[{"data":1,"prerenderedAt":574},["ShallowReactive",2],{"uc-property-search-assistant-for-real-estate-portals":3,"uc-regulations":349},{"useCase":4,"evidence":189,"blitsAiDeployments":266,"benchmarks":267,"indicative":268,"related":271,"indexability":347,"includeUnpublished":195},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":17,"functions":19,"patterns":23,"channels":27,"audience":31,"autonomy":32,"adoptionStage":33,"problem":34,"problemStats":35,"howItWorks":36,"valueDrivers":37,"kpis":42,"indicativeValue":47,"macroEstimates":82,"feasibility":83,"implementation":96,"risk":137,"blitsAi":164,"faq":166,"related":179,"datePublished":184,"dateModified":184,"lastVerified":184,"changelog":185,"slug":188},"AI conversational property search assistant for real estate portals","Property search assistant","AI property search assistant for portals","Zillow, Realtor.com and Redfin now offer or pilot AI search that lets buyers and renters search homes in plain language. See how it works and what portals report.","published","A conversational assistant on a real estate listing portal that lets buyers and renters search, compare and narrow down homes in plain language instead of filters, answers affordability and neighborhood questions from the portal's own listing and market data, and hands the shopper to a tour booking or a local agent.",[12,13,14,15,16],"AI home search assistant","conversational real estate search","natural language property search","AI powered listing search","real estate chat search",[18],"real-estate",[20,21,22],"sales","customer-service","marketing",[24,25,26],"conversational-agent","recommendation-and-personalization","agentic-workflow",[28,29,30],"web-chat","mobile-app","api","customer-facing","supervised-agent","early-adopters","Finding a home online still mostly means setting filters (price, beds, baths, radius) and scrolling\nphotos across open tabs, a calculator and a map, even though what a shopper actually wants is\nrarely expressible as a filter: a backyard for a dog, a short commute to a specific office, a\nkitchen that has not been renovated in 20 years, or \"can I afford this if I move in June\". Zillow\ndescribes home search as historically meaning \"setting filters, scrolling through listings,\nopening multiple tabs and windows, pulling up a calculator to piece together whether a place\nactually works.\"\n\nThree large US real estate portals, Zillow, Realtor.com and Redfin, each launched a\nconversational, AI powered search experience within a few months of each other in late 2025 and\n2026, all built on the same idea: let the shopper type or say what they want in their own words,\nkeep the context across a session instead of resetting on every query, and turn the answer into a\nnext step (a comparison, a tour, a connection to an agent) rather than another list of links.",[],"1. **Interpret the question.** A shopper asks in plain language, for example \"Find similar homes\n   within my budget that are closer to light rail\" or \"Can I afford this apartment if I move in\n   June?\" (Zillow's own examples), and the system determines what is really being asked: a search,\n   a comparison, an affordability question or a request to act.\n2. **Route to the right capability.** Zillow describes a multi agent architecture where a central\n   agent invokes domain specific \"skills\" (property search, financing, valuation) rather than\n   relying on one model to answer everything directly; other portals combine natural language\n   parsing with structured search filters underneath.\n3. **Ground the answer in live listing data.** Results and answers come from the portal's own,\n   continuously updated listing inventory, price history and, on Zillow, computer vision over\n   listing photos to reason about layout, light and condition, not from the model's general\n   knowledge.\n4. **Keep context across the session.** Follow up questions (\"I think I can stretch to $650K now,\n   what does that open up\") update the same search instead of starting over, and some portals\n   persist preferences across return visits.\n5. **Turn conversation into action.** The assistant offers to book a tour, apply for a rental or\n   connect the shopper with a local agent or property manager, so the conversation becomes the\n   entry point into the transaction rather than a dead end.\n6. **Screen for fair housing.** Zillow describes a \"Fair Housing Classifier\", a guardrail that\n   evaluates both the shopper's questions and the assistant's answers to help prevent\n   discriminatory steering.",[38,39,40,41],"customer-experience","revenue-growth","speed","inclusion-and-access",[43,44,45,46],"interactions-handled","response-time-reduction","conversion-rate-uplift","users-served",{"referenceOrg":48,"inputs":49,"formula":77,"currency":78,"period":79,"resultLabel":80,"caveat":81},"A real estate portal with 10 million monthly visitors",[50,56,63,70],{"key":51,"label":52,"low":53,"high":53,"unit":54,"note":55},"visitors","Monthly visitors who search for a home",10000000,"visitors per month","The reference portal.",{"key":57,"label":58,"low":59,"high":60,"unit":61,"note":62},"assistantShare","Share of visitors who use the conversational assistant instead of filters alone",0.05,0.15,"fraction of visitors","Editorial assumption for an early stage rollout still in beta on the largest portals as of 2026, replace with your own adoption data.",{"key":64,"label":65,"low":66,"high":67,"unit":68,"note":69},"extraConversionPoints","Extra tour requests or agent connections per 1,000 assisted sessions, versus filter only search",5,15,"extra actions per 1,000 sessions","Editorial assumption; none of the portals in this page's evidence disclose a conversion lift, so treat this as a hypothesis to test with an A/B rollout, not a benchmark. Assumes one assisted session per assisted visitor per month.",{"key":71,"label":72,"low":73,"high":74,"unit":75,"note":76},"valuePerAction","Value of one extra tour request or agent connection to the portal",20,60,"USD per action","Editorial assumption, replace with your own referral or lead value.","visitors * assistantShare / 1000 * extraConversionPoints * valuePerAction * 12","USD","per year","Extra lead value from conversational search","Entirely a modelled hypothesis: no portal in this page's evidence has disclosed a conversion or revenue result for its AI search assistant, which launched in beta in late 2025 and 2026. It leaves out the cost of the AI, the value of consumer trust and the risk that a bad or biased answer drives a shopper away.",[],{"complexity":84,"complexityNote":85,"dataPrerequisites":86,"integrations":91},"high","Search itself is not the hard part; a portal already has structured listing data and filters. The work is in tool or function calling across several specialized skills (search, affordability, valuation, scheduling), maintaining conversational context across a session and return visits, a fair housing guardrail tested on real steering scenarios, and, for the richest experiences, computer vision that reads listing photos rather than only structured fields.",[87,88,89,90],"Live, structured listing inventory with price history and status","Neighborhood, school and market data linked to each listing","The portal's own affordability or valuation model, callable as a tool","A labelled set of fair housing steering scenarios to test the guardrail against",[92,93,94,95],"Listing and MLS data feed","Affordability, mortgage and valuation calculators","Tour scheduling and agent or property manager routing (CRM)","Map, commute and neighborhood data providers",{"steps":97,"guardrails":113,"humanInTheLoop":118,"kpisToInstrument":119,"failureModes":124},[98,101,104,107,110],{"title":99,"detail":100},"Start with search and comparison","Natural language search and side by side comparison of listings rely only on data the portal already has, so they are a natural starting point. Zillow says early testing questions focus on affordability, neighborhood insights and comparing homes with specific features, so plan to bring affordability reasoning in early rather than treating it as a later phase.",{"title":102,"detail":103},"Wrap calculators and data as tools, not model guesses","Affordability, mortgage payment and valuation numbers must come from the portal's own calculators and models, called as tools, the same way a home loan assistant should never let the model compute a repayment itself.",{"title":105,"detail":106},"Build and red team the fair housing guardrail before launch","Write test scenarios that probe for steering, discouragement or disparate treatment by protected characteristic, run them on every model and prompt change, and keep a human review path for edge cases.",{"title":108,"detail":109},"Make the conversation lead somewhere","Every qualified conversation should end with a concrete next step: a tour booking, an application, or a warm handover to a local agent or property manager with the conversation attached.",{"title":111,"detail":112},"Measure adoption honestly before claiming a lift","Track how many visitors use the assistant, how many searches it actually resolves without a filter fallback, and run a controlled comparison against filter only search before crediting it with any conversion gain.",[114,115,116,117],"Search results, price history and valuations only from the portal's own live data, never generated","A fair housing classifier or equivalent guardrail on both the shopper's question and the answer","Every affordability or valuation number computed by a calculator tool, labelled as an estimate","Clear handover to a licensed agent or property manager for advice or a transaction","Licensed agents and property managers own advice, offers, applications and every step of the actual transaction; the assistant informs and schedules. Zillow says AI mode is designed to function within established industry regulations and professional standards, \"supporting, not replacing, licensed expertise in the transaction.\" A product and fair housing team reviews a sample of conversations and every guardrail change.",[120,121,122,123],"Share of visitors who use the assistant instead of, or alongside, filters","Tours booked, applications started and agent connections per assisted session","Guardrail trigger rate and false positive or false negative rate on the fair housing test set","Session return rate and whether context correctly carries across visits",[125,128,131,134],{"title":126,"detail":127},"Steering by omission","The assistant answers accurately but nudges some shoppers toward or away from certain neighborhoods through subtly different framing. Test with paired scenarios that vary only a protected characteristic.",{"title":129,"detail":130},"Stale or wrong listing data","A sold or price changed listing is shown as available at the old price. Read from the live inventory feed, never a cached copy, and show a last updated time.",{"title":132,"detail":133},"Photo reasoning that overclaims","Computer vision over listing photos infers a renovation or condition that is not accurate, misleading a buyer. Label vision derived claims as estimates and let a human correct them.",{"title":135,"detail":136},"A conversation that goes nowhere","Shoppers chat but never reach a tour, application or agent. Instrument the funnel from question to action, not only message volume.",{"euAiAct":138,"regulations":141,"guidance":144,"controls":157,"incidents":163},{"tier":139,"basis":140},"context-dependent","For a typical portal search assistant, the default tier is limited: it falls under the Article 50 transparency duty. It becomes high risk under Annex III point 5(a) only in the narrower case where it is used by a public body or on its behalf to decide eligibility for social housing or other public assistance, which a listing search assistant rarely does. Separately, steering or discriminatory treatment in the answers themselves is unlawful under fair housing and equal treatment law regardless of the AI Act tier.",[142,143],"eu-ai-act","gdpr",[145,151],{"title":146,"issuer":147,"region":148,"url":149,"note":150},"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","Makes it unlawful to indicate a preference, limitation or discrimination based on a protected characteristic in any statement made in connection with the sale or rental of a dwelling, and to represent, because of a protected characteristic, that a dwelling is not available when it is. A search or chat assistant that answers on behalf of a portal or a housing provider speaks on all these points. There is no dedicated US Fair Housing Act id in this library's regulation taxonomy yet; this guidance entry stands in for it.",{"title":152,"issuer":153,"region":154,"url":155,"note":156},"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.",[158,159,160,161,162],"AI disclosure in the assistant's first response","A tested fair housing guardrail on questions and answers, reviewed after every model or prompt change","All financial and valuation numbers sourced from calculator tools, never generated","Logging of conversations, guardrail triggers and handovers for review","Clear escalation path to a licensed agent, broker or property manager",[],{"howToBuild":165},"On Blits.ai this is an **AI agent** with a **knowledge base** of listing, neighborhood and market\ndata retrieved with hybrid search, and **custom functions** that call the portal's own\naffordability, mortgage and valuation calculators and its MLS or listing feed as REST calls, so\nevery number and every result matches what the portal's own systems would show, not a model\nguess. An **agent block inside a flow** can hold deterministic steps, such as a fair housing\nguardrail check, ahead of open ended conversation, and **trigger workflow blocks** hand a\nqualified conversation to an **agentic workflow** that books a tour or opens a case in the CRM.\n\nThe assistant runs on **web chat** and, through the **REST or WebSocket API channel**, inside the\nportal's own mobile app or any other chat surface embedded elsewhere. **Guardrails**, including admin\nauthored content policies, screen every question and answer for steering or disparate treatment\nlanguage, **PII masking** protects contact and financial details, **human handover** connects a\nshopper to a licensed agent, and **test suites** with LLM graded evaluations rerun the fair\nhousing test scenarios on every change. **Per bot analytics** show which questions the assistant\ncannot answer, and the platform is **model agnostic**.",[167,170,173,176],{"question":168,"answer":169},"Which real estate portals have an AI search assistant?","Zillow launched Zillow AI mode in beta in March 2026. Realtor.com launched a natural language search feature in October 2025 and RealAssist AI, built with Google's Gemini, in beta in June 2026. Redfin announced conversational search on Redfin.com in November 2025, extended it to its iOS app by February 2026, and launched an app inside ChatGPT in the week of February 6, 2026.",{"question":171,"answer":172},"Do these assistants report a conversion or revenue lift?","Not yet in public sources. All three portals describe the capability and, for Zillow and Realtor.com, note they are in a beta rollout to a limited group of users, without disclosing usage or conversion figures. Treat any value estimate as a hypothesis to test, not a benchmark.",{"question":174,"answer":175},"Can the assistant tell me if I can afford a home?","It can give an estimate from the portal's own affordability tool, such as Zillow's BuyAbility, clearly labelled as an estimate. A real affordability assessment needs a full mortgage application and underwriting by a lender.",{"question":177,"answer":178},"How is this different from a general purpose AI assistant like ChatGPT?","A portal's assistant answers from the portal's own live, verified listing inventory and calculators. Zillow and Realtor.com say theirs are built with a fair housing guardrail specific to real estate (Zillow's Fair Housing Classifier, Realtor.com's Fair Housing compliance guardrails); Redfin's release does not describe one. Redfin's own app inside ChatGPT is one way a portal meets shoppers who are already using a general assistant, while serving Redfin's own listings and data.",[180,181,182,183],"home-loan-assistant-and-prequalification","apartment-leasing-and-resident-service-agent","property-valuation-support","conversational-shopping-assistant","2026-09-29",[186],{"date":184,"note":187},"First published","property-search-assistant-for-real-estate-portals",[190,224,245],{"title":191,"useCases":192,"organization":193,"vendors":197,"summary":201,"stage":202,"year":203,"channels":204,"languages":205,"metrics":207,"outcomeDisclosed":195,"sources":208,"verification":219,"grade":221,"id":222,"organizationSlug":223},"Realtor.com: natural language search and RealAssist AI",[188],{"name":194,"anonymized":195,"country":196,"region":148,"industry":18},"Realtor.com",false,"US",[198],{"name":199,"role":200},"Google Cloud","model-provider","Realtor.com, operated by Move, Inc., a News Corp subsidiary, launched an AI powered natural language search feature in October 2025 that interprets listing details and lets shoppers combine their own words with more than 300 searchable terms and tags. On June 2, 2026, it launched RealAssist AI, built with Google's Gemini and Google Cloud, an AI first search experience that keeps context across sessions, maps commute routes and connects shoppers to a local agent. As of the launch, RealAssist AI is in a beta available to a select group of logged in users, with full availability rolling out afterward.","pilot",2026,[28,29],[206],"en",[],[209,214],{"url":210,"title":211,"publisher":212,"date":213},"https://www.googlecloudpresscorner.com/2026-06-02-Realtor-com-R-Launches-RealAssist-TM-AI-A-Completely-Reimagined-Way-to-Find-A-Home","Realtor.com Launches RealAssist AI: A Completely Reimagined Way to Find A Home","Realtor.com (via Google Cloud Press Corner)","2026-06-02",{"url":215,"title":216,"publisher":217,"date":218},"https://www.housingwire.com/articles/realtor-com-launches-ai-powered-home-search-tool/","Realtor.com launches AI-powered home search tool","HousingWire","2025-10-09",{"level":220,"checkedAt":184},"source-verified","B","realtor-com-realassist-ai-search",null,{"title":225,"useCases":226,"organization":227,"vendors":229,"summary":233,"stage":234,"year":203,"channels":235,"languages":236,"metrics":237,"outcomeDisclosed":195,"sources":238,"verification":243,"grade":221,"id":244,"organizationSlug":223},"Redfin: conversational search and a Redfin app in ChatGPT",[188],{"name":228,"anonymized":195,"country":196,"region":148,"industry":18},"Redfin",[230],{"name":231,"role":232},"OpenAI","platform","Redfin, part of Rocket Companies, announced conversational search on Redfin.com in November 2025, letting home searchers ask questions and refine results in plain language rather than filters, and extended it to its iOS app. In the week of February 6, 2026, Redfin launched an app inside ChatGPT so users can search Redfin's listings, data and market insights directly within ChatGPT, carrying context across follow up questions about neighborhoods, commute times or price history. Redfin says it remains the only brokerage that lets people hold an ongoing, back and forth conversation directly in the search bars on its own website and mobile app.","production",[28,29,30],[206],[],[239],{"url":240,"title":241,"publisher":228,"date":242},"https://www.redfin.com/news/press-releases/redfin-debuts-real-estate-app-in-chatgpt/","Redfin Debuts Real Estate App in ChatGPT","2026-02-06",{"level":220,"checkedAt":184},"redfin-chatgpt-conversational-search",{"title":246,"useCases":247,"organization":248,"vendors":250,"summary":251,"stage":202,"year":203,"channels":252,"languages":253,"metrics":254,"outcomeDisclosed":195,"sources":255,"verification":264,"grade":221,"id":265,"organizationSlug":223},"Zillow: AI mode conversational property search",[188],{"name":249,"anonymized":195,"country":196,"region":148,"industry":18},"Zillow Group",[],"Zillow launched Zillow AI mode on March 25, 2026, a conversational experience that lets buyers and renters ask questions in natural language, such as affordability or neighborhood questions, and take actions like booking a tour or connecting with an agent. It uses a multi agent architecture where a central agent invokes domain specific skills (search, financing, valuation) and includes a \"Fair Housing Classifier\" guardrail that checks both questions and answers. The rollout is a beta available to a limited group of users, with a wider rollout planned during 2026.",[28,29],[206],[],[256,261],{"url":257,"title":258,"publisher":259,"date":260},"https://www.zillow.com/news/zillow-debuts-ai-mode/","Zillow debuts AI mode, bringing guided intelligence to every step of the housing journey","Zillow","2026-03-25",{"url":262,"title":263,"publisher":259,"date":260},"https://www.zillow.com/news/how-zillows-new-ai-mode-works-throughout-the-real-estate-journey/","How Zillow's new AI mode works throughout the real estate journey",{"level":220,"checkedAt":184},"zillow-ai-mode-property-search",0,[],{"low":269,"high":270},600000,16200000,[272,292,304,323],{"slug":180,"title":273,"shortTitle":274,"definition":275,"status":9,"industries":276,"functions":278,"patterns":280,"audience":31,"autonomy":32,"adoptionStage":33,"segment":283,"evidenceCount":284,"publicEvidenceCount":284,"organizations":285,"bestGrade":289,"headline":223,"lastVerified":290,"indexable":291},"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.",[277,18],"banking",[279,20,21],"lending-and-credit",[281,24,282],"rag-knowledge-assistant","voice-agent","front-office",3,[286,287,288],"Figure","Loft","Safe Rate","C","2026-09-27",true,{"slug":181,"title":293,"shortTitle":294,"definition":295,"status":9,"industries":296,"functions":297,"patterns":299,"audience":31,"autonomy":32,"adoptionStage":33,"evidenceCount":284,"publicEvidenceCount":284,"organizations":300,"bestGrade":221,"headline":223,"lastVerified":290,"indexable":291},"AI agent for apartment leasing inquiries and resident service","Leasing and resident service agent","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.",[18],[21,20,298],"operations",[24,282,26,281],[301,302,303],"Asset Living","AvalonBay Communities","Equity Residential",{"slug":182,"title":305,"shortTitle":306,"definition":307,"status":9,"industries":308,"functions":310,"patterns":312,"audience":315,"autonomy":32,"adoptionStage":316,"segment":317,"evidenceCount":284,"publicEvidenceCount":284,"organizations":318,"bestGrade":221,"headline":223,"lastVerified":322,"indexable":291},"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.",[18,277,309],"government",[279,311,298],"case-management",[313,314],"prediction-and-scoring","classification-and-routing","employee-facing","mainstream","lending",[319,320,321],"Fannie Mae","Riverside County Assessor-County Clerk-Recorder","Valuation Office Agency","2026-09-28",{"slug":183,"title":324,"shortTitle":325,"definition":326,"status":9,"industries":327,"functions":330,"patterns":331,"audience":31,"autonomy":332,"adoptionStage":33,"evidenceCount":333,"publicEvidenceCount":66,"organizations":334,"bestGrade":221,"headline":340,"lastVerified":290,"indexable":291},"AI shopping assistant for product discovery and recommendations","Conversational shopping assistant","A conversational assistant on a retailer's site or app that answers product questions, compares items and recommends products from the retailer's own catalog for a need, project or occasion described in the shopper's own words, grounded in product data, reviews and stock, and hands the shopper to a basket, a store or a human expert.",[328,329],"cross-industry","retail-and-ecommerce",[20,22,21],[24,25,281,26],"autonomous",10,[335,336,337,338,339],"Amazon","Lowe's","Sun & Ski Sports","Walmart","Zalando",{"kpi":45,"label":341,"unit":342,"n":343,"nUpTo":266,"kind":344,"value":284,"qualifier":345,"claimant":346,"organization":337,"vendorReported":291},"Conversion uplift","multiplier",1,"reported","exact","vendor",{"indexable":291,"reasons":348},[],[350,355,360,368,375,382,388,395,403,410,417,424,430,436,443,449,455,462,468,474,480,487,492,498,503,508,513,519,526,532,539,546,552,558,563,568],{"id":142,"label":351,"issuer":153,"region":154,"url":352,"description":353,"useCases":354,"indexable":291},"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.",230,{"id":143,"label":356,"issuer":153,"region":154,"url":357,"description":358,"useCases":359,"indexable":291},"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.",207,{"id":361,"label":362,"issuer":363,"region":364,"url":365,"description":366,"useCases":367,"indexable":291},"iso-42001","ISO/IEC 42001","ISO and IEC","global","https://www.iso.org/standard/81230.html","The international management system standard for AI.",122,{"id":369,"label":370,"issuer":371,"region":148,"url":372,"description":373,"useCases":374,"indexable":291},"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.",92,{"id":376,"label":377,"issuer":378,"region":154,"url":379,"description":380,"useCases":381,"indexable":291},"uk-gdpr","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.",71,{"id":383,"label":384,"issuer":153,"region":154,"url":385,"description":386,"useCases":387,"indexable":291},"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":389,"label":390,"issuer":391,"region":154,"url":392,"description":393,"useCases":394,"indexable":291},"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.",50,{"id":396,"label":397,"issuer":398,"region":399,"url":400,"description":401,"useCases":402,"indexable":291},"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.",37,{"id":404,"label":405,"issuer":406,"region":399,"url":407,"description":408,"useCases":409,"indexable":291},"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":411,"label":412,"issuer":413,"region":148,"url":414,"description":415,"useCases":416,"indexable":291},"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.",22,{"id":418,"label":419,"issuer":420,"region":364,"url":421,"description":422,"useCases":423,"indexable":291},"pci-dss","PCI DSS","PCI Security Standards Council","https://www.pcisecuritystandards.org/","Security standard for any system that stores, processes or transmits cardholder data.",21,{"id":425,"label":426,"issuer":153,"region":154,"url":427,"description":428,"useCases":429,"indexable":291},"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.",17,{"id":431,"label":432,"issuer":433,"region":154,"url":434,"description":435,"useCases":429,"indexable":291},"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.",{"id":437,"label":438,"issuer":439,"region":148,"url":440,"description":441,"useCases":442,"indexable":291},"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.",16,{"id":444,"label":445,"issuer":446,"region":364,"url":447,"description":448,"useCases":67,"indexable":291},"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.",{"id":450,"label":451,"issuer":153,"region":154,"url":452,"description":453,"useCases":454,"indexable":291},"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":456,"label":457,"issuer":458,"region":148,"url":459,"description":460,"useCases":461,"indexable":291},"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":463,"label":464,"issuer":465,"region":148,"url":466,"description":467,"useCases":461,"indexable":291},"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":469,"label":470,"issuer":153,"region":154,"url":471,"description":472,"useCases":473,"indexable":291},"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":475,"label":476,"issuer":477,"region":364,"url":478,"description":479,"useCases":473,"indexable":291},"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":481,"label":482,"issuer":483,"region":148,"url":484,"description":485,"useCases":486,"indexable":291},"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.",11,{"id":488,"label":489,"issuer":153,"region":154,"url":490,"description":491,"useCases":486,"indexable":291},"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":493,"label":494,"issuer":495,"region":154,"url":496,"description":497,"useCases":333,"indexable":291},"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":499,"label":500,"issuer":398,"region":399,"url":501,"description":502,"useCases":333,"indexable":291},"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":504,"label":505,"issuer":153,"region":154,"url":506,"description":507,"useCases":333,"indexable":291},"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":509,"label":510,"issuer":153,"region":154,"url":511,"description":512,"useCases":333,"indexable":291},"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":514,"label":515,"issuer":153,"region":154,"url":516,"description":517,"useCases":518,"indexable":291},"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.",9,{"id":520,"label":521,"issuer":522,"region":148,"url":523,"description":524,"useCases":525,"indexable":291},"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.",7,{"id":527,"label":528,"issuer":153,"region":154,"url":529,"description":530,"useCases":531,"indexable":291},"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":533,"label":534,"issuer":535,"region":536,"url":537,"description":538,"useCases":66,"indexable":291},"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":540,"label":541,"issuer":542,"region":154,"url":543,"description":544,"useCases":545,"indexable":291},"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":547,"label":548,"issuer":549,"region":154,"url":550,"description":551,"useCases":545,"indexable":291},"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":553,"label":554,"issuer":555,"region":399,"url":556,"description":557,"useCases":284,"indexable":291},"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":559,"label":560,"issuer":153,"region":154,"url":561,"description":562,"useCases":284,"indexable":291},"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":564,"label":565,"issuer":153,"region":154,"url":566,"description":567,"useCases":284,"indexable":291},"eu-mortgage-credit-directive","EU Mortgage Credit Directive","https://eur-lex.europa.eu/eli/dir/2014/17/oj","Directive 2014/17/EU: creditworthiness assessment, disclosure and advice rules for residential mortgage lending.",{"id":569,"label":570,"issuer":571,"region":148,"url":572,"description":573,"useCases":284,"indexable":291},"nyc-local-law-144","NYC Local Law 144","New York City","https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page","Bias audits and notices for automated employment decision tools used in hiring and promotion in New York City.",1790683489215]