[{"data":1,"prerenderedAt":468},["ShallowReactive",2],{"uc-hub-function-risk-management":3},{"type":4,"typeLabel":5,"term":6,"includeUnpublished":10,"indexable":11,"stats":12,"useCases":24,"benchmarks":389,"topIndustries":401,"topFunctions":420,"topPatterns":421,"stageMix":441,"regionMix":454,"organizations":467,"other":50},"function","Business function",{"id":7,"label":8,"description":9},"risk-management","Risk management","Credit, market, operational and model risk: measurement, monitoring and reporting.",false,true,{"useCases":13,"publicDeployments":14,"blitsAiDeployments":15,"organizations":16,"countries":17,"outcomeDisclosureRate":18,"gradeMix":19},22,74,3,71,16,45,{"A":20,"B":21,"C":22,"D":23},0,43,30,1,[25,52,83,99,116,138,153,174,189,201,216,239,259,275,287,299,312,323,335,348,361,372],{"slug":26,"title":27,"shortTitle":28,"definition":29,"status":30,"industries":31,"functions":33,"patterns":36,"audience":41,"autonomy":42,"adoptionStage":43,"segment":44,"evidenceCount":45,"publicEvidenceCount":45,"organizations":46,"bestGrade":49,"headline":50,"lastVerified":51,"indexable":11},"credit-memo-drafting-agent","AI agent for corporate credit analysis and credit memo drafting","Credit underwriting and memos","An AI agent that gathers a corporate borrower's documents and data, spreads the financials into the bank's template, calculates ratios and covenant headroom, pulls bureau and news information, and drafts a committee ready credit memo in which every figure links to its source, for the relationship and credit teams to challenge, complete and sign.","published",[32],"banking",[34,35,7],"lending-and-credit","underwriting",[37,38,39,40],"document-processing","agentic-workflow","rag-knowledge-assistant","content-generation","employee-facing","copilot","early-adopters","specialized-businesses",2,[47,48],"Banestes","DBS Bank","B",null,"2026-09-27",{"slug":53,"title":54,"shortTitle":55,"definition":56,"status":30,"industries":57,"functions":61,"patterns":64,"audience":41,"autonomy":42,"adoptionStage":43,"segment":67,"evidenceCount":68,"publicEvidenceCount":69,"organizations":70,"bestGrade":49,"headline":75,"lastVerified":51,"indexable":11},"deal-sourcing-and-due-diligence-assistant","AI assistant for deal sourcing and M&A due diligence","Deal sourcing and due diligence","An AI assistant that screens the market for acquisition or investment targets, builds company profiles, and speeds up due diligence by reading data room documents, extracting key terms and risks and drafting the investment or diligence memo, for the deal team to verify and decide.",[58,59,60],"capital-markets","wealth-and-asset-management","professional-services",[62,63,7],"analytics-and-reporting","legal",[37,65,39,38,66],"summarization","prediction-and-scoring","front-office",5,4,[71,72,73,74],"Datasite","EQT","Freshfields","Rogo",{"kpi":76,"label":77,"unit":78,"n":20,"nUpTo":23,"kind":79,"value":80,"qualifier":81,"claimant":82,"organization":71,"vendorReported":11},"productivity-gain","Productivity gain","percent","reported",80,"up-to","vendor",{"slug":84,"title":85,"shortTitle":86,"definition":87,"status":30,"industries":88,"functions":89,"patterns":92,"audience":41,"autonomy":42,"adoptionStage":94,"segment":67,"evidenceCount":45,"publicEvidenceCount":45,"organizations":95,"bestGrade":49,"headline":50,"lastVerified":98,"indexable":11},"suitability-assessment-assistant","AI assistant for investment suitability assessment and reports","Suitability assessment","An AI assistant that checks whether a proposed product or portfolio fits a client's risk tolerance, objectives, knowledge, experience and financial situation against the firm's rules, flags mismatches, and drafts the suitability rationale and report for the advisor to confirm, while hard rule failures are decided by deterministic checks, not by the model.",[59,32],[90,91,7],"regulatory-compliance","sales",[38,40,93],"classification-and-routing","emerging",[96,97],"Morgan Stanley","Vanguard","2026-09-26",{"slug":100,"title":101,"shortTitle":102,"definition":103,"status":30,"industries":104,"functions":105,"patterns":106,"audience":108,"autonomy":109,"adoptionStage":43,"segment":110,"evidenceCount":69,"publicEvidenceCount":69,"organizations":111,"bestGrade":49,"headline":50,"lastVerified":98,"indexable":11},"sme-cash-flow-underwriting","AI cash flow underwriting for small business loans","SME cash flow underwriting","An underwriting engine that assesses a small business's repayment capacity from live bank transactions, point of sale and payment flows, receivables and accounting data instead of audited accounts, and returns a decision recommendation with the evidence and reasons behind it.",[32],[34,35,7],[66,37,38,107],"conversational-agent","back-office","supervised-agent","lending",[112,113,114,115],"MYbank","National Australia Bank","OakNorth Bank","Sumitomo Mitsui Banking Corporation",{"slug":117,"title":118,"shortTitle":119,"definition":120,"status":30,"industries":121,"functions":123,"patterns":125,"audience":41,"autonomy":42,"adoptionStage":43,"segment":127,"evidenceCount":68,"publicEvidenceCount":68,"organizations":128,"bestGrade":49,"headline":134,"lastVerified":98,"indexable":11},"insurance-pricing-and-actuarial-copilot","AI copilot for insurance pricing and actuarial analysis","Pricing and actuarial copilot","AI that speeds up the work of pricing and actuarial teams, from automated, transparent risk and demand model building to natural language analysis of rate filings, experience data and reserving diagnostics, while actuaries select the models, sign off the rates and own the professional judgment.",[122],"insurance",[124,7,62],"product-and-pricing",[66,126,38,65],"code-generation","pricing",[129,130,131,132,133],"Accelerant Holdings","Europ Assistance","Generali France","Kinsale Capital Group","MAIF",{"kpi":76,"label":77,"unit":135,"n":23,"nUpTo":20,"kind":79,"value":68,"qualifier":136,"claimant":137,"organization":131,"vendorReported":10},"multiplier","exact","organization",{"slug":139,"title":140,"shortTitle":141,"definition":142,"status":30,"industries":143,"functions":144,"patterns":145,"audience":41,"autonomy":42,"adoptionStage":94,"segment":147,"evidenceCount":15,"publicEvidenceCount":15,"organizations":148,"bestGrade":49,"headline":50,"lastVerified":152,"indexable":11},"model-risk-validation-copilot","AI copilot for model risk validation and monitoring","Model risk validation","A copilot for independent model validation and review, whether run by a bank's validation function, an external tester or a supervisor, that checks model documentation against the model risk standard, generates and scores challenger tests (for generative AI, often with an LLM as a judge calibrated against human experts), watches production models for drift and drafts and consistency checks the validation report. An accountable validator owns every conclusion.",[32,122,58,59],[7,90],[38,37,40,146],"anomaly-detection","second-line",[149,150,151],"European Central Bank (ECB Banking Supervision)","Standard Chartered","United Overseas Bank (UOB)","2026-09-28",{"slug":154,"title":155,"shortTitle":156,"definition":157,"status":30,"industries":158,"functions":159,"patterns":160,"audience":41,"autonomy":42,"adoptionStage":43,"segment":35,"evidenceCount":161,"publicEvidenceCount":161,"organizations":162,"bestGrade":49,"headline":170,"lastVerified":98,"indexable":11},"underwriting-risk-assessment-copilot","AI copilot for underwriting risk assessment","Underwriting risk assessment copilot","A copilot that assembles everything relevant to a risk (the submission, loss history, internal guidelines, third party data and public information), highlights exposures and gaps against the insurer's underwriting guidelines and drafts the underwriting narrative or referral note, while the underwriter makes and signs every decision.",[122],[35,7],[39,65,40,38],8,[129,163,164,165,166,167,168,169],"American International Group","Arch Capital Group","Bowhead Specialty","Generali Global Corporate & Commercial","Hiscox","Skyward Specialty Insurance Group","Zurich North America",{"kpi":171,"label":172,"unit":78,"n":23,"nUpTo":20,"kind":79,"value":173,"qualifier":136,"claimant":82,"organization":166,"vendorReported":11},"processing-time-reduction","Cycle time reduction",50,{"slug":175,"title":176,"shortTitle":177,"definition":178,"status":30,"industries":179,"functions":181,"patterns":182,"audience":108,"autonomy":109,"adoptionStage":43,"segment":110,"evidenceCount":68,"publicEvidenceCount":68,"organizations":183,"bestGrade":49,"headline":50,"lastVerified":98,"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.",[32,180],"payments",[34,35,7],[66,37,107],[184,185,186,187,188],"Atlanticus","Golden 1 Credit Union","GXS Bank","Patelco Credit Union","Upstart Network",{"slug":190,"title":191,"shortTitle":192,"definition":193,"status":30,"industries":194,"functions":195,"patterns":196,"audience":41,"autonomy":197,"adoptionStage":43,"segment":110,"evidenceCount":15,"publicEvidenceCount":15,"organizations":198,"bestGrade":200,"headline":50,"lastVerified":51,"indexable":11},"credit-early-warning-monitoring","AI early warning and covenant monitoring for loan portfolios","Credit early warning and covenants","A monitoring system that tracks covenant tests and borrower reporting across a loan book, reads financials, filings and news, and combines them with payment and sector signals to flag borrowers whose credit is deteriorating, with the evidence and a suggested next step for the relationship manager.",[32],[7,34],[146,37,38,65],"assist",[114,199,115],"PNC Financial Services","C",{"slug":202,"title":203,"shortTitle":204,"definition":205,"status":30,"industries":206,"functions":209,"patterns":211,"audience":108,"autonomy":109,"adoptionStage":94,"segment":147,"evidenceCount":15,"publicEvidenceCount":15,"organizations":212,"bestGrade":49,"headline":50,"lastVerified":51,"indexable":11},"continuous-controls-testing","AI for continuous controls testing and control self assessment","Continuous controls testing","AI that moves control testing from periodic samples to continuous, full population assurance: it collects evidence from source systems, maps each artefact to the control it supports, tests every transaction or record against the control's rule, flags exceptions for a human to judge and prepares the risk and control self assessment from incident and loss data for the business to review.",[207,32,122,58,208],"cross-industry","government",[7,90,210],"operations",[38,37,146,93],[213,214,215],"Federal Deposit Insurance Corporation","U.S. Department of the Interior","Pension Benefit Guaranty Corporation",{"slug":217,"title":218,"shortTitle":219,"definition":220,"status":30,"industries":221,"functions":224,"patterns":226,"audience":41,"autonomy":42,"adoptionStage":43,"evidenceCount":227,"publicEvidenceCount":68,"organizations":228,"bestGrade":49,"headline":234,"lastVerified":51,"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.",[207,32,222,223,180],"technology","telecommunications",[225,210,7],"it-and-engineering",[146,93,65,39,38],6,[229,230,231,232,233],"Google","Meta","Microsoft","Mizuho Financial Group","TD Bank",{"kpi":235,"label":236,"unit":78,"n":15,"nUpTo":20,"kind":237,"value":238,"qualifier":136,"claimant":50,"organization":50,"vendorReported":10},"accuracy","Accuracy","median",90,{"slug":240,"title":241,"shortTitle":242,"definition":243,"status":30,"industries":244,"functions":245,"patterns":248,"audience":108,"autonomy":109,"adoptionStage":43,"evidenceCount":69,"publicEvidenceCount":69,"organizations":249,"bestGrade":49,"headline":254,"lastVerified":51,"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.",[180,222,32],[246,247,7],"onboarding-and-kyc","fraud-prevention",[66,146,93,65,38],[250,251,252,253],"Airwallex","Tekmetric","Visa","Weave Communications",{"kpi":255,"label":256,"unit":78,"n":45,"nUpTo":20,"kind":79,"value":257,"qualifier":258,"claimant":82,"organization":253,"vendorReported":11},"alert-volume-reduction","Alert volume reduction",89,"approximately",{"slug":260,"title":261,"shortTitle":262,"definition":263,"status":30,"industries":264,"functions":265,"patterns":267,"audience":41,"autonomy":197,"adoptionStage":43,"evidenceCount":227,"publicEvidenceCount":227,"organizations":268,"bestGrade":49,"headline":50,"lastVerified":51,"indexable":11},"inspection-prioritization","AI for risk based inspection prioritization in food safety, workplace and environmental regulation","Inspection prioritization","Models that predict which premises, operators or activities are most likely to be non compliant, so that inspectors in food safety, workplace safety, environmental and other regulation spend their visits where the risk is highest, ideally with inspectors choosing the visits and random inspections testing the model.",[208],[7,266,90],"case-management",[66,146],[269,270,271,272,273,274],"Care Quality Commission","Driver and Vehicle Standards Agency","U.S. Environmental Protection Agency, Office of Enforcement and Compliance Assurance","Food Standards Agency","Nederlandse Arbeidsinspectie","Nederlandse Voedsel- en Warenautoriteit (NVWA)",{"slug":276,"title":277,"shortTitle":278,"definition":279,"status":30,"industries":280,"functions":281,"patterns":282,"audience":108,"autonomy":42,"adoptionStage":43,"segment":108,"evidenceCount":69,"publicEvidenceCount":69,"organizations":283,"bestGrade":49,"headline":50,"lastVerified":51,"indexable":11},"settlement-fail-prediction-and-exception-management","AI for settlement fail prediction and post trade exception management","Settlement fail prediction","AI that scores each pending securities settlement instruction for its likelihood of failing, names the probable cause (unmatched instruction, wrong settlement details, lack of securities or cash), and helps operations teams work the exceptions and counterparty queries before the intended settlement date, so fewer trades fail and fewer late settlement penalties are paid.",[58,32,59],[210,7],[66,93,38,40],[284,285,286],"BNY","Clearstream","Euroclear",{"slug":288,"title":289,"shortTitle":290,"definition":291,"status":30,"industries":292,"functions":293,"patterns":294,"audience":108,"autonomy":197,"adoptionStage":43,"evidenceCount":15,"publicEvidenceCount":15,"organizations":295,"bestGrade":49,"headline":50,"lastVerified":51,"indexable":11},"tax-compliance-risk-scoring","AI for tax compliance risk scoring and audit selection","Tax compliance risk scoring","Models that score tax returns, taxpayers and transactions for the risk of error, underreporting or fraud, so that a tax administration spends its audit and compliance capacity where the risk is highest, with an officer deciding every compliance action and the selection itself monitored for fairness.",[208],[7,266,247],[66,146],[296,297,298],"Belastingdienst","HM Revenue and Customs","Internal Revenue Service",{"slug":300,"title":301,"shortTitle":302,"definition":303,"status":30,"industries":304,"functions":305,"patterns":307,"audience":41,"autonomy":42,"adoptionStage":43,"segment":147,"evidenceCount":69,"publicEvidenceCount":69,"organizations":308,"bestGrade":49,"headline":50,"lastVerified":51,"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.",[207,32,122,208,180],[306,7,90],"procurement",[37,39,38,65],[309,298,310,311],"U.S. Department of Justice","U.S. Department of Agriculture","U.S. Trade and Development Agency",{"slug":313,"title":314,"shortTitle":315,"definition":316,"status":30,"industries":317,"functions":318,"patterns":319,"audience":108,"autonomy":42,"adoptionStage":94,"segment":320,"evidenceCount":69,"publicEvidenceCount":15,"organizations":321,"bestGrade":49,"headline":50,"lastVerified":51,"indexable":11},"portfolio-drift-monitoring-and-rebalancing","AI portfolio drift monitoring and rebalancing proposals","Drift and rebalancing","Continuous monitoring of every client portfolio against its mandate or model, which detects drift beyond agreed bands and prepares a tax aware, low turnover rebalancing proposal with its rationale for an advisor or portfolio manager to approve before any trade is placed.",[59,32],[210,7,62],[146,38,66,40],"middle-office",[96,322,97],"SimCorp",{"slug":324,"title":325,"shortTitle":326,"definition":327,"status":30,"industries":328,"functions":329,"patterns":331,"audience":41,"autonomy":42,"adoptionStage":94,"segment":110,"evidenceCount":45,"publicEvidenceCount":23,"organizations":333,"bestGrade":49,"headline":50,"lastVerified":51,"indexable":11},"loan-restructuring-recommendations","AI recommendations for loan restructuring and hardship arrangements","Restructuring recommendations","An assistant that assembles a stressed borrower's position, tests restructuring options such as a term extension, rate relief, payment holiday or due date change against policy and affordability, and recommends the best fit with a written rationale for a person to approve.",[32],[330,34,7],"collections-and-recovery",[38,39,37,332],"recommendation-and-personalization",[334],"Commonwealth Bank of Australia",{"slug":336,"title":337,"shortTitle":338,"definition":339,"status":30,"industries":340,"functions":342,"patterns":343,"audience":41,"autonomy":197,"adoptionStage":43,"segment":344,"evidenceCount":69,"publicEvidenceCount":45,"organizations":345,"bestGrade":49,"headline":50,"lastVerified":51,"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.",[207,32,122,180,59,341,208],"pharma-and-life-sciences",[90,63,7],[93,37,39,65,38],"compliance",[346,347],"Financial Conduct Authority","Administration for Children and Families",{"slug":349,"title":350,"shortTitle":351,"definition":352,"status":30,"industries":353,"functions":355,"patterns":356,"audience":41,"autonomy":42,"adoptionStage":43,"evidenceCount":69,"publicEvidenceCount":69,"organizations":357,"bestGrade":49,"headline":50,"lastVerified":51,"indexable":11},"ai-model-inventory","AI system and model inventory with shadow AI discovery","AI model inventory","A governed register of every AI system and model an organization builds, buys or uses, with its owner, purpose, data, risk tier and approval status, kept current by AI that discovers unregistered use, reads the documentation and assembles the evidence a board, auditor or supervisor asks for.",[207,32,122,208,354],"manufacturing",[7,90,225],[38,37,39,93],[358,359,360,309],"Board of Governors of the Federal Reserve System","Office of Management and Budget","Unilever",{"slug":362,"title":363,"shortTitle":364,"definition":365,"status":30,"industries":366,"functions":367,"patterns":369,"audience":108,"autonomy":109,"adoptionStage":43,"segment":320,"evidenceCount":23,"publicEvidenceCount":23,"organizations":370,"bestGrade":49,"headline":50,"lastVerified":51,"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.",[32,180,59],[368,7],"financial-crime-compliance",[66,146],[371],"bunq",{"slug":373,"title":374,"shortTitle":375,"definition":376,"status":30,"industries":377,"functions":378,"patterns":380,"audience":41,"autonomy":42,"adoptionStage":43,"evidenceCount":15,"publicEvidenceCount":15,"organizations":381,"bestGrade":200,"headline":385,"lastVerified":51,"indexable":11},"internal-audit-copilot","Generative AI copilot for internal audit","Internal audit copilot","A copilot for internal auditors that drafts planning memos and document request lists from prior audits, summarises large evidence sets, builds risk and control matrices from policies and process documents, and drafts findings and reports, with every statement traceable to its evidence and a qualified auditor accountable for every conclusion.",[207,32,122,208,58,59],[7,90,379],"finance-and-accounting",[39,65,40,37,146],[382,383,384],"Banco Bradesco","British Columbia Investment Management Corporation","XP Inc.",{"kpi":386,"label":387,"unit":78,"n":45,"nUpTo":20,"kind":79,"value":388,"qualifier":136,"claimant":82,"organization":382,"vendorReported":11},"handling-time-reduction","Handling time reduction",55,[390],{"kpi":235,"label":236,"unit":78,"aggregate":11,"higherIsBetter":11,"n":15,"nUpTo":20,"median":238,"min":391,"max":392,"byClaimant":393,"vendorOnly":10,"points":394},42,98,{"organization":45,"vendor":23,"regulator":20,"independent":20},[395,397,399],{"evidenceId":396,"organization":232,"value":392,"qualifier":136,"claimant":82,"grade":200,"pooled":11},"mizuho-generative-ai-event-detection",{"evidenceId":398,"organization":231,"value":238,"qualifier":136,"claimant":137,"grade":49,"pooled":11},"microsoft-azure-triangle-incident-triage",{"evidenceId":400,"organization":230,"value":391,"qualifier":136,"claimant":137,"grade":49,"pooled":11},"meta-ai-assisted-root-cause-analysis",[402,405,407,409,412,414,416,418],{"id":32,"label":403,"count":404},"Banking",17,{"id":122,"label":406,"count":161},"Insurance",{"id":59,"label":408,"count":161},"Wealth and asset management",{"id":208,"label":410,"count":411},"Government and public sector",7,{"id":207,"label":413,"count":227},"Cross industry",{"id":180,"label":415,"count":227},"Payments and cards",{"id":58,"label":417,"count":68},"Capital markets",{"id":222,"label":419,"count":45},"Technology and software",[],[422,424,427,430,432,435,437,439],{"id":38,"label":423,"count":404},"Agentic workflow",{"id":37,"label":425,"count":426},"Document processing",12,{"id":146,"label":428,"count":429},"Anomaly detection",10,{"id":66,"label":431,"count":429},"Prediction and scoring",{"id":39,"label":433,"count":434},"RAG knowledge assistant",9,{"id":65,"label":436,"count":434},"Summarization",{"id":93,"label":438,"count":411},"Classification and routing",{"id":40,"label":440,"count":411},"Content generation",[442,444,446,449,452],{"stage":443,"count":227},"announced",{"stage":445,"count":227},"pilot",{"stage":447,"count":448},"production",46,{"stage":450,"count":451},"scaled",15,{"stage":453,"count":23},"paused",[455,458,461,463,465],{"region":456,"count":457},"north-america",33,{"region":459,"count":460},"europe",21,{"region":462,"count":434},"global",{"region":464,"count":161},"asia-pacific",{"region":466,"count":15},"latin-america",[129,347,250,163,164,184,284,382,47,296,358,165,383,269,285,334,48,71,270,72,286,130,149,213,346,272,73,186,131,166,185,229,297,167,298,132,133,112,230,231,232,96,113,273,274,114,359,199,187,215,74,322,168,150,115,233,251,310,309,214,271,311,360,151,188,97,252,253,384,169,371],1790598308608]