[{"data":1,"prerenderedAt":682},["ShallowReactive",2],{"uc-dealer-inbound-call-and-service-scheduling-agent":3,"uc-regulations":448},{"useCase":4,"evidence":181,"blitsAiDeployments":244,"benchmarks":245,"indicative":252,"related":255,"indexability":446,"includeUnpublished":187},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":16,"functions":18,"patterns":21,"channels":25,"audience":27,"autonomy":28,"adoptionStage":29,"problem":30,"problemStats":31,"howItWorks":37,"valueDrivers":38,"kpis":42,"indicativeValue":46,"macroEstimates":82,"feasibility":83,"implementation":96,"risk":140,"blitsAi":160,"faq":162,"related":172,"datePublished":176,"dateModified":176,"lastVerified":176,"changelog":177,"slug":180},"AI voice agent for dealership inbound calls and service scheduling","Dealer inbound call agent","AI voice agent for dealership service calls","AI answers dealership phones and books service. Revmo reports 801 of 1,198 calls at Bulldog Harley-Davidson handled end to end in its first eight weeks.","published","A dealership inbound call agent is an AI voice agent that answers the phone line of a car or motorcycle dealer, books and reschedules service appointments in the scheduling system, answers status and parts questions, and routes sales leads to the right person with context. It covers overflow and after hours calls that would otherwise reach voicemail.",[12,13,14,15],"AI BDC voice agent","dealership AI receptionist","service scheduling voice AI","AI phone agent for car dealers",[17],"automotive",[19,20],"customer-service","sales",[22,23,24],"voice-agent","agentic-workflow","conversational-agent",[26],"voice","customer-facing","supervised-agent","early-adopters","Service customers still book by phone, and the calls arrive while advisors are writing up cars on the\ndrive. In Pied Piper's 2025 mystery shop of 2,105 dealerships, 9% of service callers hung up without\nbeing offered an appointment. A call nobody answers leaves no record in the CRM, so the lost\nappointment is never counted.\n\nRevmo, which sells voice AI to dealers, says most dealer groups already run a business development\ncenter, yet phones still spike at the worst times, such as the service rush, lunch and after hours.\nSpyne reports that about 30% of service demand at Bob King Mazda went uncaptured\nbefore it added an AI agent for overflow and after hours.",[32],{"statement":33,"sourceTitle":34,"sourceUrl":35,"year":36},"Pied Piper's 2025 Service Telephone Effectiveness study found that at dealerships using AI on service calls, the AI handled the call successfully 91% of the time, but when it had to transfer the caller to a person, 56% of those handoffs failed.","Group 1 Tops Pied Piper's 2025 Service Appointment Rankings; Industrywide A.I. Often Beats Human Staff","https:\u002F\u002Fwww.piedpiperpsi.com\u002Fpress\u002Fpress-release-group-1-tops-pied-pipers-2025-service-appointment-rankings-industrywide-a-i-often-beats-human-staff-486.htm",2025,"1. **Answer and understand the request.** The agent picks up every call in the dealership's name and\n   works out whether the caller wants service, parts, a status update or to buy a vehicle.\n2. **Identify the customer and vehicle.** It matches the number to the customer record and the\n   vehicle, with service history and open recalls from the dealer management system.\n3. **Book the service.** It offers open slots from the service scheduling tool, books, confirms and\n   reschedules, and sends a text confirmation.\n4. **Answer status questions.** It tells a caller whether the car is ready or where a repair order\n   stands, from the repair order data.\n5. **Route sales and complex calls.** Sales inquiries, price questions, recalls and anything unusual go to the\n   right person with a summary and the caller's details.\n6. **Log everything.** Each call, outcome and appointment is written back to the CRM so the team sees\n   what came in overnight.",[39,40,41],"revenue-growth","cost-to-serve","customer-experience",[43,44,45],"interactions-handled","containment-rate","hours-saved",{"referenceOrg":47,"inputs":48,"formula":77,"currency":78,"period":79,"resultLabel":80,"caveat":81},"A single rooftop dealership",[49,56,63,70],{"key":50,"label":51,"low":52,"high":53,"unit":54,"note":55},"callsAnswered","Inbound calls answered per year",6000,7800,"calls per year","Bulldog Harley-Davidson's 1,198 calls in its first eight weeks, annualized to about 7,800 and rounded down for the low end. Vendor data from one store, replace with your own call volume.",{"key":57,"label":58,"low":59,"high":60,"unit":61,"note":62},"endToEndShare","Share of answered calls handled end to end with no employee",0.5,0.67,"fraction of calls","Bulldog's 801 of 1,198 calls, about two of every three, as reported by Revmo. The low end is an editorial haircut.",{"key":64,"label":65,"low":66,"high":67,"unit":68,"note":69},"minutesPerCall","Staff minutes per call avoided",3,5,"minutes per call","Editorial assumption, replace with a time study of your own front desk or BDC calls.",{"key":71,"label":72,"low":73,"high":74,"unit":75,"note":76},"costPerHour","Loaded cost of an hour of staff time",25,40,"USD per hour","Editorial assumption, replace with your own loaded cost of an advisor or BDC agent.","callsAnswered * endToEndShare * minutesPerCall \u002F 60 * costPerHour","USD","per year","Staff time cost avoided on calls handled end to end","Hours of staff time only, priced at an assumed hourly cost. It counts no booked service revenue, no recovered after hours calls and no cost of the platform. The call figures come from one vendor's data from one store.",[],{"complexity":84,"complexityNote":85,"dataPrerequisites":86,"integrations":91},"medium","The job rests on two integrations: the service scheduling tool and the dealer management system for customer, vehicle and repair order data. Dealer groups with several scheduling tools or manufacturer portals need each one connected before a group wide rollout.",[87,88,89,90],"Service scheduling availability, advisor calendars and appointment types","Customer, vehicle and service history records","Repair order status","Dealership hours, routing rules and escalation contacts",[92,93,94,95],"Service scheduling tool","Dealer management system and CRM","Telephony and call forwarding","SMS for confirmations",{"steps":97,"guardrails":113,"humanInTheLoop":118,"kpisToInstrument":119,"failureModes":124},[98,101,104,107,110],{"title":99,"detail":100},"Audit missed calls first","Transcribe and categorize a week of inbound calls before the agent answers anything, to size the overflow and after hours volume and pick the first intents.",{"title":102,"detail":103},"Start with overflow and after hours","Route only unanswered and after hours calls to the agent, as Bob King Mazda did, and keep the front desk and BDC on the rest until booking quality is proven.",{"title":105,"detail":106},"Connect scheduling and repair orders","Let the agent book into real advisor calendars and read repair order status. Test double booking, cancellations and recall appointments.",{"title":108,"detail":109},"Write the handover rules","Define which calls go to a person at once: complaints, warranty disputes, price negotiation and safety issues, with the context passed on.",{"title":111,"detail":112},"Review weekly","Listen to a sample of calls, check the booked appointments against show rates and adjust scripts and routing.",[114,115,116,117],"No quoting of final prices or warranty decisions by the agent","Safety issues such as brake or airbag complaints go to a person at once","AI disclosure at the start of the call and a route to a person","Call recording notice under local law","Service advisors and the BDC take handed over calls, complaints and sales conversations. A manager reviews a weekly call sample and approves changes to routing and scripts.",[120,121,122,123],"Answer rate and calls handled end to end without an employee","Appointments booked and show rate","Share of calls routed to a person and the reasons","Service revenue from agent booked appointments",[125,128,131,134,137],{"title":126,"detail":127},"Double bookings","Slots are offered that an advisor already filled by hand. Read live calendars and recheck before confirming.",{"title":129,"detail":130},"Wrong vehicle","A caller with several vehicles gets the wrong service history. Confirm the vehicle before booking.",{"title":132,"detail":133},"Missed urgency","A caller describes a safety fault and is booked for next week. Add urgency phrases that route to a person.",{"title":135,"detail":136},"Broken handover","In Pied Piper's 2025 study, 56% of transfers from AI to a person failed: requests to call back later, voicemail, endless holds and dropped calls. Transfer to a staffed queue with a fallback callback, and measure transfer success separately.",{"title":138,"detail":139},"Inflated numbers","Vendor case studies report appointment counts, revenue, response rates and workload in different ways. Set your own definitions of an answered, resolved and booked call before launch.",{"euAiAct":141,"regulations":144,"guidance":147,"controls":154,"incidents":159},{"tier":142,"basis":143},"limited","A voice agent that talks to customers falls under the transparency duty of Article 50(1): callers must be told they are speaking with an AI system. It does not assess creditworthiness or decide access to essential services.",[145,146],"eu-ai-act","gdpr",[148],{"title":149,"issuer":150,"region":151,"url":152,"note":153},"Article 50, transparency obligations for providers and deployers of certain AI systems","European Union","europe","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj","People must be informed that they are interacting with an AI system unless this is obvious from the context.",[155,156,157,158],"AI disclosure and a route to a person on every call","Call recording notice, retention and access rules","Action limits, bookings only and no price or warranty commitments","Audit log of appointments created by the agent",[],{"howToBuild":161},"On Blits.ai this is a **voice agent** with **custom functions** that read open slots and book,\nconfirm or reschedule service appointments in the dealer's scheduling system over REST, and look up\ncustomer, vehicle and repair order data. **Flows** handle caller and vehicle verification and a\n**knowledge base** answers opening hours, directions and the service menu, while recall and multi issue calls go to an advisor.\n\n**Guardrails** keep the agent from quoting prices or warranty decisions, **PII masking** protects\ncustomer data, and **human handover** passes sales and complex calls to staff with a summary. The same\nagent can also run on **WhatsApp** and **SMS**. **Test suites** replay call scenarios on every change\nand **analytics** show calls handled, bookings and handover reasons.\n\nRun Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private\ncloud, or fully on premises.",[163,166,169],{"question":164,"answer":165},"How many dealership calls can an AI agent handle alone?","Revmo reports that in its first eight weeks at Bulldog Harley-Davidson it answered 1,198 calls and served 801 of them end to end with no employee. Both figures are vendor data from one store.",{"question":167,"answer":168},"Is this the same as dealer service retention outreach?","No. Service retention starts with the dealer texting or emailing owners when service is due. This job starts when the customer calls.",{"question":170,"answer":171},"Are dealership results independently checked?","The deployment figures on this page come from vendors. The closest independent check is Pied Piper's 2025 mystery shop of 2,105 dealerships. AI handled 91% of service calls on its own, but stores relying on AI booked an appointment 86% of the time against 90% for stores relying on people, a gap Pied Piper tied to handoffs to staff that often fell apart.",[173,174,175],"dealer-aftersales-retention-agent","inbound-lead-qualification-agent","first-line-contact-centre-agent","2026-11-11",[178],{"date":176,"note":179},"First published","dealer-inbound-call-and-service-scheduling-agent",[182,215],{"title":183,"useCases":184,"organization":185,"vendors":190,"summary":194,"stage":195,"year":196,"channels":197,"languages":198,"metrics":200,"outcomeDisclosed":201,"sources":202,"verification":210,"grade":212,"id":213,"organizationSlug":214},"Bob King Mazda: Vini AI for service calls and after hours demand",[180],{"name":186,"anonymized":187,"country":188,"region":189,"industry":17},"Bob King Mazda",false,"US","north-america",[191],{"name":192,"role":193},"Spyne","platform","Bob King Mazda, a single location Mazda dealership in Winston-Salem, North Carolina with about 700 repair orders a month, uses Spyne's Vini AI Service Inbound Agent for after hours and overflow service calls. The agent qualifies service intent, helps customers book and runs callbacks and follow ups. Spyne says about 30% of service demand previously went uncaptured and reports a 12% lift in service appointments and full after hours coverage.","production",2026,[26],[199],"en",[],true,[203,206],{"url":204,"title":205,"publisher":192},"https:\u002F\u002Fwww.spyne.ai\u002Fcase-study\u002Fbob-king-mazda","How Bob King Mazda Unlocked 30% More Service Demand with Spyne Vini AI",{"url":207,"title":208,"publisher":192,"date":209},"https:\u002F\u002Fwww.spyne.ai\u002Fblogs\u002F?p=30993","How Car Dealerships Are Using AI Agents Across Sales and Service: Real Use Cases and Results","2026-08-11",{"level":211,"checkedAt":176},"source-verified","C","bob-king-mazda-vini-ai-service-inbound-calls",null,{"title":216,"useCases":217,"organization":218,"vendors":220,"summary":223,"stage":195,"year":196,"channels":224,"languages":225,"metrics":226,"outcomeDisclosed":201,"sources":235,"verification":242,"grade":212,"id":243,"organizationSlug":214},"Bulldog Harley-Davidson: Revmo voice AI answering sales, service and parts calls",[180],{"name":219,"anonymized":187,"country":188,"region":189,"industry":17},"Bulldog Harley-Davidson",[221],{"name":222,"role":193},"Revmo","Bulldog Harley-Davidson, an independent dealership in Smithfield, North Carolina, runs Revmo voice AI on its sales, service and parts lines. The agent books service and recall appointments, answers repair status and parts questions from the Lightspeed DMS and routes the rest to staff with context. Between 28 May and 22 July 2026 it answered 1,198 calls, handled 801 end to end with no employee and booked 69 appointments.",[26],[199],[227],{"kpi":43,"value":228,"unit":229,"qualifier":230,"period":231,"claimant":232,"quote":233,"sourceUrl":234},801,"count","exact","first eight weeks (28 May to 22 July 2026)","vendor","In its first eight weeks (May 28 to July 22, 2026) at Bulldog, Revmo answered 1,198 calls and served 801 customers end to end with no employee needed, routing the other 397 to the right department with full context.","https:\u002F\u002Frevmo.ai\u002Fcase-studies\u002Fbulldog-harley-davidson",[236,238],{"url":234,"title":237,"publisher":222},"Bulldog Harley-Davidson: 801 Calls Served End to End",{"url":239,"title":240,"publisher":222,"date":241},"https:\u002F\u002Frevmo.ai\u002Fblog\u002Fconversational-ai-dealerships-service-bdc","AI That Books Service, Handles Sales Calls, and Remembers Every Customer","2026-08-04",{"level":211,"checkedAt":176},"bulldog-harley-davidson-revmo-voice-ai-service-calls",0,[246],{"kpi":43,"label":247,"unit":229,"aggregate":187,"higherIsBetter":201,"n":248,"nUpTo":244,"median":228,"min":228,"max":228,"byClaimant":249,"vendorOnly":201,"points":250},"Interactions handled",1,{"organization":244,"vendor":248,"regulator":244,"independent":244},[251],{"evidenceId":243,"organization":219,"value":228,"qualifier":230,"claimant":232,"grade":212,"pooled":201},{"low":253,"high":254},3750,17420,[256,273,302,416],{"slug":173,"title":257,"shortTitle":258,"definition":259,"status":9,"industries":260,"functions":261,"patterns":263,"audience":27,"autonomy":28,"adoptionStage":29,"segment":265,"evidenceCount":67,"publicEvidenceCount":67,"organizations":266,"bestGrade":212,"headline":214,"lastVerified":272,"indexable":201},"AI agent for dealer service retention and aftersales outreach","Dealer service retention agent","AI dealer service retention is an AI agent that reaches vehicle owners by text or email when service is due and books the appointment in that conversation. It continuously mines a dealer's service records for each vehicle's factory intervals, declined work, open recalls and lapsed visits, and answers what is due, so a lean service team keeps more of the visits it would otherwise lose to time or a competitor.",[17],[19,262],"operations",[24,23,264],"prediction-and-scoring","aftersales",[267,268,269,270,271],"Fred Anderson Toyota","Maroone Auto Group","Murfreesboro Nissan","Paragon Honda","Village Toyota","2026-09-29",{"slug":174,"title":274,"shortTitle":275,"definition":276,"status":9,"industries":277,"functions":281,"patterns":283,"audience":27,"autonomy":28,"adoptionStage":29,"evidenceCount":285,"publicEvidenceCount":285,"organizations":286,"bestGrade":212,"headline":295,"lastVerified":301,"indexable":201},"AI agent for inbound lead qualification and meeting booking","Inbound lead qualification","An inbound lead qualification agent is an AI agent that engages inbound prospects the moment they arrive, qualifies them and books a meeting or hands them to the right salesperson. It works on the website, chat, messaging or the sales phone line, answers their first questions, qualifies against the organization's criteria, and writes the conversation context into the CRM so the salesperson receives a ready conversation.",[278,279,17,280],"cross-industry","technology","banking",[20,282],"marketing",[24,22,284,23],"classification-and-routing",8,[287,288,289,290,291,292,293,294],"8x8","Bob Rohrman Kia","CarMax","Demandbase","Rocket Mortgage","SUSE","Unisys","Walter's Automotive Group",{"kpi":296,"label":297,"unit":298,"n":66,"nUpTo":244,"kind":299,"value":300,"qualifier":230,"claimant":232,"organization":214,"vendorReported":201},"conversion-rate-uplift","Conversion uplift","percent","median",19,"2026-09-27",{"slug":175,"title":303,"shortTitle":304,"definition":305,"status":9,"industries":306,"functions":312,"patterns":313,"audience":27,"autonomy":28,"adoptionStage":315,"segment":316,"evidenceCount":317,"publicEvidenceCount":318,"organizations":319,"bestGrade":412,"headline":413,"lastVerified":301,"indexable":201},"AI agent for first line contact center service","First line contact center","An AI first line contact center agent answers inbound customer contact on phone, chat and messaging, resolving general and routine questions end to end in the customer's own language. It routes everything complex, sensitive or regulated to the right human team, with the context attached.",[278,280,307,308,309,310,311],"payments","telecommunications","travel-and-hospitality","retail-and-ecommerce","wealth-and-asset-management",[19],[24,22,314,284],"rag-knowledge-assistant","mainstream","front-office",102,95,[320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411],"ABN AMRO","Air Canada","Air India","Airbnb","Groupe Al Omrane","Alizz Islamic Bank","Aman Bank","Amen Bank","AOK PLUS","Arab Bank","Asiacell","AtlantaSanad Assurance","Attijariwafa bank","Bank ABC","Bank of America","Banque Misr","Batelco","BBVA México","BLS AG","Bank of the Philippine Islands","BT Group","bunq","China Unicom Sichuan","Commercial International Bank (CIB)","Commonwealth Bank of Australia","DATEV eG","Deutsche Telekom","Dubai Land Department (DLD)","DNB","Deutsche Rentenversicherung Hessen","Dukhan Bank","Emirates NBD","E.ON Next","Equity Bank Kenya","Essent","Etihad Airways","Etisalat Misr","Finnair","Garanti BBVA","Ingka Group","JetBlue","Jordan Ahli Bank","Jordan Kuwait Bank","KBC","Kenya Power","Khaleeji Bank","Klarna","Kotak Mahindra Bank","KPN","Lascana","Lufthansa Group","Magyar Telekom","Mashreq","Mobily","MONETA Money Bank","Movistar Plus+","Münchener Verein Versicherungsgruppe","NatWest Group","National Bank of Bahrain","New Look","Nordea","Norwegian Air Shuttle","Ooredoo Oman","Ooredoo Qatar","OTE Group","Pegasus Airlines","Poste Italiane","Qatar Airways","Qatar Islamic Bank","Royal Air Maroc","Roads and Transport Authority, Dubai (RTA)","Ryanair","Salzburg AG","Bausparkasse Schwäbisch Hall AG","Swiss Life Germany","Swisscom","Telkomsel","Together Credit Union","Trainline","Trust Bank","Ministry of Finance (United Arab Emirates)","Uelzener Versicherungs-Gruppe","Umniah","UmweltBank AG","University Hospitals Sussex NHS Foundation Trust","Vietcombank","Vodacom","Vodafone Germany","Vodafone","Württembergische Versicherung AG","Zain Jordan","Zenith Bank","A",{"kpi":44,"label":414,"unit":298,"n":300,"nUpTo":248,"kind":299,"value":415,"qualifier":230,"claimant":214,"organization":214,"vendorReported":187},"Containment rate",55,{"slug":417,"title":418,"shortTitle":419,"definition":420,"status":9,"industries":421,"functions":423,"patterns":424,"audience":27,"autonomy":28,"adoptionStage":29,"evidenceCount":425,"publicEvidenceCount":425,"organizations":426,"bestGrade":442,"headline":443,"lastVerified":301,"indexable":201},"apartment-leasing-and-resident-service-agent","AI agent for apartment leasing inquiries and resident service","Leasing and resident service agent","An AI leasing and resident service agent 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.",[422],"real-estate",[19,20,262],[24,22,23,314],15,[427,428,429,430,431,432,433,434,435,436,437,438,439,440,441],"Aldar Properties","Asset Living","AvalonBay Communities","Avenue5 Residential","CAF Management","Equity Residential","GESOBAU AG","GoldOller","Landmark Properties","Lantower Residential","Olympus Property","Oxford Companies","RPM Living","SRG Residential","WinnCompanies","B",{"kpi":44,"label":414,"unit":298,"n":248,"nUpTo":244,"kind":444,"value":445,"qualifier":230,"claimant":232,"organization":433,"vendorReported":201},"reported",66,{"indexable":201,"reasons":447},[],[449,453,458,466,473,480,486,493,501,508,514,520,526,533,540,547,552,558,564,570,577,582,587,594,599,606,611,617,623,628,636,641,647,654,659,665,670,676],{"id":145,"label":450,"issuer":150,"region":151,"url":152,"description":451,"useCases":452,"indexable":201},"EU AI Act","Regulation (EU) 2024\u002F1689: risk based rules for AI systems, with obligations for high risk systems listed in Annex III and transparency duties under Article 50.",306,{"id":146,"label":454,"issuer":150,"region":151,"url":455,"description":456,"useCases":457,"indexable":201},"GDPR","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2016\u002F679\u002Foj","General Data Protection Regulation, including Article 22 on decisions based solely on automated processing.",276,{"id":459,"label":460,"issuer":461,"region":462,"url":463,"description":464,"useCases":465,"indexable":201},"iso-42001","ISO\u002FIEC 42001","ISO and IEC","global","https:\u002F\u002Fwww.iso.org\u002Fstandard\u002F81230.html","The international management system standard for AI.",150,{"id":467,"label":468,"issuer":469,"region":189,"url":470,"description":471,"useCases":472,"indexable":201},"nist-ai-rmf","NIST AI Risk Management Framework","NIST","https:\u002F\u002Fwww.nist.gov\u002Fitl\u002Fai-risk-management-framework","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",115,{"id":474,"label":475,"issuer":476,"region":151,"url":477,"description":478,"useCases":479,"indexable":201},"uk-gdpr","UK GDPR","Information Commissioner's Office","https:\u002F\u002Fico.org.uk\u002Ffor-organisations\u002Fuk-gdpr-guidance-and-resources\u002F","The UK's version of the GDPR, including rules on solely automated decisions.",86,{"id":481,"label":482,"issuer":150,"region":151,"url":483,"description":484,"useCases":485,"indexable":201},"dora","DORA","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2022\u002F2554\u002Foj","Digital Operational Resilience Act for financial entities: ICT risk, incident reporting and third party risk, including AI providers.",73,{"id":487,"label":488,"issuer":489,"region":151,"url":490,"description":491,"useCases":492,"indexable":201},"uk-consumer-duty","FCA Consumer Duty","Financial Conduct Authority","https:\u002F\u002Fwww.fca.org.uk\u002Ffirms\u002Fconsumer-duty","UK rules that require firms to deliver good outcomes for retail customers, including through automated channels.",53,{"id":494,"label":495,"issuer":496,"region":497,"url":498,"description":499,"useCases":500,"indexable":201},"mas-ai-risk-management","MAS AI risk management guidelines","Monetary Authority of Singapore","asia-pacific","https:\u002F\u002Fwww.mas.gov.sg\u002Fnews\u002Fmedia-releases\u002F2025\u002Fmas-guidelines-for-artificial-intelligence-risk-management","Singapore's supervisory expectations for AI risk management at financial institutions, building on the FEAT principles.",37,{"id":502,"label":503,"issuer":504,"region":497,"url":505,"description":506,"useCases":507,"indexable":201},"apra-cps-230","APRA CPS 230","Australian Prudential Regulation Authority","https:\u002F\u002Fwww.apra.gov.au\u002Foperational-risk-management","Australian operational risk standard covering critical operations and material service providers.",26,{"id":509,"label":510,"issuer":150,"region":151,"url":511,"description":512,"useCases":513,"indexable":201},"nis2","NIS2 Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2022\u002F2555\u002Foj","Directive (EU) 2022\u002F2555 on cybersecurity for essential and important entities, including telecom networks, energy and public administration.",23,{"id":515,"label":516,"issuer":517,"region":462,"url":518,"description":519,"useCases":513,"indexable":201},"pci-dss","PCI DSS","PCI Security Standards Council","https:\u002F\u002Fwww.pcisecuritystandards.org\u002F","Security standard for any system that stores, processes or transmits cardholder data.",{"id":521,"label":522,"issuer":523,"region":189,"url":524,"description":525,"useCases":513,"indexable":201},"us-sr-11-7","SR 11-7 model risk management","Federal Reserve and OCC","https:\u002F\u002Fwww.federalreserve.gov\u002Fboarddocs\u002Fsrletters\u002F2011\u002Fsr1107.htm","US supervisory guidance on model risk management, applied by banks to AI and machine learning models.",{"id":527,"label":528,"issuer":529,"region":189,"url":530,"description":531,"useCases":532,"indexable":201},"hipaa","HIPAA","US Department of Health and Human Services","https:\u002F\u002Fwww.hhs.gov\u002Fhipaa\u002Findex.html","US rules for the privacy and security of protected health information.",21,{"id":534,"label":535,"issuer":536,"region":151,"url":537,"description":538,"useCases":539,"indexable":201},"uk-atrs","UK Algorithmic Transparency Recording Standard","UK Government","https:\u002F\u002Fwww.gov.uk\u002Fgovernment\u002Fcollections\u002Falgorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",18,{"id":541,"label":542,"issuer":543,"region":189,"url":544,"description":545,"useCases":546,"indexable":201},"us-tcpa","Telephone Consumer Protection Act","Federal Communications Commission","https:\u002F\u002Fwww.fcc.gov\u002Fconsumers\u002Fguides\u002Fstop-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.",17,{"id":548,"label":549,"issuer":150,"region":151,"url":550,"description":551,"useCases":425,"indexable":201},"eu-accessibility-act","European Accessibility Act","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2019\u002F882\u002Foj","Directive (EU) 2019\u002F882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",{"id":553,"label":554,"issuer":555,"region":462,"url":556,"description":557,"useCases":425,"indexable":201},"fatf-recommendations","FATF Recommendations","Financial Action Task Force","https:\u002F\u002Fwww.fatf-gafi.org\u002Fen\u002Fpublications\u002FFatfrecommendations\u002FFatf-recommendations.html","Global standards for anti money laundering and counter terrorist financing that national rules implement.",{"id":559,"label":560,"issuer":150,"region":151,"url":561,"description":562,"useCases":563,"indexable":201},"eu-amlr","EU Anti Money Laundering Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1624\u002Foj","Regulation (EU) 2024\u002F1624: the single EU rulebook for customer due diligence, beneficial ownership and suspicious transaction reporting.",14,{"id":565,"label":566,"issuer":567,"region":462,"url":568,"description":569,"useCases":563,"indexable":201},"telecom-consumer-rules","Telecom consumer protection rules","National telecom regulators","https:\u002F\u002Fwww.berec.europa.eu\u002F","National rules on telecom contracts, switching, billing disputes and marketing consent.",{"id":571,"label":572,"issuer":573,"region":189,"url":574,"description":575,"useCases":576,"indexable":201},"us-bsa","Bank Secrecy Act","FinCEN","https:\u002F\u002Fwww.fincen.gov\u002Fresources\u002Fstatutes-and-regulations\u002Fbank-secrecy-act","US anti money laundering law: customer due diligence, suspicious activity reports and record keeping.",13,{"id":578,"label":579,"issuer":150,"region":151,"url":580,"description":581,"useCases":576,"indexable":201},"eu-psd2","PSD2","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2015\u002F2366\u002Foj","Payment Services Directive 2: strong customer authentication, transaction risk analysis exemptions and open banking access.",{"id":583,"label":584,"issuer":150,"region":151,"url":585,"description":586,"useCases":576,"indexable":201},"solvency-ii","Solvency II","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2009\u002F138\u002Foj","Directive 2009\u002F138\u002FEC: risk based capital, governance and model requirements for insurers.",{"id":588,"label":589,"issuer":590,"region":189,"url":591,"description":592,"useCases":593,"indexable":201},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","https:\u002F\u002Fwww.consumerfinance.gov\u002Frules-policy\u002Fregulations\u002F1002\u002F9\u002F","US fair lending rules, including specific reasons in adverse action notices, which also apply when credit decisions use AI models.",12,{"id":595,"label":596,"issuer":150,"region":151,"url":597,"description":598,"useCases":593,"indexable":201},"eecc","European Electronic Communications Code","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2018\u002F1972\u002Foj","Directive (EU) 2018\u002F1972: consumer protection, contract, switching and security rules for telecom operators.",{"id":600,"label":601,"issuer":602,"region":151,"url":603,"description":604,"useCases":605,"indexable":201},"eba-loan-origination","EBA Guidelines on loan origination and monitoring","European Banking Authority","https:\u002F\u002Fwww.eba.europa.eu\u002Fregulation-and-policy\u002Fcredit-risk\u002Fguidelines-on-loan-origination-and-monitoring","Expectations for credit decisioning, including the use of automated models.",11,{"id":607,"label":608,"issuer":150,"region":151,"url":609,"description":610,"useCases":605,"indexable":201},"mifid-ii","MiFID II","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2014\u002F65\u002Foj","Directive 2014\u002F65\u002FEU on markets in financial instruments: suitability and appropriateness of advice, record keeping and product governance.",{"id":612,"label":613,"issuer":496,"region":497,"url":614,"description":615,"useCases":616,"indexable":201},"mas-notice-626","MAS Notice 626","https:\u002F\u002Fwww.mas.gov.sg\u002Fregulation\u002Fnotices\u002Fnotice-626","Singapore's anti money laundering and counter terrorism financing requirements for banks.",10,{"id":618,"label":619,"issuer":620,"region":189,"url":621,"description":622,"useCases":285,"indexable":201},"us-fcra","Fair Credit Reporting Act","Federal Trade Commission","https:\u002F\u002Fwww.ftc.gov\u002Flegal-library\u002Fbrowse\u002Fstatutes\u002Ffair-credit-reporting-act","US rules on consumer reports, their accuracy and permissible use, relevant to credit scoring and screening.",{"id":624,"label":625,"issuer":150,"region":151,"url":626,"description":627,"useCases":285,"indexable":201},"eu-idd","Insurance Distribution Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2016\u002F97\u002Foj","Directive (EU) 2016\u002F97: conduct rules for selling insurance, including demands and needs testing and advice.",{"id":629,"label":630,"issuer":631,"region":632,"url":633,"description":634,"useCases":635,"indexable":201},"cbuae-ai-guidance","CBUAE guidance on AI and ML","Central Bank of the UAE","middle-east","https:\u002F\u002Fwww.centralbank.ae\u002F","UAE central bank expectations for the enabling technologies, AI and machine learning used by licensed financial institutions.",6,{"id":637,"label":638,"issuer":150,"region":151,"url":639,"description":640,"useCases":67,"indexable":201},"eu-mortgage-credit-directive","EU Mortgage Credit Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2014\u002F17\u002Foj","Directive 2014\u002F17\u002FEU: creditworthiness assessment, disclosure and advice rules for residential mortgage lending.",{"id":642,"label":643,"issuer":644,"region":151,"url":645,"description":646,"useCases":67,"indexable":201},"uk-psr-app-reimbursement","UK APP scam reimbursement rules","Payment Systems Regulator","https:\u002F\u002Fwww.psr.org.uk\u002Four-work\u002Fapp-scams\u002F","Mandatory reimbursement of authorised push payment scam victims by UK payment firms, which shifts scam losses onto banks.",{"id":648,"label":649,"issuer":650,"region":497,"url":651,"description":652,"useCases":653,"indexable":201},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","https:\u002F\u002Ftreasury.gov.au\u002Fconsultation\u002Fc2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",4,{"id":655,"label":656,"issuer":496,"region":497,"url":657,"description":658,"useCases":653,"indexable":201},"mas-shared-responsibility-framework","MAS Shared Responsibility Framework","https:\u002F\u002Fwww.mas.gov.sg\u002Fregulation\u002Fguidelines\u002Fguidelines-on-shared-responsibility-framework","Singapore's framework that assigns banks and telcos duties and loss sharing for phishing scams.",{"id":660,"label":661,"issuer":662,"region":151,"url":663,"description":664,"useCases":653,"indexable":201},"pra-ss1-23","PRA SS1\u002F23 model risk management","Prudential Regulation Authority","https:\u002F\u002Fwww.bankofengland.co.uk\u002Fprudential-regulation\u002Fpublication\u002F2023\u002Fmay\u002Fmodel-risk-management-principles-for-banks-ss","UK model risk management principles for banks, covering AI and machine learning models.",{"id":666,"label":667,"issuer":150,"region":151,"url":668,"description":669,"useCases":66,"indexable":201},"eu-mar","EU Market Abuse Regulation","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2014\u002F596\u002Foj","Regulation (EU) 596\u002F2014: insider dealing and market manipulation, including the duty to detect and report suspicious orders and transactions.",{"id":671,"label":672,"issuer":673,"region":189,"url":674,"description":675,"useCases":66,"indexable":201},"nyc-local-law-144","NYC Local Law 144","New York City","https:\u002F\u002Fwww.nyc.gov\u002Fsite\u002Fdca\u002Fabout\u002Fautomated-employment-decision-tools.page","Bias audits and notices for automated employment decision tools used in hiring and promotion in New York City.",{"id":677,"label":678,"issuer":679,"region":632,"url":680,"description":681,"useCases":66,"indexable":201},"sdaia-ai-ethics","SDAIA AI ethics principles","Saudi Data and AI Authority","https:\u002F\u002Fsdaia.gov.sa\u002Fen\u002FSDAIA\u002Fabout\u002FDocuments\u002Fai-principles.pdf","Saudi Arabia's national AI ethics principles, applied across sectors including finance and government.",1794496897781]