[{"data":1,"prerenderedAt":572},["ShallowReactive",2],{"uc-network-outage-communication-agent":3,"uc-regulations":368},{"useCase":4,"evidence":213,"blitsAiDeployments":245,"benchmarks":246,"indicative":247,"related":250,"indexability":366,"includeUnpublished":219},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":17,"functions":19,"patterns":23,"channels":29,"audience":36,"autonomy":37,"adoptionStage":38,"segment":39,"problem":40,"problemStats":41,"howItWorks":42,"valueDrivers":43,"kpis":48,"indicativeValue":54,"macroEstimates":94,"feasibility":95,"implementation":110,"risk":153,"blitsAi":190,"faq":192,"related":202,"datePublished":208,"dateModified":208,"lastVerified":208,"changelog":209,"slug":212},"AI agent for network outage detection and customer communication","Outage communication","AI agents for telecom outage notifications","An outage agent links network alarms to affected customers and tells them first. Comcast groups modem alarms, finds causes like power cuts and advises customers.","published","An AI agent that turns network alarms into a clear picture of which customers are affected by an outage and why, tells them proactively by message, app or phone with a cause and an estimated fix time, answers their questions during the incident, and updates them until service is restored.",[12,13,14,15,16],"outage notification agent","proactive outage messaging","service disruption communication","outage IVR","incident customer updates",[18],"telecommunications",[20,21,22],"customer-service","network-operations","field-service",[24,25,26,27,28],"anomaly-detection","classification-and-routing","content-generation","conversational-agent","voice-agent",[30,31,32,33,34,35],"sms","mobile-app","voice","whatsapp","web-chat","email","customer-facing","supervised-agent","emerging","front-office","When a network fails, every affected customer tries to find out what is going on at the same\nmoment. Inbound calls spike, queues fill with people asking the same question, and customers with\nunrelated problems cannot get through. Agents can know little more than the customer when the\nnetwork operations centre, field teams and the contact centre use different systems and update\neach other slowly.\n\nAn affected customer needs three answers: that the operator knows, why it happened and when it\nwill be fixed. Telling them first can prevent some of these calls, but only if the operator can\nwork out quickly which customers are affected, separate a local power cut from a network fault,\nand keep the estimate honest as the repair progresses.",[],"1. **Group the alarms.** Models correlate modem, cell and network alarms by location and time\n   into one incident instead of thousands of individual alerts.\n2. **Find the cause and the affected customers.** The system estimates the likely cause (a fibre\n   cut, a site failure, a commercial power outage) and the list of affected customers and services.\n3. **Tell customers first.** The agent drafts and sends proactive notices in each customer's\n   channel and language, with the cause, what to do (for example contact the power company) and\n   an estimated fix time, using approved message templates.\n4. **Answer questions during the incident.** Inbound calls and chats from affected customers are\n   recognised at once and answered with the latest status, instead of joining the queue.\n5. **Update and close.** As field teams report progress, customers receive updates, and after\n   restoration a closing message and any compensation that applies.",[44,45,46,47],"customer-experience","cost-to-serve","speed","compliance",[49,50,51,52,53],"interactions-handled","response-time-reduction","containment-rate","processing-time-reduction","customer-satisfaction",{"referenceOrg":55,"inputs":56,"formula":89,"currency":90,"period":91,"resultLabel":92,"caveat":93},"An operator with 2 million fixed and mobile customers",[57,62,69,76,82],{"key":58,"label":59,"low":60,"high":60,"unit":58,"note":61},"customers","Fixed and mobile customers",2000000,"The reference operator.",{"key":63,"label":64,"low":65,"high":66,"unit":67,"note":68},"affectedShare","Share of customers affected by at least one notable outage per year",0.2,0.4,"fraction of customers","Editorial assumption, replace with your own incident history.",{"key":70,"label":71,"low":72,"high":73,"unit":74,"note":75},"callsPerAffected","Outage related calls per affected customer",0.15,0.3,"calls per affected customer","Editorial assumption, replace with call volumes from past incidents.",{"key":77,"label":78,"low":65,"high":66,"unit":79,"note":80,"sourceUrl":81},"avoidedShare","Share of outage calls avoided or answered without a human","fraction of outage calls","Editorial assumption. No public benchmark for outage calls was found. Kore.ai reports about 40% call containment in the first month for a US telecom provider's voice self service as a whole, not for outage calls, so the range stays at or below that.","https://www.kore.ai/customer-stories/large-u-s-telecommunications-provider",{"key":83,"label":84,"low":85,"high":86,"unit":87,"note":88},"costPerCall","Cost of a human handled call",4,7,"USD per call","Editorial assumption, replace with your own fully loaded cost.","customers * affectedShare * callsPerAffected * avoidedShare * costPerCall","USD","per year","Outage call handling cost avoided","Counts only avoided call handling. It leaves out faster restoration from better diagnosis and dispatch, lower compensation and complaints, the value of keeping lines free for other customers during incidents, and the cost of the AI and network data integration.",[],{"complexity":96,"complexityNote":97,"dataPrerequisites":98,"integrations":104},"high","The conversation is the easy part. Linking network alarms to affected customers in minutes, and getting honest fix time estimates from field operations, needs integration across network management, inventory, field service and CRM, and a clear owner for every message sent.",[99,100,101,102,103],"Network topology and inventory that map customers to cells, nodes and fibre routes","Real time alarm and device status feeds","Field service job status and estimated repair times","Approved message templates per incident type and language","Contact preferences and consent for service messages",[105,106,107,108,109],"Network monitoring and alarm correlation","Network inventory and customer to network mapping","Field service management","Messaging platforms (SMS, app push, WhatsApp, email)","IVR and contact centre routing for inbound calls",{"steps":111,"guardrails":127,"humanInTheLoop":133,"kpisToInstrument":134,"failureModes":140},[112,115,118,121,124],{"title":113,"detail":114},"Map customers to the network","Without a reliable link from customers to the network elements that serve them, every notice is a guess. Fix inventory and mapping first.",{"title":116,"detail":117},"Agree who owns the message","Decide with network operations and communications who approves the cause, the estimate and the wording for each incident class, and which notices the agent may send on its own.",{"title":119,"detail":120},"Start with inbound recognition","Recognising callers in an affected area and giving them the status is low risk and high value. Add proactive notices once the affected customer lists prove accurate.",{"title":122,"detail":123},"Keep estimates honest","Take fix times from field service, give ranges rather than exact times and send an update whenever the estimate changes, even if it gets worse.",{"title":125,"detail":126},"Rehearse major incidents","Test the whole chain on simulated large outages, including emergency call disruption, so messaging scales and escalation to crisis teams works.",[128,129,130,131,132],"Proactive notices only from approved templates, with human approval for major incidents","Estimates always come from field service data, never generated by the model","Messages about disruption to emergency calling follow the crisis communication plan","Vulnerable and priority customers, such as telecare users, get direct contact","Service messages respect contact preferences and never include marketing","Network operations confirm the cause and scope of each incident, and communications or incident managers approve notices for major and sensitive outages. People handle priority customers and complaints, and review every major incident's customer communication afterwards.",[135,136,137,138,139],"Time from first alarm to first customer notice","Share of affected customers notified before they contacted the operator","Inbound contacts per affected customer during incidents","Accuracy of affected customer lists and fix time estimates","Satisfaction and complaints after major incidents",[141,144,147,150],{"title":142,"detail":143},"Wrong customers notified","Notices reach unaffected customers or miss affected ones. Validate customer to network mapping and measure list accuracy.",{"title":145,"detail":146},"Optimistic estimates","A fix time that keeps slipping destroys trust. Use ranges from field data and update proactively.",{"title":148,"detail":149},"Silence during the big one","Messaging fails under the load of a major outage. Load test and rehearse.",{"title":151,"detail":152},"Treating a power cut as a network fault","Engineers are sent to working equipment. Detect power outages and tell customers what they can do.",{"euAiAct":154,"regulations":157,"guidance":163,"controls":183,"incidents":189},{"tier":155,"basis":156},"context-dependent","The customer facing agent is limited risk with an Article 50 duty to disclose AI. AI used as a safety component in the management and operation of critical digital infrastructure is high risk under Annex III point 2, so the classification depends on whether the detection part acts on the network or only informs people.",[158,159,160,161,162],"eu-ai-act","gdpr","telecom-consumer-rules","eecc","nis2",[164,170,175,179],{"title":165,"issuer":166,"region":167,"url":168,"note":169},"Article 50, transparency obligations for providers and deployers of certain AI systems","European Union","europe","https://eur-lex.europa.eu/eli/reg/2024/1689/oj","People must be informed that they are interacting with an AI system unless this is obvious from the context.",{"title":171,"issuer":172,"region":167,"url":173,"note":174},"Investigation into Three following voice service outage on 25 June 2025","Ofcom","https://www.ofcom.org.uk/phones-and-broadband/telecoms-infrastructure/investigation-into-three-following-voice-service-outage-on-25-june-2025","Ofcom opened this investigation on 15 December 2025 after a UK wide voice outage that also disrupted calls to emergency services. It shows that sections 105A and 105C of the Communications Act 2003 require providers to prepare for and mitigate failures of network availability, which outage communication supports but does not replace.",{"title":176,"issuer":166,"region":167,"url":177,"note":178},"European Electronic Communications Code (Directive (EU) 2018/1972)","https://eur-lex.europa.eu/eli/dir/2018/1972/oj","Sets the EU end user rules for electronic communications services, such as contract information and compensation. Its security articles 40 and 41 were deleted from 18 October 2024 and replaced by NIS2.",{"title":180,"issuer":166,"region":167,"url":181,"note":182},"NIS2 Directive, Article 23 (reporting obligations)","https://eur-lex.europa.eu/eli/dir/2022/2555/oj","Where appropriate, essential and important entities, including providers of public electronic communications networks and services, must notify the recipients of their services without undue delay of significant incidents likely to affect those services.",[184,185,186,187,188],"Documented message templates and approval rules per incident class","Audit log of every notice, with the data it was based on","Load tests and major incident rehearsals at least yearly","Accuracy review of affected customer lists after each major incident","Priority customer register kept current and used in every incident",[],{"howToBuild":191},"On Blits.ai the detection usually stays in the operator's network tools; Blits.ai runs the\ncommunication. **Agentic workflows** are triggered through the API by an incident, fetch the\naffected customers and status through **custom functions**, and draft notices from approved\ntemplates. After **human in the loop approval** for major incidents, custom functions hand the\nnotices to the operator's own SMS, push or email gateway. **Agentic\ntasks** recheck the repair status on a schedule and send updates when it changes.\n\nInbound, the same **AI agent** answers on **voice, SMS, WhatsApp, web chat and email**, and in\nthe operator's own app through the **API channel**, recognising callers from an affected area\nand giving them the latest status. **Human handover** routes priority customers and complaints to people, **monitors** check the incident\njourney on a schedule, **test suites** replay incident scenarios, and the platform is model\nagnostic with EU and UAE data residency.",[193,196,199],{"question":194,"answer":195},"Can AI tell customers about an outage before they call?","Yes, if the operator can link alarms to customers. Comcast describes an AI tool, deployed nationwide, that groups modem alarms into one alert and identifies causes such as commercial power outages, so Comcast can notify affected customers with advice. Kore.ai says a large US telecom provider sends outbound outage SMS to reduce repeat calls. Published figures on calls avoided are still rare.",{"question":197,"answer":198},"Who should approve outage messages?","Routine local notices can go out automatically from approved templates. Major incidents, especially those affecting emergency calls, need approval from incident or communications managers, because the message is part of the operator's regulatory response.",{"question":200,"answer":201},"How does this differ from AIOps incident triage?","AIOps helps engineers find and fix the fault. Outage communication uses the same incident data to keep customers informed and to take pressure off the contact centre while the fix is under way.",[203,204,205,206,207],"network-fault-triage-copilot","device-and-connectivity-troubleshooting-agent","outbound-reminder-and-confirmation-agent","first-line-contact-centre-agent","flight-disruption-and-rebooking-agent","2026-09-27",[210],{"date":208,"note":211},"First published","network-outage-communication-agent",[214],{"title":215,"useCases":216,"organization":217,"vendors":222,"summary":225,"stage":226,"year":227,"channels":228,"languages":230,"metrics":232,"outcomeDisclosed":233,"sources":234,"verification":240,"grade":242,"id":243,"organizationSlug":244},"Comcast: AI that groups outage alarms and finds the cause so customers can be notified",[212],{"name":218,"anonymized":219,"country":220,"region":221,"industry":18},"Comcast",false,"US","north-america",[223],{"name":218,"role":224},"in-house","Comcast deployed a proprietary AI tool nationwide across its footprint after trials in the 2024 hurricane season. When many modems go offline it groups the individual alarms by location and time into one alert, then analyses device and network data to determine the cause, for example a commercial power outage. Comcast says this diagnosis lets it notify affected customers with recommendations such as contacting their local power provider, and that the tool streamlines the dispatch of technicians with the tools they need. Comcast does not say that the AI sends the notices itself or that customers hear before they call. Comcast says trials in the 2024 hurricane season raised storm recovery effectiveness by fifty percent in impacted regions.","scaled",2025,[229],"api",[231],"en",[],true,[235],{"url":236,"title":237,"publisher":218,"date":238,"archivedUrl":239},"https://corporate.comcast.com/press/releases/comcast-leverages-ai-to-restore-service-faster-when-commercial-power-outages-impact-customers","Comcast Leverages AI to Restore Service Faster When Commercial Power Outages Impact Customers","2025-09-26","https://web.archive.org/web/20260517021049/https://corporate.comcast.com/press/releases/comcast-leverages-ai-to-restore-service-faster-when-commercial-power-outages-impact-customers",{"level":241,"checkedAt":208},"source-verified","B","comcast-ai-outage-detection-and-notification",null,0,[],{"low":248,"high":249},48000,672000,[251,282,301,318,351],{"slug":203,"title":252,"shortTitle":253,"definition":254,"status":9,"industries":255,"functions":256,"patterns":258,"audience":262,"autonomy":263,"adoptionStage":264,"segment":265,"evidenceCount":266,"publicEvidenceCount":266,"organizations":267,"bestGrade":242,"headline":274,"lastVerified":208,"indexable":233},"AI copilot for network operations centre fault triage","NOC fault triage copilot","AI in the network operations centre (NOC) that correlates alarms and performance data from radio, transport, core and fixed networks into a small number of probable faults, ranks them by customer impact, proposes the likely root cause and fix from runbooks, vendor documentation and past tickets, and routes the ticket to the right team, while an engineer decides what to change.",[18],[21,257],"operations",[24,25,259,260,261],"rag-knowledge-assistant","summarization","agentic-workflow","employee-facing","copilot","early-adopters","network",6,[268,269,270,271,272,273],"Bell Canada","Deutsche Telekom","KDDI","Orange","Telstra","Vodafone",{"kpi":52,"label":275,"unit":276,"n":277,"nUpTo":245,"kind":278,"value":279,"qualifier":280,"claimant":281,"organization":269,"vendorReported":219},"Cycle time reduction","percent",1,"reported",95,"at-least","organization",{"slug":204,"title":283,"shortTitle":284,"definition":285,"status":9,"industries":286,"functions":287,"patterns":288,"audience":36,"autonomy":37,"adoptionStage":264,"segment":39,"evidenceCount":85,"publicEvidenceCount":85,"organizations":290,"bestGrade":242,"headline":294,"lastVerified":300,"indexable":233},"AI agent for device and connectivity troubleshooting on voice and chat","Device and connectivity troubleshooting","An AI agent that diagnoses and fixes a customer's broadband, mobile, TV or device problem by conversation on the phone or in chat, running line tests and remote resets through the operator's systems, guiding the customer step by step, and booking an engineer or handing over to a technician when the fault needs a person.",[18],[20,22],[27,28,261,259,289],"computer-vision",[291,292,293,273],"Singtel","Virgin Media O2","Vodafone Germany",{"kpi":51,"label":295,"unit":276,"n":296,"nUpTo":245,"kind":297,"value":298,"qualifier":299,"claimant":244,"organization":244,"vendorReported":219},"Containment rate",3,"median",70,"exact","2026-09-26",{"slug":205,"title":302,"shortTitle":303,"definition":304,"status":9,"industries":305,"functions":309,"patterns":310,"audience":36,"autonomy":37,"adoptionStage":264,"evidenceCount":312,"publicEvidenceCount":85,"organizations":313,"bestGrade":242,"headline":244,"lastVerified":300,"indexable":233},"AI agent for outbound reminders and confirmations by voice and messaging","Outbound reminders and confirmations","An AI agent that contacts customers about something they already booked or ordered (an appointment, a delivery, a reservation or a service visit) to remind them, confirm attendance and let them cancel or move it in the same conversation, by phone, SMS, WhatsApp or email. It is operational service outreach, not marketing: nothing is sold, and success is measured in kept appointments and reused slots, not in conversion.",[306,307,308],"cross-industry","healthcare","government",[20,257],[28,27,261,311],"prediction-and-scoring",5,[314,315,316,317],"Sheffield Children's NHS Foundation Trust","University Hospitals Coventry and Warwickshire NHS Trust","U.S. Department of Veterans Affairs","WellSpan Health",{"slug":206,"title":319,"shortTitle":320,"definition":321,"status":9,"industries":322,"functions":328,"patterns":329,"audience":36,"autonomy":37,"adoptionStage":330,"segment":39,"evidenceCount":331,"publicEvidenceCount":332,"organizations":333,"bestGrade":242,"headline":349,"lastVerified":208,"indexable":233},"AI agent for first line contact centre service","First line contact centre","An AI agent that answers the first line of inbound customer contact on phone, chat and messaging, resolves general and routine questions end to end in the customer's own language, and routes everything complex, sensitive or regulated to the right human team with the context attached.",[306,323,324,18,325,326,327],"banking","payments","travel-and-hospitality","retail-and-ecommerce","wealth-and-asset-management",[20],[27,28,259,25],"mainstream",25,18,[334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,293,273],"Air India","Airbnb","Bank of America","Bank of the Philippine Islands","BT Group","Commonwealth Bank of Australia","Ingka Group","JetBlue","Klarna","Lufthansa Group","Mobily","NatWest Group","Pegasus Airlines","Telkomsel","Together Credit Union",{"kpi":51,"label":295,"unit":276,"n":86,"nUpTo":245,"kind":297,"value":350,"qualifier":299,"claimant":244,"organization":244,"vendorReported":219},47,{"slug":207,"title":352,"shortTitle":353,"definition":354,"status":9,"industries":355,"functions":356,"patterns":357,"audience":36,"autonomy":37,"adoptionStage":264,"evidenceCount":266,"publicEvidenceCount":266,"organizations":358,"bestGrade":242,"headline":361,"lastVerified":208,"indexable":233},"AI agent for flight disruption and rebooking","Flight disruption and rebooking","An AI agent that tells passengers proactively when their flight is delayed, cancelled or misconnected, explains why, and lets them rebook, request a refund or voucher, or claim care such as meals and hotels in one conversation on app, messaging, web or phone, within the airline's reaccommodation rules and passenger rights, handing complex itineraries and upset customers to a human with the context attached.",[325],[20,257],[27,28,261,26],[334,359,341,343,346,360],"Delta Air Lines","United Airlines",{"kpi":362,"label":363,"unit":276,"n":277,"nUpTo":245,"kind":278,"value":364,"qualifier":299,"claimant":365,"organization":334,"vendorReported":233},"automation-rate","Automation rate",97,"vendor",{"indexable":233,"reasons":367},[],[369,373,378,386,393,399,406,412,420,426,433,439,446,453,459,462,469,475,481,486,490,496,502,507,512,519,526,531,536,543,549,555,561,566],{"id":158,"label":370,"issuer":166,"region":167,"url":168,"description":371,"useCases":372,"indexable":233},"EU AI Act","Regulation (EU) 2024/1689: risk based rules for AI systems, with obligations for high risk systems listed in Annex III and transparency duties under Article 50.",197,{"id":159,"label":374,"issuer":166,"region":167,"url":375,"description":376,"useCases":377,"indexable":233},"GDPR","https://eur-lex.europa.eu/eli/reg/2016/679/oj","General Data Protection Regulation, including Article 22 on decisions based solely on automated processing.",180,{"id":379,"label":380,"issuer":381,"region":382,"url":383,"description":384,"useCases":385,"indexable":233},"iso-42001","ISO/IEC 42001","ISO and IEC","global","https://www.iso.org/standard/81230.html","The international management system standard for AI.",110,{"id":387,"label":388,"issuer":389,"region":221,"url":390,"description":391,"useCases":392,"indexable":233},"nist-ai-rmf","NIST AI Risk Management Framework","NIST","https://www.nist.gov/itl/ai-risk-management-framework","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",83,{"id":394,"label":395,"issuer":166,"region":167,"url":396,"description":397,"useCases":398,"indexable":233},"dora","DORA","https://eur-lex.europa.eu/eli/reg/2022/2554/oj","Digital Operational Resilience Act for financial entities: ICT risk, incident reporting and third party risk, including AI providers.",66,{"id":400,"label":401,"issuer":402,"region":167,"url":403,"description":404,"useCases":405,"indexable":233},"uk-gdpr","UK GDPR","Information Commissioner's Office","https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/","The UK's version of the GDPR, including rules on solely automated decisions.",64,{"id":407,"label":408,"issuer":409,"region":167,"url":410,"description":411,"useCases":350,"indexable":233},"uk-consumer-duty","FCA Consumer Duty","Financial Conduct Authority","https://www.fca.org.uk/firms/consumer-duty","UK rules that require firms to deliver good outcomes for retail customers, including through automated channels.",{"id":413,"label":414,"issuer":415,"region":416,"url":417,"description":418,"useCases":419,"indexable":233},"mas-ai-risk-management","MAS AI risk management guidelines","Monetary Authority of Singapore","asia-pacific","https://www.mas.gov.sg/news/media-releases/2025/mas-guidelines-for-artificial-intelligence-risk-management","Singapore's supervisory expectations for AI risk management at financial institutions, building on the FEAT principles.",36,{"id":421,"label":422,"issuer":423,"region":416,"url":424,"description":425,"useCases":331,"indexable":233},"apra-cps-230","APRA CPS 230","Australian Prudential Regulation Authority","https://www.apra.gov.au/operational-risk-management","Australian operational risk standard covering critical operations and material service providers.",{"id":427,"label":428,"issuer":429,"region":382,"url":430,"description":431,"useCases":432,"indexable":233},"pci-dss","PCI DSS","PCI Security Standards Council","https://www.pcisecuritystandards.org/","Security standard for any system that stores, processes or transmits cardholder data.",20,{"id":434,"label":435,"issuer":436,"region":221,"url":437,"description":438,"useCases":432,"indexable":233},"us-sr-11-7","SR 11-7 model risk management","Federal Reserve and OCC","https://www.federalreserve.gov/boarddocs/srletters/2011/sr1107.htm","US supervisory guidance on model risk management, applied by banks to AI and machine learning models.",{"id":440,"label":441,"issuer":442,"region":167,"url":443,"description":444,"useCases":445,"indexable":233},"uk-atrs","UK Algorithmic Transparency Recording Standard","UK Government","https://www.gov.uk/government/collections/algorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",16,{"id":447,"label":448,"issuer":449,"region":382,"url":450,"description":451,"useCases":452,"indexable":233},"fatf-recommendations","FATF Recommendations","Financial Action Task Force","https://www.fatf-gafi.org/en/publications/Fatfrecommendations/Fatf-recommendations.html","Global standards for anti money laundering and counter terrorist financing that national rules implement.",15,{"id":454,"label":455,"issuer":166,"region":167,"url":456,"description":457,"useCases":458,"indexable":233},"eu-amlr","EU Anti Money Laundering Regulation","https://eur-lex.europa.eu/eli/reg/2024/1624/oj","Regulation (EU) 2024/1624: the single EU rulebook for customer due diligence, beneficial ownership and suspicious transaction reporting.",14,{"id":162,"label":460,"issuer":166,"region":167,"url":181,"description":461,"useCases":458,"indexable":233},"NIS2 Directive","Directive (EU) 2022/2555 on cybersecurity for essential and important entities, including telecom networks, energy and public administration.",{"id":463,"label":464,"issuer":465,"region":221,"url":466,"description":467,"useCases":468,"indexable":233},"us-bsa","Bank Secrecy Act","FinCEN","https://www.fincen.gov/resources/statutes-and-regulations/bank-secrecy-act","US anti money laundering law: customer due diligence, suspicious activity reports and record keeping.",13,{"id":470,"label":471,"issuer":166,"region":167,"url":472,"description":473,"useCases":474,"indexable":233},"eu-accessibility-act","European Accessibility Act","https://eur-lex.europa.eu/eli/dir/2019/882/oj","Directive (EU) 2019/882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",12,{"id":476,"label":477,"issuer":478,"region":221,"url":479,"description":480,"useCases":474,"indexable":233},"hipaa","HIPAA","US Department of Health and Human Services","https://www.hhs.gov/hipaa/index.html","US rules for the privacy and security of protected health information.",{"id":160,"label":482,"issuer":483,"region":382,"url":484,"description":485,"useCases":474,"indexable":233},"Telecom consumer protection rules","National telecom regulators","https://www.berec.europa.eu/","National rules on telecom contracts, switching, billing disputes and marketing consent.",{"id":161,"label":487,"issuer":166,"region":167,"url":177,"description":488,"useCases":489,"indexable":233},"European Electronic Communications Code","Directive (EU) 2018/1972: consumer protection, contract, switching and security rules for telecom operators.",11,{"id":491,"label":492,"issuer":493,"region":221,"url":494,"description":495,"useCases":489,"indexable":233},"us-tcpa","Telephone Consumer Protection Act","Federal Communications Commission","https://www.fcc.gov/consumers/guides/stop-unwanted-robocalls-and-texts","US consent rules for automated and prerecorded calls and texts; the FCC has confirmed AI generated voices count as artificial voices.",{"id":497,"label":498,"issuer":415,"region":416,"url":499,"description":500,"useCases":501,"indexable":233},"mas-notice-626","MAS Notice 626","https://www.mas.gov.sg/regulation/notices/notice-626","Singapore's anti money laundering and counter terrorism financing requirements for banks.",10,{"id":503,"label":504,"issuer":166,"region":167,"url":505,"description":506,"useCases":501,"indexable":233},"mifid-ii","MiFID II","https://eur-lex.europa.eu/eli/dir/2014/65/oj","Directive 2014/65/EU on markets in financial instruments: suitability and appropriateness of advice, record keeping and product governance.",{"id":508,"label":509,"issuer":166,"region":167,"url":510,"description":511,"useCases":501,"indexable":233},"eu-psd2","PSD2","https://eur-lex.europa.eu/eli/dir/2015/2366/oj","Payment Services Directive 2: strong customer authentication, transaction risk analysis exemptions and open banking access.",{"id":513,"label":514,"issuer":515,"region":167,"url":516,"description":517,"useCases":518,"indexable":233},"eba-loan-origination","EBA Guidelines on loan origination and monitoring","European Banking Authority","https://www.eba.europa.eu/regulation-and-policy/credit-risk/guidelines-on-loan-origination-and-monitoring","Expectations for credit decisioning, including the use of automated models.",9,{"id":520,"label":521,"issuer":522,"region":221,"url":523,"description":524,"useCases":525,"indexable":233},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","https://www.consumerfinance.gov/rules-policy/regulations/1002/9/","US fair lending rules, including specific reasons in adverse action notices, which also apply when credit decisions use AI models.",8,{"id":527,"label":528,"issuer":166,"region":167,"url":529,"description":530,"useCases":525,"indexable":233},"solvency-ii","Solvency II","https://eur-lex.europa.eu/eli/dir/2009/138/oj","Directive 2009/138/EC: risk based capital, governance and model requirements for insurers.",{"id":532,"label":533,"issuer":166,"region":167,"url":534,"description":535,"useCases":266,"indexable":233},"eu-idd","Insurance Distribution Directive","https://eur-lex.europa.eu/eli/dir/2016/97/oj","Directive (EU) 2016/97: conduct rules for selling insurance, including demands and needs testing and advice.",{"id":537,"label":538,"issuer":539,"region":540,"url":541,"description":542,"useCases":312,"indexable":233},"cbuae-ai-guidance","CBUAE guidance on AI and ML","Central Bank of the UAE","middle-east","https://www.centralbank.ae/","UAE central bank expectations for the enabling technologies, AI and machine learning used by licensed financial institutions.",{"id":544,"label":545,"issuer":546,"region":167,"url":547,"description":548,"useCases":85,"indexable":233},"pra-ss1-23","PRA SS1/23 model risk management","Prudential Regulation Authority","https://www.bankofengland.co.uk/prudential-regulation/publication/2023/may/model-risk-management-principles-for-banks-ss","UK model risk management principles for banks, covering AI and machine learning models.",{"id":550,"label":551,"issuer":552,"region":167,"url":553,"description":554,"useCases":85,"indexable":233},"uk-psr-app-reimbursement","UK APP scam reimbursement rules","Payment Systems Regulator","https://www.psr.org.uk/our-work/app-scams/","Mandatory reimbursement of authorised push payment scam victims by UK payment firms, which shifts scam losses onto banks.",{"id":556,"label":557,"issuer":558,"region":416,"url":559,"description":560,"useCases":296,"indexable":233},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","https://treasury.gov.au/consultation/c2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",{"id":562,"label":563,"issuer":166,"region":167,"url":564,"description":565,"useCases":296,"indexable":233},"eu-mar","EU Market Abuse Regulation","https://eur-lex.europa.eu/eli/reg/2014/596/oj","Regulation (EU) 596/2014: insider dealing and market manipulation, including the duty to detect and report suspicious orders and transactions.",{"id":567,"label":568,"issuer":569,"region":221,"url":570,"description":571,"useCases":296,"indexable":233},"us-fcra","Fair Credit Reporting Act","Federal Trade Commission","https://www.ftc.gov/legal-library/browse/statutes/fair-credit-reporting-act","US rules on consumer reports, their accuracy and permissible use, relevant to credit scoring and screening.",1790598295282]