",[137,140,143,146],{"title":138,"detail":139},"Stale availability or pricing","The agent promises a unit or price that is gone. Read live data from the property management system, not a copied list.",{"title":141,"detail":142},"Missed emergencies","A burst pipe is logged as a routine request. Use explicit emergency triage questions and escalate on any doubt.",{"title":144,"detail":145},"Discriminatory patterns","Answers or follow ups differ by a prospect's characteristics, which can breach fair housing law. Standardize answers and test regularly.",{"title":147,"detail":148},"Residents who cannot reach a person","Automation that blocks access to staff drives complaints and churn. Make handover easy and visible.",{"euAiAct":150,"regulations":153,"guidance":158,"controls":180,"incidents":186},{"tier":151,"basis":152},"context-dependent","An agent that answers questions, books tours and takes requests falls under the transparency duty of Article 50. It becomes high risk under Annex III point 5(b) if it evaluates the creditworthiness of applicants, for example in tenant screening, and under point 5(a) if a public body uses it to decide eligibility for social housing or other public assistance.",[154,155,156,157],"eu-ai-act","gdpr","uk-gdpr","us-tcpa",[159,165,170,176],{"title":160,"issuer":161,"region":162,"url":163,"note":164},"42 U.S. Code 3604, discrimination in the sale or rental of housing (Fair Housing Act)","United States Congress","north-america","https://www.law.cornell.edu/uscode/text/42/3604","The Fair Housing Act makes it unlawful to discriminate in the terms or services of a rental, to publish statements that indicate a preference based on a protected characteristic, to tell someone a dwelling is unavailable when it is available, and to refuse reasonable accommodations for people with disabilities. An agent that answers prospects and residents speaks for the housing provider on all four points.",{"title":166,"issuer":167,"region":162,"url":168,"note":169},"HUD Issues Fair Housing Act Guidance on Applications of Artificial Intelligence (May 2024, archived)","US Department of Housing and Urban Development","https://archives.hud.gov/news/2024/pr24-098.cfm","Historical context, not current guidance. In May 2024 HUD issued two guidance documents on how the Fair Housing Act applies to tenant screening and to targeted housing ads when AI and algorithms are used. The announcement was moved to the HUD archive on February 3, 2025, and the two guidance documents are no longer published at their hud.gov addresses; the PDFs linked from this archived announcement remain on archives.hud.gov. The statute itself still applies.",{"title":171,"issuer":172,"region":173,"url":174,"note":175},"Article 50, transparency obligations for providers and deployers of certain AI systems","European Union","europe","https://artificialintelligenceact.eu/article/50/","People must be informed that they are interacting with an AI system unless this is obvious from the context.",{"title":177,"issuer":172,"region":173,"url":178,"note":179},"Annex III, high risk AI systems (point 5, essential private and public services)","https://artificialintelligenceact.eu/annex/3/","Lists creditworthiness evaluation of natural persons and eligibility for public assistance as high risk uses.",[181,182,183,184,185],"AI disclosure in the first message and on calls","Fair housing review of content and regular testing for inconsistent treatment","Consent records and opt outs for text messages and calls","Logging of every conversation, action and handover","Clear separation between the agent and any screening or pricing system (the Fair Credit Reporting Act applies once a deployment obtains or uses consumer reports to screen applicants)",[187],{"title":188,"url":189,"note":190},"Louis v. SafeRent Solutions, tenant screening algorithm settlement","https://www.cohenmilstein.com/case-study/louis-et-al-v-saferent-solutions-et-al/","Plaintiffs alleged that a tenant screening score gave disproportionately low scores to Black and Hispanic applicants using housing vouchers, in breach of the Fair Housing Act. The court granted final approval of a $2.275 million settlement with injunctive relief in November 2024. It concerns screening, not a leasing agent, and shows why the agent should stay out of screening decisions.",{"howToBuild":192},"On Blits.ai this is an **AI agent** with **custom functions** that call the property management\nsystem and CRM as REST calls (availability, tour slots, work orders, account balances), and a\n**knowledge base** per property with policies and community information, retrieved with hybrid\nsearch. Maintenance intake runs as a **flow** with deterministic emergency triage questions\nbefore the agent takes over routine requests. **Agentic workflows** triggered on a schedule send\nreminders and follow ups, and **agentic tasks** act when a condition is met, such as a work order\nthat is still open after a set time.\n\nThe same agent serves **web chat, SMS, WhatsApp, email and voice**, with streaming speech\nrecognition and synthesis on the phone and call transfer to the leasing office. **Human\nhandover** and live takeover pass conversations to staff with context, **guardrails** and **PII\nmasking** protect resident data, **test suites** run fair housing and emergency scenarios on every\nchange, and **per bot analytics** and **per agent metrics** show volumes, satisfaction and agent\nperformance. The platform is\nmodel agnostic.",[194,197,200],{"question":195,"answer":196},"Which property managers use AI leasing agents?","Equity Residential lists AI responses to customer inquiries among its operating technology in its 10-K, AvalonBay describes on site associates supported by centralized shared services and a technology platform with automation and AI, and Asset Living uses EliseAI for leasing, collections, maintenance and renewals across more than 450,000 units.",{"question":198,"answer":199},"What results do operators report?","Asset Living reports more than 130,000 personalized payment reminders sent in one quarter, higher on time rent payments and occupancy, and about 78 hours of extra staff capacity per community per month. On its earnings call, as reported by Multifamily Dive, Equity Residential attributed a 15% cut in on site payroll to centralization, automation and AI together, so the AI share is not separable.",{"question":201,"answer":202},"Does fair housing law apply to an AI leasing agent?","Yes. The Fair Housing Act covers what a housing provider says and does, whoever or whatever says it: an agent that steers prospects, tells some of them a unit is unavailable or mishandles an accommodation request creates the same exposure as a staff member. HUD stated in 2024 guidance, since archived, that the Act applies when AI and algorithms are used in tenant screening and housing advertising. Keep screening decisions out of the agent and test that it treats every prospect the same way.",[],"2026-09-27",[206],{"date":204,"note":207},"First published","apartment-leasing-and-resident-service-agent",[210,246,269],{"title":211,"useCases":212,"organization":213,"vendors":217,"summary":221,"stage":222,"year":223,"channels":224,"languages":225,"metrics":227,"outcomeDisclosed":236,"sources":237,"verification":241,"grade":243,"id":244,"organizationSlug":245},"Asset Living: EliseAI for leasing, collections, maintenance and renewals",[208],{"name":214,"anonymized":215,"country":216,"region":162,"industry":18},"Asset Living",false,"US",[218],{"name":219,"role":220},"EliseAI","platform","Asset Living, a Houston based property manager with more than 450,000 units, uses EliseAI's leasing, delinquency, maintenance, renewals and voice products to automate routine prospect and resident communications around the clock. In a joint announcement in September 2025 it reported more than 130,000 personalized payment reminders in the second quarter of 2025, a 600 basis point increase in on time rent payments, a 300 basis point increase in occupancy and 78.2 hours of incremental staff capacity per community per month. It is piloting AI guided tours and lease audits.","scaled",2025,[32],[226],"en",[228],{"kpi":46,"value":229,"unit":230,"qualifier":231,"period":232,"claimant":233,"quote":234,"sourceUrl":235},130000,"count","at-least","second quarter of 2025, personalized payment reminders sent","organization","600 bps increase in on-time rent payments, enabled by over 130,000 personalized payment reminders in Q2 2025.","https://www.assetliving.com/blogs/asset-living-advances-operational-excellence-with-eliseai-partnership",true,[238],{"url":235,"title":239,"publisher":214,"date":240},"Asset Living Advances Operational Excellence with EliseAI Partnership","2025-09-16",{"level":242,"checkedAt":204},"source-verified","B","asset-living-eliseai-leasing-and-resident-communications",null,{"title":247,"useCases":248,"organization":249,"vendors":251,"summary":252,"stage":222,"year":223,"channels":253,"languages":254,"metrics":255,"outcomeDisclosed":215,"sources":256,"verification":267,"grade":243,"id":268,"organizationSlug":245},"AvalonBay Communities: AI supported leasing, self guided tours and centralized customer care",[208],{"name":250,"anonymized":215,"country":216,"region":162,"industry":18},"AvalonBay Communities",[],"AvalonBay describes an operating model in which on site associates are supported by a centralized shared services organization and a technology platform that incorporates automation and AI. Its executives told Nareit that an AI assistant named Sidney answers prospects' common questions before self guided tours, that renewals are handled AI first with a central associate following up when the AI cannot answer, and that residents submit and track maintenance requests digitally. The company opened a second customer care center in San Antonio to extend leasing, renewal and service support; the article carries no date, and its wording (17 years since the first center opened in 2007, a San Antonio opening \"this spring\") places those details around 2024.",[],[226],[],[257,262],{"url":258,"title":259,"publisher":260,"date":261},"https://www.sec.gov/Archives/edgar/data/915912/000091591226000004/avb-20251231.htm","AvalonBay Communities Form 10-K for the fiscal year 2025","AvalonBay Communities (SEC EDGAR)","2026-02-27",{"url":263,"title":264,"publisher":265,"archivedUrl":266},"https://www.reit.com/news/articles/avalonbay-integrates-ai-opens-second-customer-care-center-to-advance-centralization","AvalonBay Integrates AI, Opens Second Customer Care Center to Advance Centralization","Nareit","https://web.archive.org/web/20251031122208/https://www.reit.com/news/articles/avalonbay-integrates-ai-opens-second-customer-care-center-to-advance-centralization",{"level":242,"checkedAt":204},"avalonbay-ai-leasing-and-customer-care",{"title":270,"useCases":271,"organization":272,"vendors":274,"summary":275,"stage":222,"year":223,"channels":276,"languages":277,"metrics":278,"outcomeDisclosed":236,"sources":279,"verification":290,"grade":243,"id":291,"organizationSlug":245},"Equity Residential: AI responses to customer inquiries in apartment leasing and service",[208],{"name":273,"anonymized":215,"country":216,"region":162,"industry":18},"Equity Residential",[],"Equity Residential, a large US apartment REIT, lists artificial intelligence responses to customer inquiries, self guided tours and enhanced service and maintenance management among its operating technology in its annual report, and says it has incorporated generative and/or agentic AI within its business. According to Multifamily Dive's report of the fourth quarter 2025 earnings call, the company's chief operating officer said its first round of centralization, automation and AI in parts of the leasing process had cut on site payroll by 15%, and that it expects more AI enabled applications and other automation, added over the next 18 months, to reduce on site payroll by a further 5% to 10% over the next several years (a forecast).",[],[226],[],[280,285],{"url":281,"title":282,"publisher":283,"date":284},"https://www.sec.gov/Archives/edgar/data/906107/000119312526051433/eqr-20251231.htm","Equity Residential Form 10-K for the fiscal year 2025","Equity Residential (SEC EDGAR)","2026-02-13",{"url":286,"title":287,"publisher":288,"date":289},"https://www.multifamilydive.com/news/equity-residential-2025-earnings-q4/811880/","Equity Residential saw AI, automation bump in 2025","Multifamily Dive","2026-02-10",{"level":242,"checkedAt":204},"equity-residential-ai-leasing-and-resident-service",0,[294],{"kpi":46,"label":295,"unit":230,"aggregate":215,"higherIsBetter":236,"n":296,"nUpTo":292,"median":229,"min":229,"max":229,"byClaimant":297,"vendorOnly":215,"points":298},"Interactions handled",1,{"organization":296,"vendor":292,"regulator":292,"independent":292},[299],{"evidenceId":244,"organization":214,"value":229,"qualifier":231,"claimant":233,"grade":243,"pooled":236},{"low":301,"high":302},250000,2800000,[304,322,343,363],{"slug":305,"title":306,"shortTitle":307,"definition":308,"status":9,"industries":309,"functions":314,"patterns":315,"audience":33,"autonomy":316,"adoptionStage":35,"evidenceCount":77,"publicEvidenceCount":77,"organizations":317,"bestGrade":243,"headline":245,"lastVerified":204,"indexable":236},"branch-and-appointment-booking-agent","AI agent for branch finding and appointment booking","Branch and appointment booking","A conversational agent that finds the nearest suitable location, checks opening hours and which services it offers, books an in person or video appointment with the right specialist, and records the reason for the visit so staff are prepared. In banking it answers \"where is my nearest branch\" and books the mortgage or business banker; the same job exists in retail, healthcare and property.",[310,311,312,313,18],"cross-industry","banking","retail-and-ecommerce","healthcare",[20,21],[24,26,27,25],"autonomous",[318,319,320,321],"Bank of America","Best Buy","Hemominas","MOGUL.sg",{"slug":323,"title":324,"shortTitle":325,"definition":326,"status":9,"industries":327,"functions":329,"patterns":330,"audience":33,"autonomy":34,"adoptionStage":331,"segment":332,"evidenceCount":77,"publicEvidenceCount":333,"organizations":334,"bestGrade":243,"headline":337,"lastVerified":204,"indexable":236},"account-and-card-servicing-agent","AI agent for account and card servicing","Account and card servicing","An AI agent that resolves routine account and card requests end to end, such as balances, statements, card blocks and replacements, PIN resets and limit changes, across app, web, messaging and phone, and hands anything sensitive or unusual to a human with the full context.",[311,328],"payments",[20,22],[24,25,26,27],"mainstream","front-office",2,[335,336],"Commonwealth Bank of Australia","DBS Bank",{"kpi":49,"label":338,"unit":339,"n":333,"nUpTo":292,"kind":340,"value":341,"qualifier":342,"claimant":233,"organization":336,"vendorReported":215},"Containment rate","percent","reported",90,"approximately",{"slug":344,"title":345,"shortTitle":346,"definition":347,"status":9,"industries":348,"functions":350,"patterns":351,"audience":33,"autonomy":34,"adoptionStage":35,"segment":352,"evidenceCount":353,"publicEvidenceCount":353,"organizations":354,"bestGrade":243,"headline":361,"lastVerified":204,"indexable":236},"insurance-policy-servicing-agent","AI agent for insurance policy servicing","Policy servicing agent","An AI agent that answers policyholders' coverage questions from their own policy documents and completes routine policy changes and document requests (address and vehicle changes, adding a named driver or item, payment method updates, certificates and proof of cover) across chat, messaging and phone, and hands anything complex or sensitive to a human with the context.",[349],"insurance",[20,22],[24,25,27,26],"policy-administration",6,[355,356,357,358,359,360],"LAQO","Lemonade","Nsure.com","Sun Life","Waterdrop","Zurich Insurance (Hong Kong)",{"kpi":49,"label":338,"unit":339,"n":333,"nUpTo":292,"kind":340,"value":362,"qualifier":231,"claimant":233,"organization":356,"vendorReported":215},50,{"slug":364,"title":365,"shortTitle":366,"definition":367,"status":9,"industries":368,"functions":369,"patterns":370,"audience":33,"autonomy":34,"adoptionStage":331,"evidenceCount":371,"publicEvidenceCount":371,"organizations":372,"bestGrade":243,"headline":377,"lastVerified":383,"indexable":236},"order-status-and-returns-agent","AI agent for order status, delivery changes and returns","Order status and returns","An AI agent that answers \"where is my order\", changes delivery details and arranges returns, exchanges and refunds end to end for online and omnichannel shoppers, by reading and writing to the order, carrier and returns systems within the retailer's policy, and hands exceptions such as damaged goods, disputes and upset customers to a person.",[310,312,328],[20,22],[24,26,25,27],5,[373,319,374,375,376],"BARK","Klarna","Next","Sun & Ski Sports",{"kpi":378,"label":379,"unit":339,"n":333,"nUpTo":292,"kind":340,"value":380,"qualifier":381,"claimant":382,"organization":373,"vendorReported":236},"customer-satisfaction","Customer satisfaction",98,"exact","vendor","2026-09-26",{"indexable":236,"reasons":385},[],[387,392,397,405,412,418,424,431,439,445,451,457,464,471,477,482,489,495,501,507,513,518,523,528,533,540,546,551,556,563,569,575,582,587],{"id":154,"label":388,"issuer":172,"region":173,"url":389,"description":390,"useCases":391,"indexable":236},"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":155,"label":393,"issuer":172,"region":173,"url":394,"description":395,"useCases":396,"indexable":236},"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":398,"label":399,"issuer":400,"region":401,"url":402,"description":403,"useCases":404,"indexable":236},"iso-42001","ISO/IEC 42001","ISO and IEC","global","https://www.iso.org/standard/81230.html","The international management system standard for AI.",110,{"id":406,"label":407,"issuer":408,"region":162,"url":409,"description":410,"useCases":411,"indexable":236},"nist-ai-rmf","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":413,"label":414,"issuer":172,"region":173,"url":415,"description":416,"useCases":417,"indexable":236},"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":156,"label":419,"issuer":420,"region":173,"url":421,"description":422,"useCases":423,"indexable":236},"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":425,"label":426,"issuer":427,"region":173,"url":428,"description":429,"useCases":430,"indexable":236},"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":432,"label":433,"issuer":434,"region":435,"url":436,"description":437,"useCases":438,"indexable":236},"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":440,"label":441,"issuer":442,"region":435,"url":443,"description":444,"useCases":84,"indexable":236},"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.",{"id":446,"label":447,"issuer":448,"region":401,"url":449,"description":450,"useCases":64,"indexable":236},"pci-dss","PCI DSS","PCI Security Standards Council","https://www.pcisecuritystandards.org/","Security standard for any system that stores, processes or transmits cardholder data.",{"id":452,"label":453,"issuer":454,"region":162,"url":455,"description":456,"useCases":64,"indexable":236},"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":458,"label":459,"issuer":460,"region":173,"url":461,"description":462,"useCases":463,"indexable":236},"uk-atrs","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":465,"label":466,"issuer":467,"region":401,"url":468,"description":469,"useCases":470,"indexable":236},"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":472,"label":473,"issuer":172,"region":173,"url":474,"description":475,"useCases":476,"indexable":236},"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":478,"label":479,"issuer":172,"region":173,"url":480,"description":481,"useCases":476,"indexable":236},"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":483,"label":484,"issuer":485,"region":162,"url":486,"description":487,"useCases":488,"indexable":236},"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":490,"label":491,"issuer":172,"region":173,"url":492,"description":493,"useCases":494,"indexable":236},"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":496,"label":497,"issuer":498,"region":162,"url":499,"description":500,"useCases":494,"indexable":236},"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":502,"label":503,"issuer":504,"region":401,"url":505,"description":506,"useCases":494,"indexable":236},"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":508,"label":509,"issuer":172,"region":173,"url":510,"description":511,"useCases":512,"indexable":236},"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.",11,{"id":157,"label":514,"issuer":515,"region":162,"url":516,"description":517,"useCases":512,"indexable":236},"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":519,"label":520,"issuer":434,"region":435,"url":521,"description":522,"useCases":63,"indexable":236},"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.",{"id":524,"label":525,"issuer":172,"region":173,"url":526,"description":527,"useCases":63,"indexable":236},"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":529,"label":530,"issuer":172,"region":173,"url":531,"description":532,"useCases":63,"indexable":236},"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":534,"label":535,"issuer":536,"region":173,"url":537,"description":538,"useCases":539,"indexable":236},"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.",9,{"id":541,"label":542,"issuer":543,"region":162,"url":544,"description":545,"useCases":78,"indexable":236},"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":547,"label":548,"issuer":172,"region":173,"url":549,"description":550,"useCases":78,"indexable":236},"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":552,"label":553,"issuer":172,"region":173,"url":554,"description":555,"useCases":353,"indexable":236},"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.",{"id":557,"label":558,"issuer":559,"region":560,"url":561,"description":562,"useCases":371,"indexable":236},"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":564,"label":565,"issuer":566,"region":173,"url":567,"description":568,"useCases":77,"indexable":236},"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.",{"id":570,"label":571,"issuer":572,"region":173,"url":573,"description":574,"useCases":77,"indexable":236},"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":576,"label":577,"issuer":578,"region":435,"url":579,"description":580,"useCases":581,"indexable":236},"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.",3,{"id":583,"label":584,"issuer":172,"region":173,"url":585,"description":586,"useCases":581,"indexable":236},"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":588,"label":589,"issuer":590,"region":162,"url":591,"description":592,"useCases":581,"indexable":236},"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.",1790598294190]