[{"data":1,"prerenderedAt":742},["ShallowReactive",2],{"uc-hub-industry-payments":3},{"type":4,"typeLabel":5,"term":6,"includeUnpublished":10,"indexable":11,"stats":12,"useCases":23,"benchmarks":650,"topIndustries":651,"topFunctions":652,"topPatterns":670,"stageMix":691,"regionMix":702,"organizations":711,"other":712},"industry","Industry",{"id":7,"label":8,"description":9},"payments","Payments and cards","Card issuers, acquirers, schemes, wallets and payment processors, where AI works on disputes, fraud, authorization and merchant service.",false,true,{"useCases":13,"publicDeployments":14,"blitsAiDeployments":15,"organizations":16,"countries":17,"outcomeDisclosureRate":18,"gradeMix":19},40,22,2,16,6,64,{"A":20,"B":21,"C":22,"D":20},0,14,8,[24,58,75,102,125,157,175,187,205,220,232,241,254,274,291,307,321,339,350,369,389,404,414,428,441,458,471,487,499,511,529,541,551,563,574,588,603,615,627,637],{"slug":25,"title":26,"shortTitle":27,"definition":28,"status":29,"industries":30,"functions":32,"patterns":35,"audience":40,"autonomy":41,"adoptionStage":42,"segment":43,"evidenceCount":44,"publicEvidenceCount":15,"organizations":45,"bestGrade":48,"headline":49,"lastVerified":57,"indexable":11},"account-and-card-servicing-agent","AI agent for account and card servicing","Account and card servicing","An AI agent that resolves routine account and card requests end to end, such as balances, statements, card blocks and replacements, PIN resets and limit changes, across app, web, messaging and phone, and hands anything sensitive or unusual to a human with the full context.","published",[31,7],"banking",[33,34],"customer-service","operations",[36,37,38,39],"conversational-agent","voice-agent","agentic-workflow","rag-knowledge-assistant","customer-facing","supervised-agent","mainstream","front-office",4,[46,47],"Commonwealth Bank of Australia","DBS Bank","B",{"kpi":50,"label":51,"unit":52,"n":15,"nUpTo":20,"kind":53,"value":54,"qualifier":55,"claimant":56,"organization":47,"vendorReported":10},"containment-rate","Containment rate","percent","reported",90,"approximately","organization","2026-09-27",{"slug":59,"title":60,"shortTitle":61,"definition":62,"status":29,"industries":63,"functions":64,"patterns":66,"audience":40,"autonomy":41,"adoptionStage":69,"segment":43,"evidenceCount":44,"publicEvidenceCount":70,"organizations":71,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"card-dispute-and-chargeback-intake","AI agent for card dispute intake","Card dispute intake","A customer facing AI agent that handles the \"I do not recognise this charge\" moment: it finds the transaction, separates suspected fraud from merchant disputes and simple confusion, explains the customer's rights and timelines, collects the details and evidence the rules require, and opens a correctly classified dispute case for the operations team.",[31,7],[33,65,34],"fraud-prevention",[36,37,67,68,38],"classification-and-routing","document-processing","early-adopters",3,[46,72,73],"Klarna","Visa",null,{"slug":76,"title":77,"shortTitle":78,"definition":79,"status":29,"industries":80,"functions":84,"patterns":87,"audience":90,"autonomy":91,"adoptionStage":69,"segment":92,"evidenceCount":15,"publicEvidenceCount":15,"organizations":93,"bestGrade":48,"headline":96,"lastVerified":57,"indexable":11},"complaints-handling-agent","AI agent for complaints recognition, investigation and response","Complaints handling","An AI agent that recognizes when a customer interaction is a complaint, logs it against the regulatory definition, classifies its root cause and severity, gathers the evidence, drafts the acknowledgement and the response for a human handler to approve, and tracks every statutory deadline until the case is closed.",[81,31,7,82,83],"cross-industry","insurance","telecommunications",[85,33,86],"case-management","regulatory-compliance",[67,88,89,38,39],"summarization","content-generation","employee-facing","copilot","middle-office",[94,95],"Lloyds Banking Group","NatWest Group",{"kpi":97,"label":98,"unit":99,"n":100,"nUpTo":20,"kind":53,"value":101,"qualifier":55,"claimant":56,"organization":94,"vendorReported":10},"time-saved-per-task","Time saved per task","minutes",1,5,{"slug":103,"title":104,"shortTitle":105,"definition":106,"status":29,"industries":107,"functions":111,"patterns":113,"audience":40,"autonomy":41,"adoptionStage":69,"segment":114,"evidenceCount":70,"publicEvidenceCount":15,"organizations":115,"bestGrade":118,"headline":119,"lastVerified":57,"indexable":11},"collections-and-hardship-agent","AI agent for early collections and hardship support","Collections and hardship agent","A voice and messaging agent that contacts customers in early arrears and answers their inbound calls, takes payments and sets up payment arrangements within preapproved rules, and recognises signs of hardship or vulnerability so those customers go straight to a trained person.",[81,31,7,83,108,109,110],"energy-and-utilities","automotive","professional-services",[112,33],"collections-and-recovery",[37,36,38,67],"lending",[116,117],"Day Knight & Associates","SameDay Auto Finance","C",{"kpi":120,"label":121,"unit":52,"n":15,"nUpTo":20,"kind":53,"value":122,"qualifier":123,"claimant":124,"organization":117,"vendorReported":11},"cost-reduction","Cost reduction",75,"exact","vendor",{"slug":126,"title":127,"shortTitle":128,"definition":129,"status":29,"industries":130,"functions":134,"patterns":135,"audience":40,"autonomy":41,"adoptionStage":42,"segment":43,"evidenceCount":136,"publicEvidenceCount":137,"organizations":138,"bestGrade":48,"headline":153,"lastVerified":57,"indexable":11},"first-line-contact-centre-agent","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.",[81,31,7,83,131,132,133],"travel-and-hospitality","retail-and-ecommerce","wealth-and-asset-management",[33],[36,37,39,67],25,18,[139,140,141,142,143,46,144,145,72,146,147,95,148,149,150,151,152],"Air India","Airbnb","Bank of America","Bank of the Philippine Islands","BT Group","Ingka Group","JetBlue","Lufthansa Group","Mobily","Pegasus Airlines","Telkomsel","Together Credit Union","Vodafone Germany","Vodafone",{"kpi":50,"label":51,"unit":52,"n":154,"nUpTo":20,"kind":155,"value":156,"qualifier":123,"claimant":74,"organization":74,"vendorReported":10},7,"median",47,{"slug":158,"title":159,"shortTitle":160,"definition":161,"status":29,"industries":162,"functions":163,"patterns":164,"audience":40,"autonomy":41,"adoptionStage":165,"segment":43,"evidenceCount":101,"publicEvidenceCount":101,"organizations":166,"bestGrade":48,"headline":171,"lastVerified":57,"indexable":11},"fraud-alert-confirmation","AI agent for fraud alert confirmation with cardholders","Fraud alert confirmation","A customer facing AI agent that contacts the cardholder as soon as the fraud engine flags a card transaction, in the channel they actually respond to, verifies them, asks whether they made the transaction and acts on the answer: releasing the block so a retry succeeds, or freezing the card and starting the fraud claim.",[31,7],[65,33],[36,37,38],"emerging",[167,46,168,169,170],"Capital One","Macquarie Bank","Revolut","Westpac",{"kpi":172,"label":173,"unit":52,"n":15,"nUpTo":20,"kind":53,"value":174,"qualifier":123,"claimant":56,"organization":46,"vendorReported":10},"fraud-loss-reduction","Fraud loss reduction",76,{"slug":176,"title":177,"shortTitle":178,"definition":179,"status":29,"industries":180,"functions":181,"patterns":182,"audience":90,"autonomy":41,"adoptionStage":69,"segment":92,"evidenceCount":70,"publicEvidenceCount":15,"organizations":184,"bestGrade":118,"headline":74,"lastVerified":57,"indexable":11},"fraud-alert-triage","AI agent for fraud alert triage","Fraud alert triage","An AI agent that works the fraud alert queue behind the scenes as the analyst's first pass, without contacting the customer: it enriches each alert with customer, device and payment context, closes clear false positives under documented rules, merges duplicates, and routes genuine risk to an analyst with a drafted rationale.",[31,7],[65,34],[38,67,88,183],"prediction-and-scoring",[185,186],"Coast","SEB",{"slug":188,"title":189,"shortTitle":190,"definition":191,"status":29,"industries":192,"functions":193,"patterns":194,"audience":40,"autonomy":41,"adoptionStage":42,"evidenceCount":101,"publicEvidenceCount":101,"organizations":195,"bestGrade":48,"headline":200,"lastVerified":204,"indexable":11},"order-status-and-returns-agent","AI agent for order status, delivery changes and returns","Order status and returns","An AI agent that answers \"where is my order\", changes delivery details and arranges returns, exchanges and refunds end to end for online and omnichannel shoppers, by reading and writing to the order, carrier and returns systems within the retailer's policy, and hands exceptions such as damaged goods, disputes and upset customers to a person.",[81,132,7],[33,34],[36,38,37,39],[196,197,72,198,199],"BARK","Best Buy","Next","Sun & Ski Sports",{"kpi":201,"label":202,"unit":52,"n":15,"nUpTo":20,"kind":53,"value":203,"qualifier":123,"claimant":124,"organization":196,"vendorReported":11},"customer-satisfaction","Customer satisfaction",98,"2026-09-26",{"slug":206,"title":207,"shortTitle":208,"definition":209,"status":29,"industries":210,"functions":211,"patterns":213,"audience":40,"autonomy":41,"adoptionStage":165,"segment":43,"evidenceCount":22,"publicEvidenceCount":154,"organizations":214,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"agentic-payment-initiation","AI agent for payment initiation within a customer mandate","Agentic payment initiation","An AI agent that initiates and completes payments or purchases on a customer's behalf, within a mandate the customer set in advance (spending caps, allowed merchants or categories, a tokenized credential and rules for when to ask for confirmation), and then confirms and reconciles every transaction it made.",[7,31,132],[33,212,34],"sales",[38,36],[47,215,216,217,218,219,73],"ING","Majid Al Futtaim","PayPal","Banco Santander","Ulta Beauty",{"slug":221,"title":222,"shortTitle":223,"definition":224,"status":29,"industries":225,"functions":226,"patterns":228,"audience":40,"autonomy":230,"adoptionStage":42,"segment":43,"evidenceCount":22,"publicEvidenceCount":70,"organizations":231,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"offers-and-rewards-agent","AI agent for personalized offers and rewards","Offers and rewards","A customer facing AI agent for banks and card issuers that picks the offer, reward or loyalty action most relevant to each customer at each moment from their transactions and context, delivers it in the app, in messaging or through a colleague, and helps the customer understand, track and redeem rewards in conversation. Unlike campaign personalization, it works inside the customer's own account and loyalty relationship, one moment at a time.",[31,7],[227,212,33],"marketing",[229,183,36],"recommendation-and-personalization","autonomous",[141,46,47],{"slug":233,"title":234,"shortTitle":235,"definition":236,"status":29,"industries":237,"functions":238,"patterns":239,"audience":40,"autonomy":41,"adoptionStage":165,"segment":43,"evidenceCount":70,"publicEvidenceCount":70,"organizations":240,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"proactive-outbound-engagement-agent","AI agent for proactive customer outreach, activation and retention","Proactive outreach and activation","An AI agent that holds the conversation when a bank reaches out first to change something about the customer's account or products, triggered by an event or a campaign: low balance and fee avoidance alerts, payment and renewal reminders, card activation, dormant account reactivation and offers the customer already qualifies for, over messaging or voice, while the bank's own systems decide who is contacted and why. Reminders about appointments and deliveries the customer booked, and the in app coach the customer opens, are separate use cases.",[31,7],[227,212,33],[36,37,38,229],[141,167,46],{"slug":242,"title":243,"shortTitle":244,"definition":245,"status":29,"industries":246,"functions":247,"patterns":248,"audience":40,"autonomy":41,"adoptionStage":69,"segment":249,"evidenceCount":101,"publicEvidenceCount":15,"organizations":250,"bestGrade":48,"headline":251,"lastVerified":57,"indexable":11},"corporate-client-servicing-assistant","AI assistant for corporate and commercial client servicing","Corporate client servicing","A conversational assistant inside the corporate banking portal, app and messaging channels that answers finance and treasury teams' servicing questions, such as payment status, balances, cut off times, fees and how to submit an instruction, resolves routine requests end to end and hands the rest to a service specialist who has an AI copilot.",[31,7],[33,34],[36,39,38,88],"specialized-businesses",[141,47],{"kpi":252,"label":253,"unit":52,"n":100,"nUpTo":20,"kind":53,"value":16,"qualifier":123,"claimant":56,"organization":141,"vendorReported":10},"contact-deflection","Contact deflection",{"slug":255,"title":256,"shortTitle":257,"definition":258,"status":29,"industries":259,"functions":261,"patterns":264,"audience":40,"autonomy":266,"adoptionStage":69,"segment":249,"evidenceCount":44,"publicEvidenceCount":44,"organizations":267,"bestGrade":48,"headline":272,"lastVerified":57,"indexable":11},"developer-api-integration-assistant","AI assistant for developers integrating a company's APIs","API integration assistant","An AI assistant on a developer portal and in its documentation that answers integration questions, recommends the right endpoints, helps debug connections and generates sample calls, grounded in the API catalogue, reference docs and test material, so clients and partners integrate faster with fewer support tickets.",[81,31,7,260],"technology",[262,33,263],"it-and-engineering","onboarding-and-kyc",[39,36,265],"code-generation","assist",[268,269,270,271],"CircleCI","Mapbox","monday.com","U.S. Bank",{"kpi":252,"label":253,"unit":52,"n":100,"nUpTo":20,"kind":53,"value":273,"qualifier":123,"claimant":56,"organization":269,"vendorReported":10},30,{"slug":275,"title":276,"shortTitle":277,"definition":278,"status":29,"industries":279,"functions":280,"patterns":281,"audience":40,"autonomy":41,"adoptionStage":69,"segment":43,"evidenceCount":17,"publicEvidenceCount":70,"organizations":283,"bestGrade":118,"headline":287,"lastVerified":57,"indexable":11},"digital-onboarding-assistant","AI assistant for digital account onboarding and KYC","Digital onboarding","A customer facing AI assistant that guides a new applicant, a person or a small merchant, through a digital account, card or relationship application: it collects and checks identity and supporting documents, orchestrates the know your customer and anti money laundering checks, prefills what it can and sends only the unclear cases to a human reviewer with a summary. The ownership research for complex corporate clients is a separate back office job.",[31,7,133],[263,212,33],[36,68,282,38],"computer-vision",[284,285,286],"Albo","Deutsche Bank","M-DAQ Global",{"kpi":288,"label":289,"unit":290,"n":100,"nUpTo":20,"kind":53,"value":273,"qualifier":123,"claimant":124,"organization":286,"vendorReported":11},"productivity-gain","Productivity gain","multiplier",{"slug":292,"title":293,"shortTitle":294,"definition":295,"status":29,"industries":296,"functions":298,"patterns":300,"audience":90,"autonomy":91,"adoptionStage":69,"evidenceCount":101,"publicEvidenceCount":70,"organizations":302,"bestGrade":48,"headline":305,"lastVerified":57,"indexable":11},"marketing-content-compliance-copilot","AI copilot for marketing content with compliance pre review","Marketing content and compliance","A copilot that drafts campaign copy, product explainers and social posts on brand and in the customer's language from approved product facts, then runs a first pass compliance check against advertising rules and required disclosures, flagging unsupported claims and missing warnings before a human in marketing compliance approves publication.",[81,31,82,7,133,297],"pharma-and-life-sciences",[227,86,299],"legal",[89,39,67,301],"translation",[303,304,72],"Ally Financial","JPMorgan Chase",{"kpi":288,"label":289,"unit":52,"n":100,"nUpTo":20,"kind":53,"value":306,"qualifier":123,"claimant":56,"organization":303,"vendorReported":10},34,{"slug":308,"title":309,"shortTitle":310,"definition":311,"status":29,"industries":312,"functions":313,"patterns":315,"audience":90,"autonomy":91,"adoptionStage":165,"segment":92,"evidenceCount":44,"publicEvidenceCount":44,"organizations":316,"bestGrade":48,"headline":74,"lastVerified":204,"indexable":11},"suspicious-activity-report-drafting","AI copilot for SAR and STR narrative drafting","SAR and STR drafting","Generative AI that drafts the narrative of a single suspicious activity or suspicious transaction report from the investigation file (who, what, when, where, why and how), with every fact linked to its source record, so the investigator verifies, edits and files instead of starting from a blank page. It works case by case, unlike the periodic data returns of regulatory reporting.",[31,7],[314,85],"financial-crime-compliance",[89,88,39,38],[317,318,319,320],"Finshark","BMO and Amalgamated Bank","Nexo","Uphold",{"slug":322,"title":323,"shortTitle":324,"definition":325,"status":29,"industries":326,"functions":327,"patterns":331,"audience":332,"autonomy":41,"adoptionStage":69,"segment":114,"evidenceCount":101,"publicEvidenceCount":101,"organizations":333,"bestGrade":48,"headline":74,"lastVerified":204,"indexable":11},"alternative-data-credit-scoring","AI credit scoring with alternative data for thin file applicants","Alternative data credit scoring","A machine learning credit model that adds consumer permissioned alternative data, such as bank account cash flow, rent, utility and telco payments or ecosystem data, to credit bureau data, so a lender can assess applicants with thin or no credit files and return a decision with specific reasons.",[31,7],[328,329,330],"lending-and-credit","underwriting","risk-management",[183,68,36],"back-office",[334,335,336,337,338],"Atlanticus","Golden 1 Credit Union","GXS Bank","Patelco Credit Union","Upstart Network",{"slug":340,"title":341,"shortTitle":342,"definition":343,"status":29,"industries":344,"functions":345,"patterns":346,"audience":90,"autonomy":91,"adoptionStage":165,"segment":114,"evidenceCount":15,"publicEvidenceCount":15,"organizations":347,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"adverse-action-explanations","AI drafted explanations for credit declines and adverse actions","Adverse action explanations","An assistant that turns the reason codes of a credit model into an accurate, specific and readable explanation of a decline, reduced limit or repricing for the customer, and a matching internal rationale for the file, without adding any reason the model did not produce.",[31,7],[328,86,33],[89,39,36],[348,349],"Discover Financial Services","Wells Fargo",{"slug":351,"title":352,"shortTitle":353,"definition":354,"status":29,"industries":355,"functions":356,"patterns":357,"audience":90,"autonomy":41,"adoptionStage":69,"segment":92,"evidenceCount":22,"publicEvidenceCount":22,"organizations":359,"bestGrade":48,"headline":365,"lastVerified":57,"indexable":11},"aml-alert-triage","AI for AML transaction monitoring alert triage","AML alert triage","Machine learning and AI agents that score anti money laundering alerts for genuine risk, close clear false positives with a written and stored rationale, and hand investigators the remaining alerts already enriched with the customer, counterparty and transaction context.",[31,7],[314],[183,358,38,88],"anomaly-detection",[360,318,361,319,362,363,364,320],"Australia Post","HSBC","Ratepay","Shift4","United Overseas Bank (UOB)",{"kpi":366,"label":367,"unit":52,"n":15,"nUpTo":20,"kind":53,"value":368,"qualifier":123,"claimant":124,"organization":363,"vendorReported":11},"false-positive-reduction","False positive reduction",86,{"slug":370,"title":371,"shortTitle":372,"definition":373,"status":29,"industries":374,"functions":376,"patterns":377,"audience":332,"autonomy":41,"adoptionStage":69,"segment":43,"evidenceCount":17,"publicEvidenceCount":17,"organizations":378,"bestGrade":48,"headline":385,"lastVerified":204,"indexable":11},"application-and-identity-fraud-detection","AI 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.",[31,7,81,375,83],"government",[65,263,328],[68,358,282,183],[379,380,381,382,383,384],"BCU","Close Brothers Motor Finance","CNG Holdings","Department for Work and Pensions","Payoneer","Telstra",{"kpi":386,"label":387,"unit":290,"n":100,"nUpTo":20,"kind":53,"value":388,"qualifier":123,"claimant":56,"organization":382,"vendorReported":10},"detection-rate-improvement","Detection improvement",2.5,{"slug":390,"title":391,"shortTitle":392,"definition":393,"status":29,"industries":394,"functions":396,"patterns":397,"audience":332,"autonomy":41,"adoptionStage":165,"segment":249,"evidenceCount":70,"publicEvidenceCount":70,"organizations":398,"bestGrade":118,"headline":401,"lastVerified":57,"indexable":11},"business-onboarding-and-ubo-discovery","AI for business onboarding (KYB) and beneficial ownership discovery","Business onboarding and UBO","An AI agent that builds the know your business (KYB) due diligence file for a new or reviewed corporate client, before any account is opened: it collects registry, incorporation and ownership documents, resolves the entity across sources, maps the ownership chain through holding companies, nominees and trusts to the ultimate beneficial owners, screens the entity and its owners, and presents a risk scored case for a compliance analyst to decide.",[31,7,395],"capital-markets",[263,314],[68,38,67,88],[399,400,286],"BNY","Incore Bank",{"kpi":402,"label":403,"unit":52,"n":100,"nUpTo":20,"kind":53,"value":136,"qualifier":123,"claimant":56,"organization":399,"vendorReported":10},"automation-rate","Automation rate",{"slug":405,"title":406,"shortTitle":407,"definition":408,"status":29,"industries":409,"functions":410,"patterns":411,"audience":332,"autonomy":41,"adoptionStage":69,"segment":332,"evidenceCount":70,"publicEvidenceCount":15,"organizations":412,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"chargeback-and-representment","AI for chargeback and representment operations","Chargeback and representment","AI that runs the dispute engine room for issuers, acquirers and merchants: it maps each dispute to the network reason code, gathers the matching evidence, assembles a network compliant chargeback or representment package, drafts the rebuttal, tracks every deadline and processes pre dispute alerts so a refund can be issued before a chargeback lands.",[7,31,132],[34,65,33],[38,68,89,67],[413,73],"GitHub",{"slug":415,"title":416,"shortTitle":417,"definition":418,"status":29,"industries":419,"functions":420,"patterns":422,"audience":332,"autonomy":91,"adoptionStage":165,"segment":423,"evidenceCount":70,"publicEvidenceCount":70,"organizations":424,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"complaints-root-cause-analysis","AI for complaints root cause and systemic issue analysis","Complaints root cause analysis","AI that reads the free text of complaints across all channels, clusters them into themes, separates systemic causes from one off events, links each theme to the product, process or control behind it and routes the insight to the owner who can fix it, with a human validating every root cause and every remediation.",[81,31,82,7,83,375],[86,33,421],"analytics-and-reporting",[67,88,38,39],"second-line",[425,426,427],"Centers for Medicare and Medicaid Services","Board of Governors of the Federal Reserve System","Federal Trade Commission",{"slug":429,"title":430,"shortTitle":431,"definition":432,"status":29,"industries":433,"functions":434,"patterns":437,"audience":332,"autonomy":91,"adoptionStage":165,"segment":332,"evidenceCount":100,"publicEvidenceCount":100,"organizations":438,"bestGrade":48,"headline":74,"lastVerified":440,"indexable":11},"fee-and-interest-leakage-detection","AI for fee and interest leakage detection","Fee and interest leakage","An independent verification layer that recomputes what each fee, FX margin, spread and interest charge should have been under the contract and pricing tables, compares it with what was actually billed, and surfaces overcharges and undercharges account by account for correction, customer remediation and revenue recovery.",[31,7,81],[435,436,86,34],"finance-and-accounting","product-and-pricing",[358,38,39],[439],"State Bank of India","2026-09-28",{"slug":442,"title":443,"shortTitle":444,"definition":445,"status":29,"industries":446,"functions":447,"patterns":448,"audience":90,"autonomy":91,"adoptionStage":69,"evidenceCount":17,"publicEvidenceCount":101,"organizations":449,"bestGrade":48,"headline":455,"lastVerified":57,"indexable":11},"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.",[81,31,260,83,7],[262,34,330],[358,67,88,39,38],[450,451,452,453,454],"Google","Meta","Microsoft","Mizuho Financial Group","TD Bank",{"kpi":456,"label":457,"unit":52,"n":70,"nUpTo":20,"kind":155,"value":54,"qualifier":123,"claimant":74,"organization":74,"vendorReported":10},"accuracy","Accuracy",{"slug":459,"title":460,"shortTitle":461,"definition":462,"status":29,"industries":463,"functions":464,"patterns":465,"audience":332,"autonomy":41,"adoptionStage":69,"segment":332,"evidenceCount":44,"publicEvidenceCount":44,"organizations":466,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"ledger-and-payment-reconciliation","AI for ledger and payment reconciliation","Ledger and payment reconciliation","AI that matches entries across nostro and vostro statements, card and scheme settlement files, the general ledger and suspense accounts, proposes matches and clearing journals, and routes only the genuine breaks to an operator with a plain language explanation.",[31,7,395,81,133,375],[435,34],[38,358,68],[467,468,469,470],"Comrade Trustee Services","Ginnie Mae","National Bank of Greece (Cyprus)","World Food Programme",{"slug":472,"title":473,"shortTitle":474,"definition":475,"status":29,"industries":476,"functions":477,"patterns":478,"audience":332,"autonomy":41,"adoptionStage":69,"evidenceCount":44,"publicEvidenceCount":44,"organizations":479,"bestGrade":48,"headline":483,"lastVerified":57,"indexable":11},"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.",[7,260,31],[263,65,330],[183,358,67,88,38],[480,481,73,482],"Airwallex","Tekmetric","Weave Communications",{"kpi":484,"label":485,"unit":52,"n":15,"nUpTo":20,"kind":53,"value":486,"qualifier":55,"claimant":124,"organization":482,"vendorReported":11},"alert-volume-reduction","Alert volume reduction",89,{"slug":488,"title":489,"shortTitle":490,"definition":491,"status":29,"industries":492,"functions":493,"patterns":494,"audience":332,"autonomy":91,"adoptionStage":69,"segment":92,"evidenceCount":70,"publicEvidenceCount":70,"organizations":495,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"mule-network-detection","AI for money mule account and network detection","Mule network detection","Graph and behavioural machine learning that finds money mule accounts and the networks around them, such as circular flows, layering chains and clusters of newly linked accounts, and supports investigators in tracing scam proceeds and restricting accounts before the money is gone.",[31,7],[65,314],[358,183,38,88],[496,497,498],"BigPay","ANZ, Commonwealth Bank, NAB, Suncorp Bank and Westpac (BioCatch Trust Australia)","Reserve Bank Innovation Hub (Reserve Bank of India)",{"slug":500,"title":501,"shortTitle":502,"definition":503,"status":29,"industries":504,"functions":505,"patterns":506,"audience":332,"autonomy":41,"adoptionStage":165,"segment":332,"evidenceCount":15,"publicEvidenceCount":15,"organizations":507,"bestGrade":48,"headline":508,"lastVerified":57,"indexable":11},"payment-investigations-and-exceptions","AI for payment investigations and exceptions","Payment investigations and exceptions","AI that works the payments that fall out of straight through processing: it reads the failure, repairs or enriches the message, drafts the ISO 20022 or SWIFT investigation, chases the counterparty bank and proposes a return, recall or correction, while an operator approves anything that moves money.",[31,7],[34,33],[38,68,67,89],[399,304],{"kpi":402,"label":403,"unit":52,"n":100,"nUpTo":20,"kind":53,"value":509,"qualifier":510,"claimant":56,"organization":399,"vendorReported":10},10,"at-least",{"slug":512,"title":513,"shortTitle":514,"definition":515,"status":29,"industries":516,"functions":517,"patterns":518,"audience":90,"autonomy":91,"adoptionStage":69,"segment":92,"evidenceCount":154,"publicEvidenceCount":154,"organizations":519,"bestGrade":48,"headline":525,"lastVerified":57,"indexable":11},"pep-and-adverse-media-screening","AI for PEP and adverse media screening","PEP and adverse media screening","AI that continuously scans news, court records, registries and other open sources in many languages for negative information and political exposure linked to customers, counterparties and beneficial owners, discards look alikes, and summarises credible risk for the analyst with the sources attached.",[31,7,133],[314,263],[39,88,67,301],[285,361,520,521,522,523,524],"Mashreq","OCBC","Santander UK","Save the Children","Scotiabank",{"kpi":526,"label":527,"unit":52,"n":100,"nUpTo":100,"kind":53,"value":528,"qualifier":510,"claimant":124,"organization":523,"vendorReported":11},"handling-time-reduction","Handling time reduction",60,{"slug":530,"title":531,"shortTitle":532,"definition":533,"status":29,"industries":534,"functions":535,"patterns":536,"audience":332,"autonomy":41,"adoptionStage":165,"segment":92,"evidenceCount":101,"publicEvidenceCount":101,"organizations":537,"bestGrade":48,"headline":540,"lastVerified":204,"indexable":11},"perpetual-kyc","AI for perpetual KYC and event driven customer due diligence","Perpetual KYC","AI that keeps each customer's due diligence file current by replacing calendar driven KYC reviews with continuous, event driven refreshes: it watches for trigger events such as a change of ownership, address, behaviour or a new adverse finding, refreshes the file automatically where it can, and involves an analyst only when something material has changed. The risk rating itself and the first file for a new business client are separate use cases.",[31,7,133],[263,314],[38,68,39,88],[285,538,304,521,539],"First National Bank of Omaha (FNBO)","Origin Bank",{"kpi":120,"label":121,"unit":52,"n":100,"nUpTo":20,"kind":53,"value":13,"qualifier":123,"claimant":56,"organization":304,"vendorReported":10},{"slug":542,"title":543,"shortTitle":544,"definition":545,"status":29,"industries":546,"functions":547,"patterns":548,"audience":90,"autonomy":91,"adoptionStage":165,"segment":332,"evidenceCount":15,"publicEvidenceCount":15,"organizations":549,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"regulatory-report-assembly","AI for regulatory report assembly","Regulatory report assembly","AI that assembles periodic and data driven regulatory filings and returns, such as prudential and statistical returns, threshold and transaction reports and disclosure packs, by pulling data into the regulator's schema, validating it, reconciling figures to source, explaining movements against prior periods and drafting commentary, before a named officer reviews and submits. Narratives for individual suspicious activity cases are a separate use case.",[31,82,395,7],[86,435,314],[38,358,89,88],[426,550],"National Credit Union Administration",{"slug":552,"title":553,"shortTitle":554,"definition":555,"status":29,"industries":556,"functions":557,"patterns":558,"audience":332,"autonomy":41,"adoptionStage":69,"segment":92,"evidenceCount":154,"publicEvidenceCount":154,"organizations":559,"bestGrade":48,"headline":562,"lastVerified":204,"indexable":11},"sanctions-screening-adjudication","AI for sanctions screening alert adjudication","Sanctions screening adjudication","AI that works the alerts raised when customer, counterparty or payment names match sanctions and watchlists: it resolves fuzzy matches across transliterations, aliases and naming conventions, clears clear non matches with a documented reason, and escalates true or uncertain hits with the evidence attached.",[31,7],[314],[67,183,38],[560,538,361,520,362,561,364],"AJ Bell","Standard Chartered",{"kpi":366,"label":367,"unit":52,"n":100,"nUpTo":20,"kind":53,"value":528,"qualifier":123,"claimant":56,"organization":364,"vendorReported":10},{"slug":564,"title":565,"shortTitle":566,"definition":567,"status":29,"industries":568,"functions":569,"patterns":570,"audience":90,"autonomy":91,"adoptionStage":165,"segment":423,"evidenceCount":70,"publicEvidenceCount":70,"organizations":571,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"supervisory-exam-response-assembly","AI for supervisory exam and information request responses","Exam response assembly","An assistant for the bank's regulatory affairs team that reads a supervisory information request or exam question, retrieves the relevant evidence, policies and prior correspondence, drafts a response for legal and compliance to approve, and tracks every commitment and remediation action through to closure.",[31,82,395,7],[86,299,85],[39,89,68,38],[572,573],"U.S. Department of Homeland Security","Federal Emergency Management Agency",{"slug":575,"title":576,"shortTitle":577,"definition":578,"status":29,"industries":579,"functions":580,"patterns":582,"audience":90,"autonomy":91,"adoptionStage":69,"segment":423,"evidenceCount":44,"publicEvidenceCount":44,"organizations":583,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"vendor-due-diligence","AI for third party and vendor risk due diligence","Vendor due diligence","AI that reviews a vendor's security questionnaires, SOC and assurance reports, contracts and model documentation against the organization's control requirements, 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.",[81,31,82,375,7],[581,330,86],"procurement",[68,39,38,88],[584,585,586,587],"U.S. Department of Justice","Internal Revenue Service","U.S. Department of Agriculture","U.S. Trade and Development Agency",{"slug":589,"title":590,"shortTitle":591,"definition":592,"status":29,"industries":593,"functions":595,"patterns":597,"audience":90,"autonomy":266,"adoptionStage":69,"evidenceCount":44,"publicEvidenceCount":44,"organizations":598,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"internal-talent-marketplace-matching","AI internal talent marketplace for matching employees to projects, roles and mentors","Internal talent marketplace","An internal platform that uses AI to infer employees' skills and interests and recommend short term projects, open roles, mentors and learning to them, while showing managers which employees fit an opportunity, so that work is staffed from inside before hiring or contracting externally.",[81,594,7,375],"manufacturing",[596],"human-resources",[229,183],[599,600,601,602],"Federal Bureau of Prisons","Mastercard","Schneider Electric","Unilever",{"slug":604,"title":605,"shortTitle":606,"definition":607,"status":29,"industries":608,"functions":609,"patterns":610,"audience":90,"autonomy":266,"adoptionStage":69,"segment":611,"evidenceCount":44,"publicEvidenceCount":15,"organizations":612,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"regulatory-horizon-scanning","AI regulatory horizon scanning and obligation mapping","Regulatory horizon scanning","An AI system that continuously reads publications from the regulators and standard setters an organization answers to, classifies each item by relevance and urgency, breaks new rules into individual obligations and maps them to the internal policies and controls that meet them, so compliance owners see what changed and where the gaps are.",[81,31,82,7,133,297,375],[86,299,330],[67,68,39,88,38],"compliance",[613,614],"Financial Conduct Authority","Administration for Children and Families",{"slug":616,"title":617,"shortTitle":618,"definition":619,"status":29,"industries":620,"functions":621,"patterns":622,"audience":40,"autonomy":41,"adoptionStage":69,"segment":43,"evidenceCount":17,"publicEvidenceCount":17,"organizations":623,"bestGrade":48,"headline":625,"lastVerified":204,"indexable":11},"scam-payment-interception","AI scam intervention for instant payments","Scam payment interception","AI that talks to the customer when they are about to authorise an instant payment that looks like a scam: it combines the payee check and the risk score, asks targeted questions about the payment in plain language, explains the specific scam pattern, and holds, delays or escalates the payment to a human specialist when the risk stays high. Unlike fraud scoring, which stops payments the customer did not make, it protects customers from payments they are being manipulated into making.",[31,7],[65,33],[36,183,38,37],[46,600,169,624,152,170],"Starling Bank",{"kpi":386,"label":387,"unit":52,"n":15,"nUpTo":20,"kind":53,"value":626,"qualifier":123,"claimant":124,"organization":624,"vendorReported":11},300,{"slug":628,"title":629,"shortTitle":630,"definition":631,"status":29,"industries":632,"functions":633,"patterns":634,"audience":332,"autonomy":41,"adoptionStage":69,"segment":92,"evidenceCount":100,"publicEvidenceCount":100,"organizations":635,"bestGrade":48,"headline":74,"lastVerified":57,"indexable":11},"dynamic-customer-risk-rating","Dynamic AML customer risk rating with machine learning","Dynamic customer risk rating","Explainable machine learning that produces the money laundering risk rating itself: it computes and continuously updates each customer's rating from due diligence data, products, geography, behaviour and screening results, and shows which factors drive the rating and when enhanced due diligence is warranted.",[31,7,133],[314,330],[183,358],[636],"bunq",{"slug":638,"title":639,"shortTitle":640,"definition":641,"status":29,"industries":642,"functions":643,"patterns":644,"audience":332,"autonomy":230,"adoptionStage":42,"segment":92,"evidenceCount":645,"publicEvidenceCount":645,"organizations":646,"bestGrade":48,"headline":649,"lastVerified":57,"indexable":11},"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.",[31,7],[65],[183,358],9,[497,46,600,95,647,169,648,73],"Pay.UK","Stripe",{"kpi":172,"label":173,"unit":52,"n":70,"nUpTo":20,"kind":155,"value":273,"qualifier":123,"claimant":56,"organization":74,"vendorReported":10},[],[],[653,655,658,660,662,664,666,668],{"id":33,"label":654,"count":137},"Customer service",{"id":34,"label":656,"count":657},"Operations",11,{"id":314,"label":659,"count":645},"Financial crime compliance",{"id":65,"label":661,"count":645},"Fraud prevention",{"id":86,"label":663,"count":645},"Regulatory compliance",{"id":263,"label":665,"count":154},"Onboarding and KYC",{"id":330,"label":667,"count":17},"Risk management",{"id":212,"label":669,"count":44},"Sales",[671,674,677,680,682,684,687,689],{"id":38,"label":672,"count":673},"Agentic workflow",29,{"id":39,"label":675,"count":676},"RAG knowledge assistant",17,{"id":67,"label":678,"count":679},"Classification and routing",15,{"id":36,"label":681,"count":679},"Conversational agent",{"id":88,"label":683,"count":679},"Summarization",{"id":68,"label":685,"count":686},"Document processing",12,{"id":183,"label":688,"count":686},"Prediction and scoring",{"id":358,"label":690,"count":509},"Anomaly detection",[692,694,696,698,700],{"stage":693,"count":15},"announced",{"stage":695,"count":70},"pilot",{"stage":697,"count":509},"production",{"stage":699,"count":154},"scaled",{"stage":701,"count":20},"paused",[703,705,707,709],{"region":704,"count":509},"global",{"region":706,"count":154},"europe",{"region":708,"count":70},"north-america",{"region":710,"count":15},"asia-pacific",[480,496,185,317,72,286,600,319,647,217,383,362,363,648,320,73],{"records":713,"organizations":714,"byIndustry":715},117,100,[716,718,721,723,725,727,729,731,733,735,738,740],{"id":31,"label":717,"count":528,"hub":11},"Banking",{"id":375,"label":719,"count":720,"hub":11},"Government and public sector",19,{"id":260,"label":722,"count":645,"hub":11},"Technology and software",{"id":83,"label":724,"count":22,"hub":11},"Telecommunications",{"id":132,"label":726,"count":154,"hub":11},"Retail and ecommerce",{"id":131,"label":728,"count":101,"hub":11},"Travel and hospitality",{"id":133,"label":730,"count":15,"hub":11},"Wealth and asset management",{"id":395,"label":732,"count":15,"hub":11},"Capital markets",{"id":594,"label":734,"count":15,"hub":11},"Manufacturing",{"id":736,"label":737,"count":100,"hub":11},"logistics-and-transportation","Logistics and transportation",{"id":110,"label":739,"count":100,"hub":11},"Professional services",{"id":81,"label":741,"count":100,"hub":11},"Cross industry",1790598307814]