[{"data":1,"prerenderedAt":591},["ShallowReactive",2],{"uc-supplier-discovery-and-scouting":3,"uc-regulations":371},{"useCase":4,"evidence":181,"blitsAiDeployments":269,"benchmarks":270,"indicative":278,"related":281,"indexability":369,"includeUnpublished":187},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":17,"functions":21,"patterns":23,"channels":27,"audience":29,"autonomy":30,"adoptionStage":31,"problem":32,"problemStats":33,"howItWorks":34,"valueDrivers":35,"kpis":40,"indicativeValue":45,"macroEstimates":80,"feasibility":81,"implementation":94,"risk":136,"blitsAi":159,"faq":161,"related":171,"datePublished":176,"dateModified":176,"lastVerified":176,"changelog":177,"slug":180},"AI supplier discovery and scouting for procurement","Supplier discovery and scouting","AI supplier discovery and scouting","AI supplier search profiles candidates and builds a shortlist. Scoutbee reports Linde cut scouting hours by 95% and Audi screened 180 times more suppliers.","published","Supplier discovery AI searches large supplier data sets for companies able to supply a requirement, profiles them and builds a longlist and shortlist for buyers. A buyer reviews the list, invites suppliers to an RFI or RFQ and makes the selection.",[12,13,14,15,16],"supplier scouting","AI supplier search","supplier identification","second source identification","supplier qualification",[18,19,20],"cross-industry","manufacturing","automotive",[22],"procurement",[24,25,26],"prediction-and-scoring","agentic-workflow","rag-knowledge-assistant",[28],"internal-tools","employee-facing","copilot","early-adopters","A buyer who needs a supplier for an unfamiliar item starts with the vendors already in the supplier\nmaster and then with search engines, trade directories, referrals and phone calls. The result is\nlimited by what the buyer already knows. When the market is niche, changes quickly or has to meet\nlocal certification, the search can take weeks and still miss capable suppliers.\n\nThe records on this page start from that position. Scoutbee's account of Linde Engineering says the\nteam needed a supplier for a specific steam boiler within a few weeks, because of tendering\ndeadlines for an external project, and doubted that its traditional suppliers could offer a\ncompetitive price. Audi was moving from diesel to electric industrial towing vehicles and had to\nfind new suppliers for electric towing vehicles in a niche supplier market. Both searched wider than the existing\nsupplier base, and both measured the result in how many suppliers were found and how much buyer time\nit took.",[],"1. **State the requirement.** The buyer writes what is needed: product or service, specification,\n   required certificates, regions and volumes. The assistant turns it into search terms and filters,\n   and asks for what is missing.\n2. **Search the supplier data.** The system searches a large supplier data set and returns\n   candidates with a profile (location, size, capabilities, certificates, contacts).\n3. **Rank and filter.** Candidates are scored against the requirement, and duplicates and companies that\n   do not fit a hard criterion are removed. The result is a longlist, with the reason each supplier\n   is on it.\n4. **Qualify.** The buyer reviews the longlist, sends an RFI to the suppliers that look suitable, and\n   the answers are added to each profile. Checks on risk, sanctions and financial health follow\n   before any supplier is invited to bid.\n5. **Hand over to sourcing.** The shortlist moves into the RFQ or tender, and the suppliers, the\n   communication and the choices stay in one project record for the next buyer.",[36,37,38,39],"employee-productivity","speed","cost-to-serve","risk-reduction",[41,42,43,44],"productivity-gain","processing-time-reduction","time-saved-per-task","cost-reduction",{"referenceOrg":46,"inputs":47,"formula":75,"currency":76,"period":77,"resultLabel":78,"caveat":79},"An industrial manufacturer that runs 120 supplier scouting projects a year",[48,54,61,68],{"key":49,"label":50,"low":51,"high":51,"unit":52,"note":53},"projects","Supplier scouting projects per year",120,"projects per year","The reference organization. Replace with your own count of new supplier searches.",{"key":55,"label":56,"low":57,"high":58,"unit":59,"note":60},"hoursPerProject","Buyer hours per scouting project today",15,40,"hours per project","Editorial assumption for desk research, calls and building a longlist by hand. Replace with a time study from your own buyers.",{"key":62,"label":63,"low":64,"high":65,"unit":66,"note":67},"reduction","Share of those hours the AI search saves",0.3,0.7,"fraction of hours","Conservative against the vendor reported results on this page (Scoutbee reports a 95% reduction in working hours at Linde Engineering and up to 90% less procurement workload at Siemens), because buyers still review and qualify every longlist.",{"key":69,"label":70,"low":71,"high":72,"unit":73,"note":74},"hourlyCost","Fully loaded buyer hour",50,90,"USD per hour","Editorial assumption.","projects * hoursPerProject * reduction * hourlyCost","USD","per year","Buyer time spent on supplier scouting avoided","Counts buyer time only. It leaves out the price effect of a wider supplier pool, the value of a faster source for a delayed project, risk reduction from a second source, the platform cost and the work of qualifying and onboarding the new suppliers.",[],{"complexity":82,"complexityNote":83,"dataPrerequisites":84,"integrations":89},"low","A copilot that returns candidates for a buyer to review needs no write access to the ERP. What it needs is a supplier data source that covers your categories and regions, a short list of qualification criteria per category, and a buyer who checks every shortlist before suppliers are contacted. Coverage of niche and local suppliers differs by data source and is worth testing on a past search.",[85,86,87,88],"A written requirement or specification for each search, with mandatory criteria such as certificates","The supplier master, so that existing vendors and blocked vendors are recognized","Qualification criteria per category (certificates, financial thresholds, regions)","Past scouting projects, to test whether the tool would have found the chosen supplier",[90,91,92,93],"Supplier data provider or search platform","ERP or supplier master for existing and blocked suppliers","Sourcing suite for RFI, RFQ and tender events","Supplier risk and screening services",{"steps":95,"guardrails":111,"humanInTheLoop":116,"kpisToInstrument":117,"failureModes":123},[96,99,102,105,108],{"title":97,"detail":98},"Replay past searches","Take five to ten completed scouting projects and rerun them in the tool. Check whether the supplier that was chosen appears, how many new capable suppliers it adds and how much time it saves, before any real search depends on it.",{"title":100,"detail":101},"Fix the qualification criteria","Write the mandatory and preferred criteria per category, such as certificates, regions and size, so the ranking reflects the buyer's rules and not the tool's defaults.",{"title":103,"detail":104},"Run it beside the manual search","For the first live projects, search by hand and with the tool and compare the two longlists. Note which suppliers only one method found and why.",{"title":106,"detail":107},"Connect the result to sourcing","Move the shortlist directly into the RFI or RFQ so suppliers do not have to be re entered, and keep the project record with the supplier answers for the next search.",{"title":109,"detail":110},"Run risk checks before outreach","Apply sanctions, adverse media and financial health checks to the shortlist before any invitation goes out, using the organization's existing due diligence process.",[112,113,114,115],"Every candidate shown with its source and the criteria it matched, so a buyer can check the profile","No supplier contacted, onboarded or added to the supplier master without a buyer's decision","Sanctions and risk screening before any invitation, outside the discovery tool's own scoring","Contact data of individuals used only for the stated sourcing purpose and kept for a stated period","The buyer owns the requirement, reviews the longlist, decides which suppliers receive an RFI and makes the selection. Category managers own the criteria and review, each quarter, which suppliers the tool found and which ones the team actually used.",[118,119,120,121,122],"Buyer hours per scouting project, compared with a baseline from past projects","Number of new qualified suppliers per project that were not in the supplier master","Share of shortlisted suppliers that answer the RFI","Days from requirement to a shortlist and to the first proposal","Share of awards that go to a supplier the tool found",[124,127,130,133],{"title":125,"detail":126},"Stale or wrong profiles","A profile shows a capability or certificate the company no longer has. Verify certificates and capacity in the RFI answer before a supplier is shortlisted.",{"title":128,"detail":129},"Coverage gaps hidden by a long list","The list looks long but misses local or niche suppliers the data source does not cover. Replay past searches and compare against the incumbent supplier base to find the gaps.",{"title":131,"detail":132},"A bigger pool nobody qualifies","The tool finds hundreds of candidates and the team cannot assess them, so it falls back on known names. Set a longlist size, rank candidates and agree who qualifies them.",{"title":134,"detail":135},"Bias towards large, well documented companies","Ranking favors suppliers with a large online footprint and misses small specialists. Review the ranking logic and include small and diverse suppliers deliberately where policy asks for it.",{"euAiAct":137,"regulations":140,"guidance":145,"controls":152,"incidents":158},{"tier":138,"basis":139},"minimal","Searching for and profiling companies as potential suppliers is not listed in Annex III and does not decide on individuals, so only AI literacy duties apply. Supplier contacts are personal data, which brings GDPR duties on how they are collected and kept. Using the tool to profile individual people, for example sole traders or workers, would need a separate assessment.",[141,142,143,144],"eu-ai-act","gdpr","iso-42001","nist-ai-rmf",[146],{"title":147,"issuer":148,"region":149,"url":150,"note":151},"AI Risk Management Framework","National Institute of Standards and Technology","north-america","https:\u002F\u002Fwww.nist.gov\u002Fitl\u002Fai-risk-management-framework","Voluntary framework, with a generative AI profile, for governing and measuring AI risks such as inaccurate company profiles and biased ranking.",[153,154,155,156,157],"Source and retrieval date shown for every supplier profile","Documented selection criteria per category, owned by a category manager","Log of searches, longlists and the buyer's decisions","Personal data of supplier contacts limited to business contact details, with a retention period","Periodic comparison of tool results with the buyers' own searches",[],{"howToBuild":160},"On Blits.ai this is an **AI agent** that a buyer opens in the sourcing team's tools. The buyer\ndescribes the requirement, and the agent uses its built in **web search** and **web page browsing**\ntools to find candidate companies, while a **knowledge base** with hybrid retrieval holds the\ncategory criteria and the organization's qualification policy. A **SQL knowledge base** or a\n**custom function** reads the supplier master, so existing and blocked vendors are marked, and\n**structured output** returns each candidate as a profile with the criteria it matched and the\nsource of every claim.\n\nThe result goes to the buyer for review, and an **agentic workflow** with **human in the loop**\napproval can draft the RFI email for the suppliers the buyer selects. **Guardrails** and **PII\nmasking** protect personal data in contact details, **test suites** replay past scouting searches\nto check that the chosen supplier is found, and **analytics** and **monitors** show usage and\nfailures. The platform is model agnostic, so the search and the drafting can use different models.",[162,165,168],{"question":163,"answer":164},"How many suppliers does an AI search find compared with a manual one?","Scoutbee reports that its search found 567 suppliers for Linde Engineering's steam boiler requirement, which were narrowed to 60 on a longlist, 24 pre qualified for an RFI and 8 on the shortlist. For Audi it reports a longlist of 57 suppliers and that it screened 180 times more suppliers in a fraction of the time needed for conventional supplier scouting. Both are the vendor's figures, so replay one of your own past searches before relying on them.",{"question":166,"answer":167},"Does the AI choose the supplier?","No. It produces a ranked longlist with profiles. The buyer decides who receives an RFI, the RFI answers and risk checks narrow the list, and the award follows the normal sourcing process.",{"question":169,"answer":170},"How is this different from supplier risk monitoring or vendor due diligence?","Discovery finds and profiles suppliers you do not yet use. Due diligence and risk monitoring check the suppliers you have chosen or already use, so a discovery tool should hand its shortlist to that process before any invitation goes out.",[172,173,174,175],"vendor-due-diligence","supply-chain-disruption-monitoring","procurement-spend-classification","procurement-contract-review","2026-10-13",[178],{"date":176,"note":179},"First published","supplier-discovery-and-scouting",[182,218,242],{"title":183,"useCases":184,"organization":185,"vendors":191,"summary":195,"stage":196,"year":197,"channels":198,"languages":199,"metrics":201,"outcomeDisclosed":208,"sources":209,"verification":213,"grade":215,"id":216,"organizationSlug":217},"Siemens: supplier discovery projects with Scoutbee",[180],{"name":186,"anonymized":187,"country":188,"region":189,"industry":19,"wikidata":190},"Siemens AG",false,"DE","europe","Q81230",[192],{"name":193,"role":194},"Scoutbee","platform","Siemens uses Scoutbee's AI platform to find and profile suppliers for procurement projects, from the short term identification of a second source to the screening of specific procurement markets and the selection of research partners and start ups. Scoutbee reports 94 completed projects for 18 business units, 6,893 suppliers identified and 283 quotations evaluated.","scaled",2025,[28],[200],"en",[202],{"kpi":41,"value":72,"unit":203,"qualifier":204,"claimant":205,"quote":206,"sourceUrl":207},"percent","up-to","vendor","Up to 90% reduction in procurement workload","https:\u002F\u002Fblog.scoutbee.com\u002Fcase-studies\u002Fresources\u002Fcase-studies\u002Fhow-scoutbee-s-ai-powered-supplier-scouting-helps-siemens-procurement-reduce-time-and-workload",true,[210],{"url":207,"title":211,"publisher":193,"date":212},"How Siemens Transformed Procurement Management with Scoutbee's AI","2025-04-25",{"level":214,"checkedAt":176},"source-verified","C","siemens-scoutbee-supplier-discovery",null,{"title":219,"useCases":220,"organization":221,"vendors":224,"summary":226,"stage":227,"year":228,"channels":229,"languages":230,"metrics":231,"outcomeDisclosed":208,"sources":232,"verification":240,"grade":215,"id":241,"organizationSlug":217},"Audi: scouting suppliers for electric towing vehicles with Scoutbee",[180],{"name":222,"anonymized":187,"country":188,"region":189,"industry":20,"wikidata":223},"Audi AG","Q23317",[225],{"name":193,"role":194},"Audi was moving from diesel to electric industrial towing vehicles and had to find new suppliers in a niche supplier market. Using Scoutbee's AI supplier search, a longlist of 57 potential suppliers was built, and seven suppliers sent a proposal within seven weeks. Scoutbee reports that the responsible purchaser spent six hours on the project and that 180 times more suppliers were screened than with conventional scouting.","production",2020,[28],[200],[],[233,236],{"url":234,"title":235,"publisher":193,"date":212},"https:\u002F\u002Fblog.scoutbee.com\u002Fcase-studies\u002Faudi-ev-towing-vehicles","Audi Success Story",{"url":237,"title":238,"publisher":193,"date":239},"https:\u002F\u002Fweb.archive.org\u002Fweb\u002F20201031001702\u002Fhttps:\u002F\u002Fscoutbee.com\u002Fresources\u002Fcase-studies\u002Faudi-vehicle\u002F","Audi Case Study (Internet Archive capture of 31 October 2020)","2020-10-31",{"level":214,"checkedAt":176},"audi-scoutbee-towing-vehicle-suppliers",{"title":243,"useCases":244,"organization":245,"vendors":248,"summary":250,"stage":227,"year":228,"channels":251,"languages":252,"metrics":253,"outcomeDisclosed":208,"sources":259,"verification":267,"grade":215,"id":268,"organizationSlug":217},"Linde Engineering: finding steam boiler suppliers with Scoutbee",[180],{"name":246,"anonymized":187,"region":247,"industry":19},"Linde Engineering","global",[249],{"name":193,"role":194},"Linde Engineering needed a new supplier for a specific steam boiler within a few weeks, because of tendering deadlines for an external project. Scoutbee's AI search found 567 suppliers, which were narrowed to 60 on a longlist, 24 pre qualified for an RFI and 8 on the shortlist. Scoutbee reports a 95% reduction in working hours for the buyers in the scouting process.",[28],[200],[254],{"kpi":41,"value":255,"unit":203,"qualifier":256,"claimant":205,"quote":257,"sourceUrl":258},95,"exact","95% reduction in working hours for buyers involved in the scouting process.","https:\u002F\u002Fblog.scoutbee.com\u002Fcase-studies\u002Flinde",[260,263],{"url":258,"title":261,"publisher":193,"date":262},"Linde Success Story","2025-04-11",{"url":264,"title":265,"publisher":193,"date":266},"https:\u002F\u002Fweb.archive.org\u002Fweb\u002F20201201092719\u002Fhttps:\u002F\u002Fscoutbee.com\u002Fresources\u002Fcase-studies\u002Flinde-steam-boiler\u002F","Linde - Steam Boiler Case Study (Internet Archive capture of 1 December 2020)","2020-12-01",{"level":214,"checkedAt":176},"linde-scoutbee-steam-boiler-suppliers",0,[271],{"kpi":41,"label":272,"unit":203,"aggregate":208,"higherIsBetter":208,"n":273,"nUpTo":273,"median":255,"min":255,"max":255,"byClaimant":274,"vendorOnly":208,"points":275},"Productivity gain",1,{"organization":269,"vendor":273,"regulator":269,"independent":269},[276,277],{"evidenceId":268,"organization":246,"value":255,"qualifier":256,"claimant":205,"grade":215,"pooled":208},{"evidenceId":216,"organization":186,"value":72,"qualifier":204,"claimant":205,"grade":215,"pooled":187},{"low":279,"high":280},27000,302400,[282,307,332,349],{"slug":172,"title":283,"shortTitle":284,"definition":285,"status":9,"industries":286,"functions":291,"patterns":294,"audience":29,"autonomy":30,"adoptionStage":31,"segment":297,"evidenceCount":298,"publicEvidenceCount":298,"organizations":299,"bestGrade":305,"headline":217,"lastVerified":306,"indexable":208},"AI for third party and vendor risk due diligence","Vendor due diligence","AI for vendor due diligence reviews a vendor's security questionnaires, SOC and assurance reports and contracts against an organization's control requirements, and researches the vendor for a risk team. It also checks model documentation, researches the vendor's ownership, sanctions, financial health and adverse media, drafts the risk assessment for a human to approve, and keeps the register of material service providers current with ongoing monitoring.",[18,287,288,289,290],"banking","insurance","government","payments",[22,292,293],"risk-management","regulatory-compliance",[295,26,25,296],"document-processing","summarization","second-line",5,[300,301,302,303,304],"U.S. Department of Justice","Internal Revenue Service","Northwell Health","U.S. Department of Agriculture","U.S. Trade and Development Agency","B","2026-09-27",{"slug":173,"title":308,"shortTitle":309,"definition":310,"status":9,"industries":311,"functions":312,"patterns":314,"audience":29,"autonomy":316,"adoptionStage":31,"segment":317,"evidenceCount":318,"publicEvidenceCount":318,"organizations":319,"bestGrade":215,"headline":328,"lastVerified":331,"indexable":208},"AI supply chain risk and disruption monitoring","Supply chain risk monitoring","Supply chain disruption monitoring is AI that watches transport lanes, weather, strikes, ports and a manufacturer's own suppliers' suppliers for signs of a coming disruption. It turns scattered news and sensor signals into one validated alert per event, giving planners enough lead time to reroute, expedite or substitute before the disruption reaches production or the customer.",[20,19],[22,313,292],"operations",[315,24,296],"anomaly-detection","assist","supply-chain-risk",8,[320,321,322,323,324,325,326,327],"Andritz Group","Cisco","DuPont","Google","Medtronic","Schaeffler","Schneider Electric","ZF Friedrichshafen",{"kpi":41,"label":272,"unit":203,"n":273,"nUpTo":269,"kind":329,"value":71,"qualifier":330,"claimant":205,"organization":325,"vendorReported":208},"reported","at-least","2026-09-29",{"slug":174,"title":333,"shortTitle":334,"definition":335,"status":9,"industries":336,"functions":338,"patterns":341,"audience":343,"autonomy":344,"adoptionStage":31,"evidenceCount":345,"publicEvidenceCount":345,"organizations":346,"bestGrade":305,"headline":217,"lastVerified":306,"indexable":208},"AI spend classification and spend analytics for procurement","Spend classification","Spend classification is AI that reads purchase orders, invoices, card transactions and contracts and assigns each line of spend to a category, for procurement teams. It assigns spend to the organization's taxonomy and to the right supplier, so procurement can see what is bought, from whom and where to consolidate or negotiate.",[18,289,19,337],"healthcare",[22,339,340],"finance-and-accounting","analytics-and-reporting",[342,295,296],"classification-and-routing","back-office","supervised-agent",4,[347,301,303,348],"U.S. General Services Administration","Veterans Health Administration",{"slug":175,"title":350,"shortTitle":351,"definition":352,"status":9,"industries":353,"functions":355,"patterns":357,"audience":29,"autonomy":30,"adoptionStage":31,"evidenceCount":359,"publicEvidenceCount":360,"organizations":361,"bestGrade":305,"headline":217,"lastVerified":306,"indexable":208},"AI assistant for procurement and supplier contract review","Procurement and contract review","Procurement and contract review is an assistant that reads supplier contracts and proposals, for procurement and vendor management teams. It extracts the key terms, flags deviations from the organization's standard positions, drafts requests for proposal and evaluation matrices, and prepares negotiation positions, with a procurement or legal owner approving every conclusion.",[18,287,289,354,19],"retail-and-ecommerce",[22,356,339],"legal",[295,26,358,25],"content-generation",10,9,[362,363,364,301,365,366,367,368],"Bridgewater Associates","General Services Administration","Administration for Children and Families","Pension Benefit Guaranty Corporation","Pacific Northwest National Laboratory","Technology Common Services Center","Walmart",{"indexable":208,"reasons":370},[],[372,378,383,389,394,401,407,414,422,429,436,442,448,455,462,468,474,480,487,492,497,504,510,517,522,527,532,537,543,549,556,561,567,573,580,585],{"id":141,"label":373,"issuer":374,"region":189,"url":375,"description":376,"useCases":377,"indexable":208},"EU AI Act","European Union","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.",275,{"id":142,"label":379,"issuer":374,"region":189,"url":380,"description":381,"useCases":382,"indexable":208},"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.",246,{"id":143,"label":384,"issuer":385,"region":247,"url":386,"description":387,"useCases":388,"indexable":208},"ISO\u002FIEC 42001","ISO and IEC","https:\u002F\u002Fwww.iso.org\u002Fstandard\u002F81230.html","The international management system standard for AI.",143,{"id":144,"label":390,"issuer":391,"region":149,"url":150,"description":392,"useCases":393,"indexable":208},"NIST AI Risk Management Framework","NIST","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",110,{"id":395,"label":396,"issuer":397,"region":189,"url":398,"description":399,"useCases":400,"indexable":208},"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.",81,{"id":402,"label":403,"issuer":374,"region":189,"url":404,"description":405,"useCases":406,"indexable":208},"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.",72,{"id":408,"label":409,"issuer":410,"region":189,"url":411,"description":412,"useCases":413,"indexable":208},"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.",51,{"id":415,"label":416,"issuer":417,"region":418,"url":419,"description":420,"useCases":421,"indexable":208},"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":423,"label":424,"issuer":425,"region":418,"url":426,"description":427,"useCases":428,"indexable":208},"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":430,"label":431,"issuer":432,"region":149,"url":433,"description":434,"useCases":435,"indexable":208},"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.",23,{"id":437,"label":438,"issuer":374,"region":189,"url":439,"description":440,"useCases":441,"indexable":208},"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.",22,{"id":443,"label":444,"issuer":445,"region":247,"url":446,"description":447,"useCases":441,"indexable":208},"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":449,"label":450,"issuer":451,"region":189,"url":452,"description":453,"useCases":454,"indexable":208},"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":456,"label":457,"issuer":458,"region":149,"url":459,"description":460,"useCases":461,"indexable":208},"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.",17,{"id":463,"label":464,"issuer":465,"region":247,"url":466,"description":467,"useCases":57,"indexable":208},"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":469,"label":470,"issuer":374,"region":189,"url":471,"description":472,"useCases":473,"indexable":208},"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":475,"label":476,"issuer":477,"region":149,"url":478,"description":479,"useCases":473,"indexable":208},"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.",{"id":481,"label":482,"issuer":483,"region":149,"url":484,"description":485,"useCases":486,"indexable":208},"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":488,"label":489,"issuer":374,"region":189,"url":490,"description":491,"useCases":486,"indexable":208},"eu-accessibility-act","European Accessibility Act","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2019\u002F882\u002Foj","Directive (EU) 2019\u002F882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",{"id":493,"label":494,"issuer":374,"region":189,"url":495,"description":496,"useCases":486,"indexable":208},"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":498,"label":499,"issuer":500,"region":149,"url":501,"description":502,"useCases":503,"indexable":208},"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":505,"label":506,"issuer":507,"region":247,"url":508,"description":509,"useCases":503,"indexable":208},"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":511,"label":512,"issuer":513,"region":189,"url":514,"description":515,"useCases":516,"indexable":208},"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":518,"label":519,"issuer":374,"region":189,"url":520,"description":521,"useCases":516,"indexable":208},"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":523,"label":524,"issuer":374,"region":189,"url":525,"description":526,"useCases":516,"indexable":208},"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":528,"label":529,"issuer":417,"region":418,"url":530,"description":531,"useCases":359,"indexable":208},"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":533,"label":534,"issuer":374,"region":189,"url":535,"description":536,"useCases":359,"indexable":208},"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":538,"label":539,"issuer":540,"region":149,"url":541,"description":542,"useCases":318,"indexable":208},"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":544,"label":545,"issuer":374,"region":189,"url":546,"description":547,"useCases":548,"indexable":208},"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.",7,{"id":550,"label":551,"issuer":552,"region":553,"url":554,"description":555,"useCases":298,"indexable":208},"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":557,"label":558,"issuer":374,"region":189,"url":559,"description":560,"useCases":345,"indexable":208},"eu-mortgage-credit-directive","EU Mortgage Credit Directive","https:\u002F\u002Feur-lex.europa.eu\u002Feli\u002Fdir\u002F2014\u002F17\u002Foj","Directive 2014\u002F17\u002FEU: creditworthiness assessment, disclosure and advice rules for residential mortgage lending.",{"id":562,"label":563,"issuer":564,"region":189,"url":565,"description":566,"useCases":345,"indexable":208},"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":568,"label":569,"issuer":570,"region":189,"url":571,"description":572,"useCases":345,"indexable":208},"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":574,"label":575,"issuer":576,"region":418,"url":577,"description":578,"useCases":579,"indexable":208},"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.",3,{"id":581,"label":582,"issuer":374,"region":189,"url":583,"description":584,"useCases":579,"indexable":208},"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":586,"label":587,"issuer":588,"region":149,"url":589,"description":590,"useCases":579,"indexable":208},"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.",1791904361435]