[{"data":1,"prerenderedAt":718},["ShallowReactive",2],{"uc-publisher-subscriber-service-agent":3,"uc-regulations":483},{"useCase":4,"evidence":173,"blitsAiDeployments":269,"benchmarks":270,"indicative":291,"related":294,"indexability":481,"includeUnpublished":179},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":17,"functions":19,"patterns":21,"channels":25,"audience":29,"autonomy":30,"adoptionStage":31,"problem":32,"problemStats":33,"howItWorks":34,"valueDrivers":35,"kpis":40,"indicativeValue":46,"macroEstimates":86,"feasibility":87,"implementation":99,"risk":131,"blitsAi":151,"faq":153,"related":163,"datePublished":168,"dateModified":168,"lastVerified":168,"changelog":169,"slug":172},"AI agent for newspaper and publisher subscriber service","Publisher subscriber service agent","AI subscriber service agent for publishers","AI agents answer newspaper subscribers on subscriptions, delivery, access and cancellations, or draft email replies for staff. Evidence from three publishers.","published","A publisher subscriber service agent answers readers of a newspaper or magazine on subscriptions, billing, delivery, digital access and cancellations, by chat or by preparing email replies. It can use the subscription and billing systems to look up the reader's account and hands unusual cases to the service team.",[12,13,14,15,16],"newspaper customer service chatbot","reader service agent","subscription support agent for publishers","AI reader help desk","vacation hold and delivery complaint chatbot",[18],"media-and-entertainment",[20],"customer-service",[22,23,24],"conversational-agent","rag-knowledge-assistant","agentic-workflow",[26,27,28],"web-chat","email","agent-desktop","customer-facing","supervised-agent","early-adopters","Publishers sell subscriptions that generate a steady stream of routine contacts: how much does the\ndigital subscription cost, why did the paper not arrive, I cannot log in, I want to change my\naddress, I want to cancel. Delivery failures create spikes. Saarbrücker Zeitung describes long\nwaits on its hotline whenever delivery problems occurred, and Chatbase reports that adding agents\nand restructuring the call center only eased hold times a little.\n\nEach case also repeats the same research: open the account, check status, read the billing\nhistory. Pelcro describes this sequence as the same for nearly every ticket at Les Affaires, which\nmakes response time depend on staffing in busy periods. The way a publisher handles a cancellation\nalso touches retention, so this is a revenue function as well as a cost. Saarbrücker Zeitung says\nthe time its agent frees goes into welcome calls for new subscribers and win back conversations\nwith churned ones.",[],"1. **Answer from subscription knowledge.** The agent answers prices, products, delivery and access\n   questions from the publisher's own help content.\n2. **Look up the reader.** For logged in readers or after verification, it reads the account,\n   subscription status and billing history in the subscription platform.\n3. **Resolve or prepare.** In chat it answers access questions and sends the reader to the right\n   form for a change. Once the subscription system is connected, it can complete simple changes\n   such as an address update itself. On email it drafts the reply with the account facts for a\n   specialist to approve.\n4. **Handle cancellations.** The agent records the request and may show an approved retention offer\n   once, but never blocks or delays the cancellation. A person handles exceptions.\n5. **Hand over.** Complaints, billing disputes and delivery claims go to staff with the conversation\n   and account context attached.",[36,37,38,39],"cost-to-serve","customer-experience","speed","employee-productivity",[41,42,43,44,45],"containment-rate","response-time-reduction","processing-time-reduction","interactions-handled","customer-satisfaction",{"referenceOrg":47,"inputs":48,"formula":81,"currency":82,"period":83,"resultLabel":84,"caveat":85},"A regional newspaper publisher with 100,000 subscribers",[49,54,61,67,74],{"key":50,"label":51,"low":52,"high":52,"unit":50,"note":53},"subscribers","Subscribers",100000,"The reference publisher.",{"key":55,"label":56,"low":57,"high":58,"unit":59,"note":60},"contactsPerSubscriber","Service contacts per subscriber per year",0.3,1,"contacts per subscriber per year","Saarbrücker Zeitung reports thousands of inbound inquiries a month at a circulation of about 70,000, roughly 0.3 to 1 contact per subscriber a year. Replace with your own volume.",{"key":62,"label":63,"low":64,"high":57,"unit":65,"note":66},"automatedShare","Share of all service contacts resolved without staff",0.1,"fraction of contacts","Editorial assumption. Saarbrücker Zeitung's agent handles about 400 conversations a month against thousands of contact center inquiries, and Puzzel's 78.8% for Politiken counts chats only. Replace with your own pilot data.",{"key":68,"label":69,"low":70,"high":71,"unit":72,"note":73},"minutesPerContact","Staff minutes per contact",4,8,"minutes per contact","Editorial assumption, replace with a time study of your service team.",{"key":75,"label":76,"low":77,"high":78,"unit":79,"note":80},"staffCostPerHour","Fully loaded cost of a service staff hour",25,40,"EUR per hour","Editorial assumption, replace with your own cost.","subscribers * contactsPerSubscriber * automatedShare * minutesPerContact \u002F 60 * staffCostPerHour","EUR","per year","Service team time released","Staff time only. It leaves out the effect on cancellations and retention, delivery claim handling, and the cost of the platform and its integration with the subscription system.",[],{"complexity":88,"complexityNote":89,"dataPrerequisites":90,"integrations":94},"medium","Answers about products need only help content. Account lookups and changes need the subscription and billing platform, the delivery system and an identity check, and email drafting needs the helpdesk. Publishers with a managed subscription platform can often add the agent there.",[91,92,93],"Help content for products, prices, delivery and access","Subscription, billing and delivery data per reader","Past tickets with their resolution, to find the top contact reasons",[95,96,97,98],"Subscription management and billing platform","Helpdesk or ticketing for handover and email","Delivery and logistics systems for delivery claims","Identity check for account specific answers",{"steps":100,"guardrails":113,"humanInTheLoop":118,"kpisToInstrument":119,"failureModes":124},[101,104,107,110],{"title":102,"detail":103},"Rank the contact reasons","Count past tickets by reason. At Saarbrücker Zeitung, subscription and pricing questions are by far the most frequent topic, followed by digital access, account issues, contract changes and vacation holds.",{"title":105,"detail":106},"Start with answers, then add lookups","Launch with help content only, then connect the subscription system for logged in readers. Saarbrücker Zeitung went live in about three weeks with a self service widget.",{"title":108,"detail":109},"Keep specialists in the loop on email","Prepare replies with the account facts and let a specialist approve, as Pelcro's specialists do for Les Affaires, and move categories to automatic only after the draft acceptance rate is high.",{"title":111,"detail":112},"Treat cancellations as a retention journey","Design the cancellation flow with the retention and legal teams. Keep cancelling as easy as the law in each market requires, and measure saved subscriptions next to handling time.",[114,115,116,117],"Verify the reader before showing or changing account data","Do not process cancellations, refunds or price changes without the publisher's rules and approval","Tell readers they are talking to an AI assistant and give a route to a person","Answer only from approved help content and account data","Service specialists approve drafted email replies, take every handover, and own the help content and the retention rules.",[120,121,122,123],"Share of contacts resolved without staff, by reason","First response and resolution time, by channel","Cancellations requested and saved after the change","Reader satisfaction on resolved conversations",[125,128],{"title":126,"detail":127},"Delivery failure spikes","A distribution problem produces a wave of identical contacts. Without a live notice the agent gives generic answers; link it to the delivery status or a banner that staff can set.",{"title":129,"detail":130},"Cancellation handled the wrong way","An agent that adds friction to cancelling breaks consumer rules in some markets and draws complaints. One that cancels with no retention step can raise churn. Measure both with a control group.",{"euAiAct":132,"regulations":135,"guidance":138,"controls":145,"incidents":150},{"tier":133,"basis":134},"limited","A customer facing chatbot is subject to the transparency duty in Article 50. It does not decide on access to essential services. An email drafting assistant whose replies a specialist approves does not interact with readers directly, so the disclosure applies to the chat agent.",[136,137],"eu-ai-act","gdpr",[139],{"title":140,"issuer":141,"region":142,"url":143,"note":144},"Article 50, transparency obligations for providers and deployers of certain AI systems","European Union","europe","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F50\u002F","Requires that readers are told when they interact with an AI system.",[146,147,148,149],"Disclose the AI assistant and offer a route to a person","Verify identity before account data is shown and log every account change","Mask personal data in logs and set a retention period for transcripts","Never block or delay a cancellation request; check national consumer rules such as the German online cancellation button (§312k BGB)",[],{"howToBuild":152},"Build the agent on Blits.ai with the knowledge base holding the publisher's help content and\ncustom functions that read subscription, billing and delivery data from the subscription platform\nafter the reader is verified. Deploy it in the website widget, and as a drafting assistant where\nemail is the main channel, on the email channel or through the Zendesk or Freshdesk connector as\nan internal note a specialist approves, with agentic workflows and human in the loop approval for\nchanges such as address updates.\n\nAdd guardrails that keep answers to approved content, PII masking, and human handover into the\nhelpdesk with the conversation attached. Use test suites for the delivery failure and cancellation\njourneys, and analytics to rank contact reasons. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your\nprivate cloud, or fully on premises.",[154,157,160],{"question":155,"answer":156},"What share of subscriber contacts can an AI agent handle?","Puzzel reports that the chat agent at Politiken handles 78.8% of chats without staff. The measure is not defined further and the period is not given, so treat it as a vendor claim. Chatbase and Pelcro publish volumes and speed for Saarbrücker Zeitung and Les Affaires, not a resolution share. At Les Affaires a Pelcro specialist approves every reply.",{"question":158,"answer":159},"Is the agent a chatbot or an email assistant?","Both exist. Politiken runs a chat agent with AI assisted live chat, and Saarbrücker Zeitung a chat widget on its website. Les Affaires uses an agent that prepares replies on the support email address for a Pelcro specialist to approve, as part of a managed service.",{"question":161,"answer":162},"Can it handle cancellations?","It can record them and apply rules, but a retention offer or an exception usually needs a person. Pelcro names autonomous resolution of routine cancellations, renewals and account updates at Les Affaires as a long term goal. Saarbrücker Zeitung's agent sends cancellations to the right form.",[164,165,166,167],"first-line-contact-centre-agent","email-and-ticket-reply-drafting","dynamic-paywall-and-subscription-propensity","publisher-archive-answer-engine","2026-11-11",[170],{"date":168,"note":171},"First published","publisher-subscriber-service-agent",[174,215,242],{"title":175,"useCases":176,"organization":177,"vendors":183,"summary":187,"stage":188,"year":189,"channels":190,"languages":191,"metrics":193,"outcomeDisclosed":206,"sources":207,"verification":210,"grade":212,"id":213,"organizationSlug":214},"Les Affaires: Pelcro AI agent prepares reader support replies for specialists",[172,165],{"name":178,"anonymized":179,"country":180,"region":181,"industry":18,"wikidata":182},"Les Affaires",false,"CA","north-america","Q3230392",[184],{"name":185,"role":186},"Pelcro","platform","Les Affaires, a Québec business publication, has its reader support email handled by Pelcro as a managed service, and since November 2025 Pelcro's AI Customer Service Agent works on those tickets. The agent opens the reader's account, checks subscription status and billing history, and drafts the reply before a Pelcro support specialist reviews and sends it, so cancellations, renewals and account updates move faster. Pelcro reports a 97% faster first response and 95% faster resolution over five months, with 1,466 tickets processed and no increase in service cost. Resolution is still by specialists; autonomous resolution is described as a later goal.","production",2025,[27,28],[192],"fr",[194,202],{"kpi":42,"value":195,"unit":196,"qualifier":197,"period":198,"claimant":199,"quote":200,"sourceUrl":201},97,"percent","exact","average per ticket first response time, over five months after the November 2025 deployment","vendor","deployed Pelcro's AI Customer Service Agent and saw first response time improve by 97% and full resolution time improve by 95% over five months.","https:\u002F\u002Fwww.get.pelcro.com\u002Fblog\u002Fles-affaires-ai-customer-service",{"kpi":43,"value":203,"unit":196,"qualifier":197,"period":204,"claimant":199,"quote":205,"sourceUrl":201},95,"average per ticket resolution time, over five months after the November 2025 deployment","Over a five-month period, email support resolution times decreased by 95%, enabling faster responses without increasing costs.",true,[208],{"url":201,"title":209,"publisher":185},"Les Affaires partners with Pelcro to reduce customer support resolution time by 95%",{"level":211,"checkedAt":168},"source-verified","C","les-affaires-pelcro-ai-customer-service-agent",null,{"title":216,"useCases":217,"organization":218,"vendors":222,"summary":225,"stage":188,"year":189,"channels":226,"languages":227,"metrics":229,"outcomeDisclosed":206,"sources":237,"verification":240,"grade":212,"id":241,"organizationSlug":214},"Saarbrücker Zeitung: Paula answers subscriber questions around the clock",[172],{"name":219,"anonymized":179,"country":220,"region":142,"industry":18,"wikidata":221},"Saarbrücker Zeitung Medienhaus","DE","Q2209153",[223],{"name":224,"role":186},"Chatbase","Saarbrücker Zeitung Medienhaus, a German regional newspaper publisher, runs Paula, a Chatbase agent embedded on its website, for subscription and pricing questions, digital product support and login and account issues. For contract changes, cancellations and delivery pauses it does not act itself: it sends readers to the right website or form. It went live in July 2025, about three weeks after setup started, following long hotline waits during delivery failures. Chatbase reports nearly 3,800 conversations since launch, about 400 a month, and publishes no containment or satisfaction figure.",[26],[228],"de",[230],{"kpi":44,"value":231,"unit":232,"qualifier":233,"period":234,"claimant":199,"quote":235,"sourceUrl":236},3800,"count","approximately","since the July 2025 launch, up to the undated case page","Since launching in July 2025, Paula has handled nearly 3,800 conversations and over 18,000 individual messages.","https:\u002F\u002Fwww.chatbase.co\u002Fcustomers\u002Fsaarbruecker-zeitung",[238],{"url":236,"title":239,"publisher":224},"Saarbrücker Zeitung, customer story",{"level":211,"checkedAt":168},"saarbruecker-zeitung-chatbase-paula",{"title":243,"useCases":244,"organization":246,"vendors":250,"summary":253,"stage":188,"year":254,"channels":255,"languages":256,"metrics":258,"outcomeDisclosed":206,"sources":264,"verification":267,"grade":212,"id":268,"organizationSlug":214},"Politiken: AI chat agent and AI assisted live chat for reader service",[172,245],"live-agent-assist",{"name":247,"anonymized":179,"country":248,"region":142,"industry":18,"wikidata":249},"Politiken","DK","Q373133",[251],{"name":252,"role":186},"Puzzel","Politiken, a Danish newspaper, uses an AI chat agent and live chat from SupWiz, since acquired by Puzzel, in its support channels. The chat agent handles simple requests without a human, and in live chat the AI suggests answers to agents and translates in real time. Puzzel reports 78.8% chatbot automation, without defining it.",2024,[26,28],[257],"da",[259],{"kpi":41,"value":260,"unit":196,"qualifier":197,"period":261,"claimant":199,"quote":262,"sourceUrl":263},78.8,"chatbot automation, period not stated","As a result, Politiken now experiences 78.8% chatbot automation, allowing agents to focus on more complex cases.","https:\u002F\u002Fwww.puzzel.com\u002Fcustomers\u002Fpolitiken",[265],{"url":263,"title":266,"publisher":252},"Politiken | Customer Success Story",{"level":211,"checkedAt":168},"politiken-puzzel-subscriber-chat-agent",0,[271,276,281,286],{"kpi":41,"label":272,"unit":196,"aggregate":206,"higherIsBetter":206,"n":58,"nUpTo":269,"median":260,"min":260,"max":260,"byClaimant":273,"vendorOnly":206,"points":274},"Containment rate",{"organization":269,"vendor":58,"regulator":269,"independent":269},[275],{"evidenceId":268,"organization":247,"value":260,"qualifier":197,"claimant":199,"grade":212,"pooled":206},{"kpi":43,"label":277,"unit":196,"aggregate":206,"higherIsBetter":206,"n":58,"nUpTo":269,"median":203,"min":203,"max":203,"byClaimant":278,"vendorOnly":206,"points":279},"Cycle time reduction",{"organization":269,"vendor":58,"regulator":269,"independent":269},[280],{"evidenceId":213,"organization":178,"value":203,"qualifier":197,"claimant":199,"grade":212,"pooled":206},{"kpi":44,"label":282,"unit":232,"aggregate":179,"higherIsBetter":206,"n":58,"nUpTo":269,"median":231,"min":231,"max":231,"byClaimant":283,"vendorOnly":206,"points":284},"Interactions handled",{"organization":269,"vendor":58,"regulator":269,"independent":269},[285],{"evidenceId":241,"organization":219,"value":231,"qualifier":233,"claimant":199,"grade":212,"pooled":206},{"kpi":42,"label":287,"unit":196,"aggregate":206,"higherIsBetter":206,"n":58,"nUpTo":269,"median":195,"min":195,"max":195,"byClaimant":288,"vendorOnly":206,"points":289},"Response time reduction",{"organization":269,"vendor":58,"regulator":269,"independent":269},[290],{"evidenceId":213,"organization":178,"value":195,"qualifier":197,"claimant":199,"grade":212,"pooled":206},{"low":292,"high":293},5000,160000,[295,413,442,467],{"slug":164,"title":296,"shortTitle":297,"definition":298,"status":9,"industries":299,"functions":307,"patterns":308,"audience":29,"autonomy":30,"adoptionStage":311,"segment":312,"evidenceCount":313,"publicEvidenceCount":203,"organizations":314,"bestGrade":407,"headline":408,"lastVerified":412,"indexable":206},"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.",[300,301,302,303,304,305,306],"cross-industry","banking","payments","telecommunications","travel-and-hospitality","retail-and-ecommerce","wealth-and-asset-management",[20],[22,309,23,310],"voice-agent","classification-and-routing","mainstream","front-office",102,[315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406],"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":41,"label":272,"unit":196,"n":409,"nUpTo":58,"kind":410,"value":411,"qualifier":197,"claimant":214,"organization":214,"vendorReported":179},19,"median",55,"2026-09-27",{"slug":165,"title":414,"shortTitle":415,"definition":416,"status":9,"industries":417,"functions":420,"patterns":422,"audience":425,"autonomy":426,"adoptionStage":311,"evidenceCount":427,"publicEvidenceCount":427,"organizations":428,"bestGrade":438,"headline":439,"lastVerified":412,"indexable":206},"AI reply drafting for customer email and support tickets","Email and ticket reply drafting","AI reply drafting for customer email and support tickets is a copilot that drafts the reply to an incoming email, message or ticket once it reaches a service agent. It summarizes the request, pulls the relevant customer data and approved knowledge, and drafts the reply in the organization's tone and the customer's language for the agent to check, edit and send. Live calls and chats, and the sorting of the inbox itself, are separate use cases.",[300,418,301,303,419],"government","technology",[20,421],"operations",[423,424,23,310],"content-generation","summarization","employee-facing","copilot",10,[429,430,431,432,433,178,434,435,436,437],"Centers for Disease Control and Prevention","Deutsche Kreditbank AG (DKB)","First National Bank","HYPE","LCL","L'Oréal","Nomad eSIM","Transportation Security Administration","Turing","B",{"kpi":43,"label":277,"unit":196,"n":440,"nUpTo":269,"kind":410,"value":441,"qualifier":197,"claimant":199,"organization":214,"vendorReported":206},3,50,{"slug":166,"title":443,"shortTitle":444,"definition":445,"status":9,"industries":446,"functions":447,"patterns":451,"audience":29,"autonomy":454,"adoptionStage":31,"evidenceCount":70,"publicEvidenceCount":70,"organizations":455,"bestGrade":438,"headline":460,"lastVerified":466,"indexable":206},"AI dynamic paywall and subscription propensity scoring","Dynamic paywall","An AI dynamic paywall scores how likely each reader is to subscribe and uses the score to choose whether to show a paywall, which offer and which message. News publishers use it to grow subscriptions while keeping the advertising revenue of readers who are unlikely to pay, where a classic paywall applies one fixed rule to everyone.",[18],[448,449,450],"marketing","sales","analytics-and-reporting",[452,453],"prediction-and-scoring","recommendation-and-personalization","autonomous",[456,457,458,459],"Financial Times","Neue Zürcher Zeitung","Reuters","The Wall Street Journal",{"kpi":461,"label":462,"unit":196,"n":58,"nUpTo":269,"kind":463,"value":464,"qualifier":197,"claimant":465,"organization":456,"vendorReported":179},"conversion-rate-uplift","Conversion uplift","reported",92,"organization","2026-10-13",{"slug":167,"title":468,"shortTitle":469,"definition":470,"status":9,"industries":471,"functions":472,"patterns":473,"audience":29,"autonomy":454,"adoptionStage":31,"evidenceCount":71,"publicEvidenceCount":71,"organizations":474,"bestGrade":438,"headline":214,"lastVerified":412,"indexable":206},"AI answer engine for readers built on a publisher's own journalism","Publisher archive answer engine","A publisher archive answer engine is a generative AI search and answer tool on a publisher's site or app that answers readers' questions from its own journalism. It answers only from that publisher's published journalism and archive, cites the articles it used, and declines to answer when its own reporting does not cover the question.",[18],[20],[23,22,424],[475,456,476,477,478,479,480],"Aftonbladet","Forbes","Foundry","Rappler","TIME","The Washington Post",{"indexable":206,"reasons":482},[],[484,489,494,502,509,516,522,529,537,544,550,556,562,569,576,583,589,595,601,607,614,619,624,631,636,643,648,653,659,664,672,678,684,690,695,701,706,712],{"id":136,"label":485,"issuer":141,"region":142,"url":486,"description":487,"useCases":488,"indexable":206},"EU AI Act","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Freg\u002F2024\u002F1689\u002Foj","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":137,"label":490,"issuer":141,"region":142,"url":491,"description":492,"useCases":493,"indexable":206},"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":495,"label":496,"issuer":497,"region":498,"url":499,"description":500,"useCases":501,"indexable":206},"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":503,"label":504,"issuer":505,"region":181,"url":506,"description":507,"useCases":508,"indexable":206},"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":510,"label":511,"issuer":512,"region":142,"url":513,"description":514,"useCases":515,"indexable":206},"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":517,"label":518,"issuer":141,"region":142,"url":519,"description":520,"useCases":521,"indexable":206},"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":523,"label":524,"issuer":525,"region":142,"url":526,"description":527,"useCases":528,"indexable":206},"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":530,"label":531,"issuer":532,"region":533,"url":534,"description":535,"useCases":536,"indexable":206},"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":538,"label":539,"issuer":540,"region":533,"url":541,"description":542,"useCases":543,"indexable":206},"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":545,"label":546,"issuer":141,"region":142,"url":547,"description":548,"useCases":549,"indexable":206},"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":551,"label":552,"issuer":553,"region":498,"url":554,"description":555,"useCases":549,"indexable":206},"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":557,"label":558,"issuer":559,"region":181,"url":560,"description":561,"useCases":549,"indexable":206},"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":563,"label":564,"issuer":565,"region":181,"url":566,"description":567,"useCases":568,"indexable":206},"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":570,"label":571,"issuer":572,"region":142,"url":573,"description":574,"useCases":575,"indexable":206},"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":577,"label":578,"issuer":579,"region":181,"url":580,"description":581,"useCases":582,"indexable":206},"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":584,"label":585,"issuer":141,"region":142,"url":586,"description":587,"useCases":588,"indexable":206},"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.",15,{"id":590,"label":591,"issuer":592,"region":498,"url":593,"description":594,"useCases":588,"indexable":206},"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":596,"label":597,"issuer":141,"region":142,"url":598,"description":599,"useCases":600,"indexable":206},"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":602,"label":603,"issuer":604,"region":498,"url":605,"description":606,"useCases":600,"indexable":206},"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":608,"label":609,"issuer":610,"region":181,"url":611,"description":612,"useCases":613,"indexable":206},"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":615,"label":616,"issuer":141,"region":142,"url":617,"description":618,"useCases":613,"indexable":206},"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":620,"label":621,"issuer":141,"region":142,"url":622,"description":623,"useCases":613,"indexable":206},"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":625,"label":626,"issuer":627,"region":181,"url":628,"description":629,"useCases":630,"indexable":206},"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":632,"label":633,"issuer":141,"region":142,"url":634,"description":635,"useCases":630,"indexable":206},"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":637,"label":638,"issuer":639,"region":142,"url":640,"description":641,"useCases":642,"indexable":206},"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":644,"label":645,"issuer":141,"region":142,"url":646,"description":647,"useCases":642,"indexable":206},"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":649,"label":650,"issuer":532,"region":533,"url":651,"description":652,"useCases":427,"indexable":206},"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.",{"id":654,"label":655,"issuer":656,"region":181,"url":657,"description":658,"useCases":71,"indexable":206},"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":660,"label":661,"issuer":141,"region":142,"url":662,"description":663,"useCases":71,"indexable":206},"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":665,"label":666,"issuer":667,"region":668,"url":669,"description":670,"useCases":671,"indexable":206},"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":673,"label":674,"issuer":141,"region":142,"url":675,"description":676,"useCases":677,"indexable":206},"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.",5,{"id":679,"label":680,"issuer":681,"region":142,"url":682,"description":683,"useCases":677,"indexable":206},"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":685,"label":686,"issuer":687,"region":533,"url":688,"description":689,"useCases":70,"indexable":206},"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.",{"id":691,"label":692,"issuer":532,"region":533,"url":693,"description":694,"useCases":70,"indexable":206},"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":696,"label":697,"issuer":698,"region":142,"url":699,"description":700,"useCases":70,"indexable":206},"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":702,"label":703,"issuer":141,"region":142,"url":704,"description":705,"useCases":440,"indexable":206},"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":707,"label":708,"issuer":709,"region":181,"url":710,"description":711,"useCases":440,"indexable":206},"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":713,"label":714,"issuer":715,"region":668,"url":716,"description":717,"useCases":440,"indexable":206},"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.",1794496883673]