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Unlike fraud scoring, which stops payments the customer did not make, it protects customers from payments they are being manipulated into making.","published",[65,66],"banking","payments",[68,69],"fraud-prevention","customer-service",[71,72,73,74],"conversational-agent","prediction-and-scoring","agentic-workflow","voice-agent","customer-facing","supervised-agent","early-adopters","front-office",6,[81,82,83,25,35,84],"Commonwealth Bank of 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for application and identity fraud detection","Application and identity fraud","AI that checks incoming account and loan applications for forged or AI generated documents, synthetic and stolen identities, and coordinated application rings, by analysing documents, device and application data across the whole queue and cross checking against bureau and official sources.",[65,66,101,102,103],"cross-industry","government","telecommunications",[68,105,106],"onboarding-and-kyc","lending-and-credit",[108,109,110,72],"document-processing","anomaly-detection","computer-vision","back-office",[113,114,115,55,116,117],"BCU","Close Brothers Motor Finance","CNG 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benefits agency decide which claims, payments and recipients to check for fraud or error, so that caseworkers verify the riskiest cases first, while every decision on entitlement stays with a person and the model is tested for fairness before and during use.",[102],[68,131,132],"citizen-services","case-management",[72,109],"assist",[136,55,137,138,139],"Centers for Medicare and Medicaid Services","Gemeente Rotterdam","U.S. Department of the Treasury, Bureau of the Fiscal Service","Uitvoeringsinstituut Werknemersverzekeringen (UWV)",{"kpi":5,"label":6,"unit":43,"n":20,"nUpTo":15,"kind":86,"value":46,"qualifier":26,"claimant":37,"organization":55,"vendorReported":11},"2026-09-27",{"kpi":5,"label":6,"unit":43,"aggregate":8,"higherIsBetter":8,"n":20,"nUpTo":15,"median":46,"min":46,"max":46,"byClaimant":143,"vendorOnly":11,"points":144},{"organization":20,"vendor":15,"regulator":15,"independent":15},[145],{"evidenceId":54,"organization":55,"value":46,"qualifier":26,"claimant":37,"grade":38,"pooled":8},{"useCase":147,"benchmark":175},{"slug":148,"title":149,"shortTitle":150,"definition":151,"status":63,"industries":152,"functions":154,"patterns":158,"audience":162,"autonomy":163,"adoptionStage":77,"evidenceCount":79,"publicEvidenceCount":47,"organizations":164,"bestGrade":38,"headline":169,"lastVerified":141,"indexable":8},"aiops-incident-triage","AI for IT incident triage and root cause analysis (AIOps)","AIOps incident triage","AI that turns a flood of monitoring alerts into one probable incident, routes it to the right team, proposes likely root causes and remediation from runbooks and past incidents, and drafts the stakeholder updates and the post incident review, while an engineer authorizes every change.",[101,65,153,103,66],"technology",[155,156,157],"it-and-engineering","operations","risk-management",[109,159,160,161,73],"classification-and-routing","summarization","rag-knowledge-assistant","employee-facing","copilot",[165,166,167,168,41],"Google","Meta","Microsoft","Mizuho Financial Group",{"kpi":170,"label":171,"unit":7,"n":21,"nUpTo":15,"kind":172,"value":173,"qualifier":26,"claimant":174,"organization":174,"vendorReported":11},"accuracy","Accuracy","median",90,null,{"kpi":5,"label":6,"unit":7,"aggregate":8,"higherIsBetter":8,"n":20,"nUpTo":15,"median":17,"min":17,"max":17,"byClaimant":176,"vendorOnly":8,"points":177},{"organization":15,"vendor":20,"regulator":15,"independent":15},[178],{"evidenceId":40,"organization":41,"value":17,"qualifier":26,"claimant":27,"grade":28,"pooled":8},{"useCase":180,"benchmark":197},{"slug":181,"title":182,"shortTitle":183,"definition":184,"status":63,"industries":185,"functions":186,"patterns":187,"audience":111,"autonomy":76,"adoptionStage":77,"evidenceCount":14,"publicEvidenceCount":14,"organizations":188,"bestGrade":38,"headline":192,"lastVerified":141,"indexable":8},"merchant-underwriting-and-risk-monitoring","AI for merchant underwriting and risk monitoring","Merchant underwriting and monitoring","AI that helps acquirers, payment facilitators and software platforms with embedded payments decide which merchants to accept and on what terms, by checking what a business really sells and how risky it is at onboarding, and then watches every active merchant for changes in behaviour, ranking the few that need an analyst so fraud, prohibited trade and credit losses are caught early.",[66,153,65],[105,68,157],[72,109,159,160,73],[189,190,52,191],"Airwallex","Tekmetric","Weave Communications",{"kpi":193,"label":194,"unit":7,"n":44,"nUpTo":15,"kind":86,"value":195,"qualifier":196,"claimant":27,"organization":191,"vendorReported":8},"alert-volume-reduction","Alert volume reduction",89,"approximately",{"kpi":5,"label":6,"unit":43,"aggregate":8,"higherIsBetter":8,"n":20,"nUpTo":15,"median":47,"min":47,"max":47,"byClaimant":198,"vendorOnly":11,"points":199},{"organization":20,"vendor":15,"regulator":15,"independent":15},[200],{"evidenceId":51,"organization":52,"value":47,"qualifier":26,"claimant":37,"grade":38,"pooled":8},{"useCase":202,"benchmark":215},{"slug":203,"title":204,"shortTitle":205,"definition":206,"status":63,"industries":207,"functions":208,"patterns":211,"audience":111,"autonomy":76,"adoptionStage":77,"segment":212,"evidenceCount":14,"publicEvidenceCount":14,"organizations":213,"bestGrade":38,"headline":214,"lastVerified":141,"indexable":8},"telecom-fraud-detection","AI for telecom fraud detection (SIM swap, IRSF and Wangiri)","Telecom fraud detection","AI that protects the operator's own network, revenue and numbers from fraud: it watches call, messaging, roaming and account activity to detect SIM swap and port out takeovers, international revenue share fraud (IRSF) and Wangiri one ring scams, blocks or flags them in real time, and shares risk signals with banks and other businesses that rely on the phone number for security. Scam calls aimed at subscribers are handled by call blocking.",[103],[68,209,210],"network-operations","security-operations",[109,72,159],"customer-protection",[117,35],{"kpi":5,"label":6,"unit":7,"n":20,"nUpTo":15,"kind":86,"value":36,"qualifier":26,"claimant":37,"organization":35,"vendorReported":11},{"kpi":5,"label":6,"unit":7,"aggregate":8,"higherIsBetter":8,"n":20,"nUpTo":15,"median":36,"min":36,"max":36,"byClaimant":216,"vendorOnly":11,"points":217},{"organization":20,"vendor":15,"regulator":15,"independent":15},[218],{"evidenceId":34,"organization":35,"value":36,"qualifier":26,"claimant":37,"grade":38,"pooled":8},{"useCase":220,"benchmark":239},{"slug":221,"title":222,"shortTitle":223,"definition":224,"status":63,"industries":225,"functions":226,"patterns":227,"audience":111,"autonomy":228,"adoptionStage":229,"segment":230,"evidenceCount":231,"publicEvidenceCount":231,"organizations":232,"bestGrade":38,"headline":236,"lastVerified":141,"indexable":8},"real-time-fraud-scoring","Real time fraud scoring for card and instant payments","Real time fraud scoring","Machine learning that decides in milliseconds, without any conversation, how likely each card authorization and account to account payment is to be fraudulent, combining behavioural, device and network signals, so the bank can approve, challenge or block a payment before the money leaves. Working the resulting alerts and talking to the customer about them are separate use cases.",[65,66],[68],[72,109],"autonomous","mainstream","middle-office",9,[233,81,82,31,234,83,235,52],"ANZ, Commonwealth Bank, NAB, Suncorp Bank and Westpac (BioCatch Trust Australia)","Pay.UK","Stripe",{"kpi":237,"label":238,"unit":7,"n":21,"nUpTo":15,"kind":172,"value":36,"qualifier":26,"claimant":37,"organization":174,"vendorReported":11},"fraud-loss-reduction","Fraud loss reduction",{"kpi":5,"label":6,"unit":7,"aggregate":8,"higherIsBetter":8,"n":20,"nUpTo":15,"median":32,"min":32,"max":32,"byClaimant":240,"vendorOnly":8,"points":241},{"organization":15,"vendor":20,"regulator":15,"independent":15},[242],{"evidenceId":30,"organization":31,"value":32,"qualifier":26,"claimant":27,"grade":28,"pooled":8},[244,247,250,253,254,255,258,261,262,265,266,269,272,275,278,279,282,285,288,289,292,295,298],{"slug":245,"title":246},"clinical-trial-patient-matching","AI clinical trial patient matching and prescreening",{"slug":248,"title":249},"credit-early-warning-monitoring","AI early warning and covenant monitoring for loan portfolios",{"slug":251,"title":252},"aml-alert-triage","AI for AML transaction monitoring alert triage",{"slug":96,"title":97},{"slug":125,"title":126},{"slug":256,"title":257},"fee-and-interest-leakage-detection","AI for fee and interest leakage detection",{"slug":259,"title":260},"claims-fraud-detection","AI for insurance claims fraud detection",{"slug":148,"title":149},{"slug":263,"title":264},"market-abuse-surveillance-triage","AI for market abuse surveillance alert triage",{"slug":181,"title":182},{"slug":267,"title":268},"mule-network-detection","AI for money mule account and network detection",{"slug":270,"title":271},"predictive-network-maintenance","AI for predictive network maintenance in telecom",{"slug":273,"title":274},"inspection-prioritization","AI for risk based inspection prioritization in food safety, workplace and environmental regulation",{"slug":276,"title":277},"tax-compliance-risk-scoring","AI for tax compliance risk scoring and audit selection",{"slug":203,"title":204},{"slug":280,"title":281},"industrial-asset-predictive-maintenance","AI predictive maintenance for industrial and energy assets",{"slug":283,"title":284},"radiology-worklist-triage","AI prioritization of radiology and imaging worklists",{"slug":286,"title":287},"production-line-quality-inspection","AI quality inspection on the production line",{"slug":59,"title":60},{"slug":290,"title":291},"trade-finance-crime-screening","AI screening of trade finance transactions for trade based money laundering",{"slug":293,"title":294},"emergency-call-triage-support","AI support for emergency call triage (112 and 911)",{"slug":296,"title":297},"dynamic-customer-risk-rating","Dynamic AML customer risk rating with machine learning",{"slug":221,"title":222},1790598318042]