[{"data":1,"prerenderedAt":747},["ShallowReactive",2],{"uc-fan-and-ticketing-service-agent-for-sports-clubs":3,"uc-regulations":511},{"useCase":4,"evidence":169,"blitsAiDeployments":291,"benchmarks":292,"indicative":311,"related":314,"indexability":509,"includeUnpublished":175},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":17,"functions":19,"patterns":22,"channels":25,"audience":28,"autonomy":29,"adoptionStage":30,"problem":31,"problemStats":32,"howItWorks":33,"valueDrivers":34,"kpis":39,"indicativeValue":45,"macroEstimates":81,"feasibility":82,"implementation":94,"risk":126,"blitsAi":146,"faq":148,"related":158,"datePublished":164,"dateModified":164,"lastVerified":164,"changelog":165,"slug":168},"AI agent for fan and ticketing service at sports clubs","Fan and ticketing service agent","AI fan service agent for sports clubs","AI agents answer fans on tickets, membership, shop and match day questions. 1. FC Köln, FC Schalke 04, Tottenham Hotspur and the Winnipeg Blue Bombers run one.","published","A fan and ticketing service agent answers supporters of a sports club on its website and app: ticket phases, memberships, the fan shop, stadium access, parking and match day logistics. It resolves routine questions from the club's own content and hands ticketing cases, complaints and anything it cannot answer to the service team.",[12,13,14,15,16],"AI fan assistant","football club chatbot","fan service chatbot","ticketing chatbot for sports clubs","match day assistant",[18],"media-and-entertainment",[20,21],"customer-service","sales",[23,24],"conversational-agent","rag-knowledge-assistant",[26,27],"web-chat","mobile-app","customer-facing","supervised-agent","early-adopters","A club's service team faces peaks that follow the fixture list. Ticket phases open, a kit is\nreleased, a match day brings parking, gate and drink price questions, and the volume arrives in hours\nwhile most questions repeat. The same inbox also holds the conversations that make money: season\nticket inquiries, renewals and membership sign ups.\n\nClubs also answer in more than one language and outside office hours, because fans follow them\nfrom other countries and write on match days and weekends. The Winnipeg Blue Bombers describe reps tied up on\nparking and drink price questions with less time for the fans asking about season tickets, and\nInstagram and Facebook messages that were not answered at all.",[],"1. **Ground the agent in club content.** It reads the website, the membership and ticketing rules,\n   the stadium guide and the shop catalog, so answers match what the club publishes.\n2. **Answer on the fan's channel.** The agent runs in the website widget and the club app, in\n   the club's tone of voice. 1. FC Köln hands complex matters to human service or its WhatsApp channel.\n3. **Guide to the next step.** It links to the ticket shop, the right membership page or the shop,\n   and runs scripted journeys for renewals and sign ups.\n4. **Hand over.** Ticket disputes, refunds, accessibility needs and anything the agent cannot\n   answer go to the service team with the conversation attached.\n5. **Learn from the questions.** Unanswered and repeated questions show gaps on the website and in\n   the ticketing flow, and the club fixes those pages too. FC Schalke 04 found and closed self service\n   gaps this way.",[35,36,37,38],"cost-to-serve","customer-experience","revenue-growth","speed",[40,41,42,43,44],"containment-rate","contact-deflection","customer-satisfaction","interactions-handled","first-contact-resolution",{"referenceOrg":46,"inputs":47,"formula":76,"currency":77,"period":78,"resultLabel":79,"caveat":80},"A football club with 200,000 members and a busy ticketing and shop service",[48,55,62,69],{"key":49,"label":50,"low":51,"high":52,"unit":53,"note":54},"contacts","Fan contacts per year across email, chat and phone",150000,300000,"contacts per year","Editorial assumption, replace with your own contact volume.",{"key":56,"label":57,"low":58,"high":59,"unit":60,"note":61},"automatedShare","Share of contacts resolved without staff",0.2,0.4,"fraction of contacts","Low is the 20% of Ask Spurs interactions resolved by the agent alone. High is the 40% drop in service center calls that LoyJoy reports for 1. FC Köln, the lower of its two channel figures. Chatbot containment shares (70% at the Winnipeg Blue Bombers, more than 90% at FC Schalke 04) count chatbot conversations only, not all contacts. Replace with your own pilot data.",{"key":63,"label":64,"low":65,"high":66,"unit":67,"note":68},"minutesPerContact","Staff minutes per contact",3,6,"minutes per contact","Editorial assumption, replace with a time study of your service team.",{"key":70,"label":71,"low":72,"high":73,"unit":74,"note":75},"staffCostPerHour","Fully loaded cost of a service staff hour",25,40,"EUR per hour","Editorial assumption, replace with your own cost.","contacts * automatedShare * minutesPerContact \u002F 60 * staffCostPerHour","EUR","per year","Service team time released","Staff time only. It treats every resolved chat as a contact staff would otherwise have handled, although off season chats may partly be new demand. It leaves out the revenue from fans who buy a ticket or membership after a conversation, the cost of the platform and of keeping content current, and the match day peak, where the saving is capacity at the moment it is scarce rather than an average.",[],{"complexity":83,"complexityNote":84,"dataPrerequisites":85,"integrations":89},"medium","A question and answer agent over the club's public content needs the website, the shop and ticket pages and a handover route. Logged in answers such as order or membership status need the ticketing and CRM systems. 1. FC Köln, FC Schalke 04 and the Winnipeg Blue Bombers answer mainly from public content, while Tottenham Hotspur built Ask Spurs on 4.6 million unified fan accounts so it can answer logged in members.",[86,87,88],"Website, membership, ticketing, stadium and shop content in a form the agent can search","A written split of what the agent answers and what goes to staff","Past service tickets and chats to find the most frequent questions",[90,91,92,93],"Website and club app","Service desk or CRM for handover and case creation","Ticketing and shop systems for logged in answers, optional","WhatsApp or social messaging as a handover route to the service team, optional",{"steps":95,"guardrails":108,"humanInTheLoop":113,"kpisToInstrument":114,"failureModes":119},[96,99,102,105],{"title":97,"detail":98},"Start with the public questions","Take the top 50 questions from past tickets, answer them from published content and measure how many conversations end without staff. Leave account specific answers for a later phase.",{"title":100,"detail":101},"Add fan journeys for renewals and sign ups","Scripted flows for season ticket inquiries, renewals and membership sign ups, as the Winnipeg Blue Bombers built, are easier to control than free text. Send fans who are ready to buy to a person quickly.",{"title":103,"detail":104},"Plan for match days and releases","Test the agent with the volume of a ticket phase opening or a kit release, with fresh content for the fixture, and decide who watches the conversations live on the day.",{"title":106,"detail":107},"Close content gaps weekly","Review unanswered questions each week and fix the website page or the knowledge base, so the number of repeat questions falls.",[109,110,111,112],"Answer only from club content and say when it does not cover a question","Hand ticket disputes, refunds, safeguarding and accessibility needs to staff","Tell fans they are talking to an AI assistant from the first message","Never give prices, dates or ticket availability the agent cannot read from a live source","Service staff take every handover with the conversation attached, review a weekly sample of answers and own the content the agent relies on.",[115,116,117,118],"Share of conversations resolved without staff and share handed over, by topic","Customer satisfaction on resolved conversations","Service email and call volume against the fixture calendar","Questions with no answer found, as a content backlog",[120,123],{"title":121,"detail":122},"Wrong match day information","Gate times, parking and kickoff times change. An agent reading stale pages sends fans to the wrong place at the moment it matters. Tie these answers to a maintained source.",{"title":124,"detail":125},"Resolution counted without a definition","Vendors report resolved, automated or engaged shares that mean different things. Define resolution as no return on the same topic within seven days before comparing figures.",{"euAiAct":127,"regulations":130,"guidance":134,"controls":141,"incidents":145},{"tier":128,"basis":129},"limited","A customer facing chatbot is subject to the transparency duty in Article 50: people must be told they are interacting with an AI system. It makes no decision on access to essential services.",[131,132,133],"eu-ai-act","gdpr","uk-gdpr",[135],{"title":136,"issuer":137,"region":138,"url":139,"note":140},"Article 50, transparency obligations for providers and deployers of certain AI systems","European Union","europe","https:\u002F\u002Fartificialintelligenceact.eu\u002Farticle\u002F50\u002F","Requires that people are informed when they interact with an AI system, which applies to a fan chatbot.",[142,143,144],"Disclose the AI assistant and offer a route to a person","Keep fan personal data out of prompts and logs unless the fan is logged in and the purpose is service","Set retention for chat transcripts and honor deletion requests",[],{"howToBuild":147},"Build the agent on Blits.ai over the club's website, membership and ticketing content using the\nknowledge base with hybrid retrieval, so answers come from published pages and rules. Add flows for\nseason ticket renewal and membership sign up, and deploy the agent in the web widget and, through the\nREST or WebSocket API channel, in the club app.\n\nConfigure human handover to the service team, for example through the Salesforce, Freshdesk or Zoho\nSalesIQ integrations, with the conversation attached, guardrails that keep the agent to club content,\nand PII masking at the gateway. Use test suites with match day and\nticket release scenarios before a fixture, and analytics to see unanswered questions. Run Blits.ai in our\ncloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on\npremises.",[149,152,155],{"question":150,"answer":151},"How many fan questions can an AI agent resolve?","Vendor reports in the evidence range from 20% of interactions resolved by the agent alone at Tottenham Hotspur to more than 90% at FC Schalke 04. The shares are defined differently and none is independently audited, so measure your own on a pilot.",{"question":153,"answer":154},"Does a fan agent replace the ticketing team?","No club in the evidence reports that. The Winnipeg Blue Bombers route the remaining 30% of chats to reps, and Tidio describes those as fans ready to buy tickets or with complex questions.",{"question":156,"answer":157},"Which languages does it need?","Clubs with an international fan base need several. Tottenham Hotspur offers Ask Spurs in eleven languages, and botBrains says 8% of messages to the FC Schalke 04 chatbot came from outside Germany.",[159,160,161,162,163],"first-line-contact-centre-agent","publisher-subscriber-service-agent","ev-charging-driver-support-agent","airport-passenger-assistant","public-transit-passenger-information-agent","2026-11-11",[166],{"date":164,"note":167},"First published","fan-and-ticketing-service-agent-for-sports-clubs",[170,210,240,266],{"title":171,"useCases":172,"organization":173,"vendors":178,"summary":182,"stage":183,"year":184,"channels":185,"languages":186,"metrics":188,"outcomeDisclosed":200,"sources":201,"verification":205,"grade":207,"id":208,"organizationSlug":209},"1. FC Köln: AI agent Hennes answers fan questions on fc.de and in the app",[168],{"name":174,"anonymized":175,"country":176,"region":138,"industry":18,"wikidata":177},"1. FC Köln",false,"DE","Q104770",[179],{"name":180,"role":181},"LoyJoy","platform","1. FC Köln, a Bundesliga club, runs the LoyJoy AI agent Hennes as its digital fan service on its website and in its native iPhone and Android app. Hennes covers the fan shop, tickets, events, membership, squad and stadium topics, leads fans to shop and ticket pages, and routes complex matters to human service or WhatsApp. LoyJoy reports a 70% drop in service email volume and a 40% drop in call volume at the service center, without a baseline period or a date range.","production",2026,[26,27],[187],"de",[189,197],{"kpi":41,"value":190,"unit":191,"qualifier":192,"period":193,"claimant":194,"quote":195,"sourceUrl":196},70,"percent","exact","email volume in customer service, no baseline period stated","vendor","70% less email volume in service thanks to case-closing resolution by the AI agent","https:\u002F\u002Fwww.loyjoy.com\u002Fen\u002Fcases\u002F1-fc-koeln-fan-communication-ai\u002F",{"kpi":41,"value":73,"unit":191,"qualifier":192,"period":198,"claimant":194,"quote":199,"sourceUrl":196},"call volume in the service center, no baseline period stated","40% less call volume in the service center",true,[202],{"url":196,"title":203,"publisher":180,"date":204},"1. FC Köln: 24\u002F7 Fan Service with AI Agent Hennes","2026-03-10",{"level":206,"checkedAt":164},"source-verified","C","fc-koeln-loyjoy-hennes-fan-service",null,{"title":211,"useCases":212,"organization":213,"vendors":216,"summary":219,"stage":183,"year":184,"channels":220,"languages":222,"metrics":223,"outcomeDisclosed":200,"sources":234,"verification":238,"grade":207,"id":239,"organizationSlug":209},"FC Schalke 04: ERWIN chatbot answers fan and visitor questions across the club websites",[168],{"name":214,"anonymized":175,"country":176,"region":138,"industry":18,"wikidata":215},"FC Schalke 04","Q32494",[217],{"name":218,"role":181},"botBrains","FC Schalke 04, a German football club with more than 200,000 members, runs the botBrains chatbot ERWIN across its websites, from the VELTINS-Arena pages to the membership area and contact pages. ERWIN answers questions on memberships and events and forwards what it cannot answer to the service team. It is integrated into Salesforce Service Cloud, where it also suggests solutions to staff and fills topic and case fields. botBrains reports that more than 90% of inquiries were resolved directly and a satisfaction score of 90.4%.",[26,221],"agent-desktop",[187],[224,230],{"kpi":40,"value":225,"unit":191,"qualifier":226,"period":227,"claimant":194,"quote":228,"sourceUrl":229},90,"at-least","all inquiries to the chatbot, period not stated","More than 90% of all inquiries were resolved directly through the chatbot.","https:\u002F\u002Fwww.botbrains.io\u002Fen\u002Fblog\u002Fhow-fc-schalke-04-supports-fans-with-ai-chatbot-erwin",{"kpi":42,"value":231,"unit":191,"qualifier":192,"period":232,"claimant":194,"quote":233,"sourceUrl":229},90.4,"chatbot CSAT, period not stated","A CSAT score of 90.4% confirms high fan satisfaction.",[235],{"url":229,"title":236,"publisher":218,"date":237},"How FC Schalke 04 Supports Fans with AI Chatbot ERWIN","2026-01-11",{"level":206,"checkedAt":164},"fc-schalke-04-botbrains-erwin-fan-service",{"title":241,"useCases":242,"organization":243,"vendors":247,"summary":250,"stage":183,"year":184,"channels":251,"languages":252,"metrics":254,"outcomeDisclosed":200,"sources":260,"verification":264,"grade":207,"id":265,"organizationSlug":209},"Tottenham Hotspur: Ask Spurs fan support agent on Agentforce",[168],{"name":244,"anonymized":175,"country":245,"region":138,"industry":18,"wikidata":246},"Tottenham Hotspur","GB","Q18741",[248],{"name":249,"role":181},"Salesforce","Tottenham Hotspur runs Ask Spurs, a multilingual agent built on Salesforce Agentforce for its website and club app, announced by Salesforce on 15 October 2026. It answers questions on ticketing, memberships, retail and stadium events in eleven languages, for logged in members and guest visitors, and hands unresolved conversations to the club's support team. Salesforce reports an 86% engagement rate with 20% of interactions resolved by the agent alone.",[26,27],[253],"en",[255],{"kpi":40,"value":256,"unit":191,"qualifier":192,"period":257,"claimant":194,"quote":258,"sourceUrl":259},20,"share of interactions resolved by the agent alone, period not stated, as of 15 October 2026","Ask Spurs has an 86% engagement rate, with 20% of interactions resolved by Agentforce alone, all grounded in trusted Spurs fan data.","https:\u002F\u002Fwww.salesforce.com\u002Fnews\u002F?p=95891",[261],{"url":259,"title":262,"publisher":249,"date":263},"Tottenham Hotspur Launches Ask Spurs on Agentforce","2026-10-15",{"level":206,"checkedAt":164},"tottenham-hotspur-ask-spurs-agentforce",{"title":267,"useCases":268,"organization":269,"vendors":274,"summary":277,"stage":183,"year":184,"channels":278,"languages":279,"metrics":280,"outcomeDisclosed":200,"sources":285,"verification":289,"grade":207,"id":290,"organizationSlug":209},"Winnipeg Blue Bombers: Lyro AI answers game day and ticketing questions from fans",[168],{"name":270,"anonymized":175,"country":271,"region":272,"industry":18,"wikidata":273},"Winnipeg Blue Bombers","CA","north-america","Q2117549",[275],{"name":276,"role":181},"Tidio","The Winnipeg Blue Bombers, a Canadian Football League club, use Tidio's Lyro AI agent on their website to answer repetitive game day questions such as parking, drink prices and gate entry. Scripted flows guide fans through season ticket inquiries, renewals and membership sign ups. Instagram and Facebook direct messages were connected to Tidio for the first time and go to the club's social media team. Tidio reports that Lyro and the scripted Flows together handle 70% of chatbot inquiries without a human, with the rest routed to the Ticketing and Fan Services team.",[26],[253],[281],{"kpi":40,"value":190,"unit":191,"qualifier":192,"period":282,"claimant":194,"quote":283,"sourceUrl":284},"all chatbot inquiries, Lyro AI and scripted Flows together, period not stated","Tidio now handles 70% of all chatbot inquiries without any human intervention.","https:\u002F\u002Ftidio.com\u002Fcustomers\u002Fblue-bombers",[286],{"url":284,"title":287,"publisher":276,"date":288},"Winnipeg Blue Bombers Automates 70% of Website Fan Inquiries with Lyro AI","2026-05-27",{"level":206,"checkedAt":164},"winnipeg-blue-bombers-tidio-lyro-fan-service",0,[293,300,306],{"kpi":40,"label":294,"unit":191,"aggregate":200,"higherIsBetter":200,"n":65,"nUpTo":291,"median":190,"min":256,"max":225,"byClaimant":295,"vendorOnly":200,"points":296},"Containment rate",{"organization":291,"vendor":65,"regulator":291,"independent":291},[297,298,299],{"evidenceId":239,"organization":214,"value":225,"qualifier":226,"claimant":194,"grade":207,"pooled":200},{"evidenceId":290,"organization":270,"value":190,"qualifier":192,"claimant":194,"grade":207,"pooled":200},{"evidenceId":265,"organization":244,"value":256,"qualifier":192,"claimant":194,"grade":207,"pooled":200},{"kpi":41,"label":301,"unit":191,"aggregate":200,"higherIsBetter":200,"n":302,"nUpTo":291,"median":190,"min":190,"max":190,"byClaimant":303,"vendorOnly":200,"points":304},"Contact deflection",1,{"organization":291,"vendor":302,"regulator":291,"independent":291},[305],{"evidenceId":208,"organization":174,"value":190,"qualifier":192,"claimant":194,"grade":207,"pooled":200},{"kpi":42,"label":307,"unit":191,"aggregate":200,"higherIsBetter":200,"n":302,"nUpTo":291,"median":231,"min":231,"max":231,"byClaimant":308,"vendorOnly":200,"points":309},"Customer satisfaction",{"organization":291,"vendor":302,"regulator":291,"independent":291},[310],{"evidenceId":239,"organization":214,"value":231,"qualifier":192,"claimant":194,"grade":207,"pooled":200},{"low":312,"high":313},37500,480000,[315,434,449,464,489],{"slug":159,"title":316,"shortTitle":317,"definition":318,"status":9,"industries":319,"functions":327,"patterns":328,"audience":28,"autonomy":29,"adoptionStage":331,"segment":332,"evidenceCount":333,"publicEvidenceCount":334,"organizations":335,"bestGrade":428,"headline":429,"lastVerified":433,"indexable":200},"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.",[320,321,322,323,324,325,326],"cross-industry","banking","payments","telecommunications","travel-and-hospitality","retail-and-ecommerce","wealth-and-asset-management",[20],[23,329,24,330],"voice-agent","classification-and-routing","mainstream","front-office",102,95,[336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427],"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":40,"label":294,"unit":191,"n":430,"nUpTo":302,"kind":431,"value":432,"qualifier":192,"claimant":209,"organization":209,"vendorReported":175},19,"median",55,"2026-09-27",{"slug":160,"title":435,"shortTitle":436,"definition":437,"status":9,"industries":438,"functions":439,"patterns":440,"audience":28,"autonomy":29,"adoptionStage":30,"evidenceCount":65,"publicEvidenceCount":65,"organizations":442,"bestGrade":207,"headline":446,"lastVerified":164,"indexable":200},"AI agent for newspaper and publisher subscriber service","Publisher subscriber service agent","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.",[18],[20],[23,24,441],"agentic-workflow",[443,444,445],"Les Affaires","Politiken","Saarbrücker Zeitung Medienhaus",{"kpi":40,"label":294,"unit":191,"n":302,"nUpTo":291,"kind":447,"value":448,"qualifier":192,"claimant":194,"organization":444,"vendorReported":200},"reported",78.8,{"slug":161,"title":450,"shortTitle":451,"definition":452,"status":9,"industries":453,"functions":455,"patterns":457,"audience":28,"autonomy":29,"adoptionStage":30,"evidenceCount":65,"publicEvidenceCount":65,"organizations":458,"bestGrade":207,"headline":462,"lastVerified":164,"indexable":200},"AI agent for EV charging driver support and charger troubleshooting","EV charging driver support","An AI agent for EV charging driver support answers the phone, chat and email contacts of drivers who cannot start or finish a charging session. It identifies the charger and session, checks its status in the charge point management system, runs remote actions such as ending a session, releasing a cable lock or resetting the charger, and hands the case to a person when the fault needs one.",[454],"energy-and-utilities",[20,456],"field-service",[329,23,441],[459,460,461],"Citywatt","EVPassport","swtch",{"kpi":40,"label":294,"unit":191,"n":302,"nUpTo":291,"kind":447,"value":190,"qualifier":463,"claimant":194,"organization":460,"vendorReported":200},"approximately",{"slug":162,"title":465,"shortTitle":466,"definition":467,"status":9,"industries":468,"functions":469,"patterns":471,"audience":28,"autonomy":29,"adoptionStage":30,"evidenceCount":474,"publicEvidenceCount":474,"organizations":475,"bestGrade":485,"headline":486,"lastVerified":488,"indexable":200},"AI assistant for airport passengers on kiosks, holograms and chat","Airport passenger assistant","An airport passenger assistant is AI that answers travelers' questions about flights, gates, shops and services, and gives directions, on kiosks, holograms, apps and messaging in their own language. It answers from live airport data and a map of the terminal, and connects the traveler to a staff member when it cannot help.",[324],[20,470],"operations",[23,24,472,329,473],"digital-human","translation",9,[476,477,478,479,480,481,482,483,484],"Aena","Flughafen Berlin Brandenburg GmbH","Egyptian Holding Company for Airports and Air Navigation","Dallas Fort Worth International Airport","LaGuardia Gateway Partners","Aéroports de Lyon (VINCI Airports)","Massachusetts Port Authority (Massport)","Qatar Company for Airports Operation and Management (MATAR)","Miami International Airport","B",{"kpi":42,"label":307,"unit":191,"n":302,"nUpTo":291,"kind":447,"value":487,"qualifier":192,"claimant":194,"organization":477,"vendorReported":200},85,"2026-10-14",{"slug":163,"title":490,"shortTitle":491,"definition":492,"status":9,"industries":493,"functions":495,"patterns":496,"audience":28,"autonomy":29,"adoptionStage":497,"evidenceCount":66,"publicEvidenceCount":66,"organizations":498,"bestGrade":485,"headline":505,"lastVerified":508,"indexable":200},"AI agent for public transit passenger information and disruption reporting","Transit passenger information agent","A transit passenger information agent is an AI agent on a public transport operator's website, app or messaging channel that answers riders' real time questions about arrivals and delays. It answers from live service data, takes a structured report when something is wrong on board or at a station, and flags urgent or safety related reports for fast human follow up, in the rider's own language.",[494],"logistics-and-transportation",[20,470],[23,330],"emerging",[499,500,501,502,503,504],"Chicago Transit Authority","PT Kereta Api Indonesia (Persero)","NJ Transit","NMBS\u002FSNCB","Schweizerische Bundesbahnen (SBB)","South Central Railway",{"kpi":40,"label":294,"unit":191,"n":302,"nUpTo":291,"kind":447,"value":506,"qualifier":463,"claimant":507,"organization":503,"vendorReported":175},60,"organization","2026-09-28",{"indexable":200,"reasons":510},[],[512,517,522,530,537,543,549,556,564,571,577,583,589,596,603,610,616,622,628,634,641,646,651,658,663,670,675,681,688,693,700,706,712,719,724,730,735,741],{"id":131,"label":513,"issuer":137,"region":138,"url":514,"description":515,"useCases":516,"indexable":200},"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":132,"label":518,"issuer":137,"region":138,"url":519,"description":520,"useCases":521,"indexable":200},"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":523,"label":524,"issuer":525,"region":526,"url":527,"description":528,"useCases":529,"indexable":200},"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":531,"label":532,"issuer":533,"region":272,"url":534,"description":535,"useCases":536,"indexable":200},"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":133,"label":538,"issuer":539,"region":138,"url":540,"description":541,"useCases":542,"indexable":200},"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":544,"label":545,"issuer":137,"region":138,"url":546,"description":547,"useCases":548,"indexable":200},"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":550,"label":551,"issuer":552,"region":138,"url":553,"description":554,"useCases":555,"indexable":200},"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":557,"label":558,"issuer":559,"region":560,"url":561,"description":562,"useCases":563,"indexable":200},"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":565,"label":566,"issuer":567,"region":560,"url":568,"description":569,"useCases":570,"indexable":200},"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":572,"label":573,"issuer":137,"region":138,"url":574,"description":575,"useCases":576,"indexable":200},"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":578,"label":579,"issuer":580,"region":526,"url":581,"description":582,"useCases":576,"indexable":200},"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":584,"label":585,"issuer":586,"region":272,"url":587,"description":588,"useCases":576,"indexable":200},"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":590,"label":591,"issuer":592,"region":272,"url":593,"description":594,"useCases":595,"indexable":200},"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":597,"label":598,"issuer":599,"region":138,"url":600,"description":601,"useCases":602,"indexable":200},"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":604,"label":605,"issuer":606,"region":272,"url":607,"description":608,"useCases":609,"indexable":200},"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":611,"label":612,"issuer":137,"region":138,"url":613,"description":614,"useCases":615,"indexable":200},"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":617,"label":618,"issuer":619,"region":526,"url":620,"description":621,"useCases":615,"indexable":200},"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":623,"label":624,"issuer":137,"region":138,"url":625,"description":626,"useCases":627,"indexable":200},"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":629,"label":630,"issuer":631,"region":526,"url":632,"description":633,"useCases":627,"indexable":200},"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":635,"label":636,"issuer":637,"region":272,"url":638,"description":639,"useCases":640,"indexable":200},"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":642,"label":643,"issuer":137,"region":138,"url":644,"description":645,"useCases":640,"indexable":200},"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":647,"label":648,"issuer":137,"region":138,"url":649,"description":650,"useCases":640,"indexable":200},"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":652,"label":653,"issuer":654,"region":272,"url":655,"description":656,"useCases":657,"indexable":200},"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":659,"label":660,"issuer":137,"region":138,"url":661,"description":662,"useCases":657,"indexable":200},"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":664,"label":665,"issuer":666,"region":138,"url":667,"description":668,"useCases":669,"indexable":200},"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":671,"label":672,"issuer":137,"region":138,"url":673,"description":674,"useCases":669,"indexable":200},"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":676,"label":677,"issuer":559,"region":560,"url":678,"description":679,"useCases":680,"indexable":200},"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":682,"label":683,"issuer":684,"region":272,"url":685,"description":686,"useCases":687,"indexable":200},"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.",8,{"id":689,"label":690,"issuer":137,"region":138,"url":691,"description":692,"useCases":687,"indexable":200},"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":694,"label":695,"issuer":696,"region":697,"url":698,"description":699,"useCases":66,"indexable":200},"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.",{"id":701,"label":702,"issuer":137,"region":138,"url":703,"description":704,"useCases":705,"indexable":200},"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":707,"label":708,"issuer":709,"region":138,"url":710,"description":711,"useCases":705,"indexable":200},"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":713,"label":714,"issuer":715,"region":560,"url":716,"description":717,"useCases":718,"indexable":200},"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":720,"label":721,"issuer":559,"region":560,"url":722,"description":723,"useCases":718,"indexable":200},"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":725,"label":726,"issuer":727,"region":138,"url":728,"description":729,"useCases":718,"indexable":200},"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":731,"label":732,"issuer":137,"region":138,"url":733,"description":734,"useCases":65,"indexable":200},"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":736,"label":737,"issuer":738,"region":272,"url":739,"description":740,"useCases":65,"indexable":200},"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":742,"label":743,"issuer":744,"region":697,"url":745,"description":746,"useCases":65,"indexable":200},"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.",1794496882956]