[{"data":1,"prerenderedAt":1132},["ShallowReactive",2],{"uc-hub-pattern-summarization":3},{"type":4,"typeLabel":5,"term":6,"includeUnpublished":10,"indexable":11,"stats":12,"useCases":23,"benchmarks":922,"topIndustries":1060,"topFunctions":1081,"topPatterns":1099,"stageMix":1100,"regionMix":1114,"organizations":1131,"other":122},"pattern","AI pattern",{"id":7,"label":8,"description":9},"summarization","Summarization","Condensing conversations, documents or cases into short, structured summaries.",false,true,{"useCases":13,"publicDeployments":14,"blitsAiDeployments":15,"organizations":16,"countries":17,"outcomeDisclosureRate":18,"gradeMix":19},59,224,8,189,26,54,{"A":20,"B":21,"C":22,"D":20},0,118,106,[24,64,90,106,123,140,160,176,192,213,230,241,260,281,299,313,331,347,361,373,386,404,420,440,453,465,481,494,507,525,541,554,569,586,598,613,629,641,655,666,684,696,707,719,735,745,758,771,784,803,815,830,843,853,864,877,886,898,911],{"slug":25,"title":26,"shortTitle":27,"definition":28,"status":29,"industries":30,"functions":36,"patterns":40,"audience":45,"autonomy":46,"adoptionStage":47,"segment":48,"evidenceCount":49,"publicEvidenceCount":49,"organizations":50,"bestGrade":53,"headline":54,"lastVerified":63,"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.","published",[31,32,33,34,35],"cross-industry","banking","payments","insurance","telecommunications",[37,38,39],"case-management","customer-service","regulatory-compliance",[41,7,42,43,44],"classification-and-routing","content-generation","agentic-workflow","rag-knowledge-assistant","employee-facing","copilot","early-adopters","middle-office",2,[51,52],"Lloyds Banking Group","NatWest Group","B",{"kpi":55,"label":56,"unit":57,"n":58,"nUpTo":20,"kind":59,"value":60,"qualifier":61,"claimant":62,"organization":51,"vendorReported":10},"time-saved-per-task","Time saved per task","minutes",1,"reported",5,"approximately","organization","2026-09-27",{"slug":65,"title":66,"shortTitle":67,"definition":68,"status":29,"industries":69,"functions":72,"patterns":75,"audience":45,"autonomy":77,"adoptionStage":47,"evidenceCount":49,"publicEvidenceCount":49,"organizations":78,"bestGrade":81,"headline":82,"lastVerified":89,"indexable":11},"data-quality-monitoring-agent","AI agent for data quality monitoring and observability","Data quality monitoring agent","An AI agent that watches data pipelines and tables continuously, uses machine learning to learn the normal pattern of freshness, volume, schema and distribution for each one, flags anomalies before they reach a dashboard or a downstream model, and traces the lineage back to the change that caused them so an engineer can fix the source, not just the symptom.",[31,70,71],"technology","retail-and-ecommerce",[73,74],"it-and-engineering","analytics-and-reporting",[76,41,7],"anomaly-detection","assist",[79,80],"Contentsquare","SeatGeek","C",{"kpi":83,"label":84,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":86,"qualifier":87,"claimant":88,"organization":80,"vendorReported":11},"productivity-gain","Productivity gain","percent",50,"exact","vendor","2026-09-28",{"slug":91,"title":92,"shortTitle":93,"definition":94,"status":29,"industries":95,"functions":96,"patterns":98,"audience":45,"autonomy":46,"adoptionStage":47,"evidenceCount":49,"publicEvidenceCount":49,"organizations":99,"bestGrade":81,"headline":102,"lastVerified":89,"indexable":11},"performance-review-drafting-agent","AI agent for drafting employee performance reviews","Performance review drafting","An assistant that gathers an employee's work history, goals and peer feedback from the systems a manager already uses, and drafts a first version of the performance review for the manager to edit, rewrite or reject, so the manager starts from a grounded summary instead of a blank form and a stack of six months of context to recall from memory.",[31,70],[97],"human-resources",[42,7,43],[100,101],"Case Status","Rho",{"kpi":103,"label":104,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":105,"qualifier":87,"claimant":88,"organization":100,"vendorReported":11},"processing-time-reduction","Cycle time reduction",84,{"slug":107,"title":108,"shortTitle":109,"definition":110,"status":29,"industries":111,"functions":112,"patterns":115,"audience":45,"autonomy":117,"adoptionStage":47,"segment":48,"evidenceCount":118,"publicEvidenceCount":49,"organizations":119,"bestGrade":81,"headline":122,"lastVerified":63,"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.",[32,33],[113,114],"fraud-prevention","operations",[43,41,7,116],"prediction-and-scoring","supervised-agent",3,[120,121],"Coast","SEB",null,{"slug":124,"title":125,"shortTitle":126,"definition":127,"status":29,"industries":128,"functions":130,"patterns":133,"audience":45,"autonomy":46,"adoptionStage":47,"segment":135,"evidenceCount":118,"publicEvidenceCount":118,"organizations":136,"bestGrade":53,"headline":122,"lastVerified":139,"indexable":11},"source-of-wealth-diligence","AI agent for source of wealth due diligence in private banking","Source of wealth diligence","An AI agent that reads a prospective private client's documents, extracts and corroborates how their wealth was built, checks plausibility against benchmarks and external sources, and drafts the source of wealth and enhanced due diligence narrative for the relationship manager and compliance analyst, who decide on the risk rating and the relationship.",[129,32],"wealth-and-asset-management",[131,132],"onboarding-and-kyc","financial-crime-compliance",[134,43,42,7],"document-processing","front-office",[137,138],"Bank of Singapore","Deutsche Bank","2026-09-26",{"slug":141,"title":142,"shortTitle":143,"definition":144,"status":29,"industries":145,"functions":147,"patterns":149,"audience":45,"autonomy":46,"adoptionStage":151,"evidenceCount":118,"publicEvidenceCount":118,"organizations":152,"bestGrade":53,"headline":156,"lastVerified":63,"indexable":11},"ambient-clinical-documentation","AI ambient scribe for clinical documentation","Ambient clinical documentation","An AI scribe that listens, with the patient's consent, to the conversation between a clinician and a patient and drafts the clinical note, and often the letter or after visit summary, for the clinician to review, edit and sign in the health record. It documents; it does not diagnose or decide on treatment.",[146],"healthcare",[114,148],"knowledge-management",[150,7,42],"speech-analytics","mainstream",[153,154,155],"Great Ormond Street Hospital for Children NHS Foundation Trust","Kaiser Permanente","US Department of Veterans Affairs, Veterans Health Administration",{"kpi":157,"label":158,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":159,"qualifier":87,"claimant":62,"organization":153,"vendorReported":10},"handling-time-reduction","Handling time reduction",8.2,{"slug":161,"title":162,"shortTitle":163,"definition":164,"status":29,"industries":165,"functions":167,"patterns":168,"audience":170,"autonomy":171,"adoptionStage":47,"evidenceCount":118,"publicEvidenceCount":118,"organizations":172,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"publisher-archive-answer-engine","AI answer engine for readers built on a publisher's own journalism","Publisher archive answer engine","A generative AI search and answer tool on a publisher's own site or app that answers readers' questions only from that publisher's published journalism and archive, cites the articles it used, and declines to answer when its own reporting does not cover the question.",[166],"media-and-entertainment",[38],[44,169,7],"conversational-agent","customer-facing","autonomous",[173,174,175],"Financial Times","TIME","The Washington Post",{"slug":177,"title":178,"shortTitle":179,"definition":180,"status":29,"industries":181,"functions":182,"patterns":183,"audience":170,"autonomy":117,"adoptionStage":47,"segment":184,"evidenceCount":60,"publicEvidenceCount":49,"organizations":185,"bestGrade":53,"headline":188,"lastVerified":63,"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.",[32,33],[38,114],[169,44,43,7],"specialized-businesses",[186,187],"Bank of America","DBS Bank",{"kpi":189,"label":190,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":191,"qualifier":87,"claimant":62,"organization":186,"vendorReported":10},"contact-deflection","Contact deflection",16,{"slug":193,"title":194,"shortTitle":195,"definition":196,"status":29,"industries":197,"functions":200,"patterns":203,"audience":45,"autonomy":46,"adoptionStage":47,"segment":135,"evidenceCount":60,"publicEvidenceCount":204,"organizations":205,"bestGrade":53,"headline":210,"lastVerified":63,"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.",[198,129,199],"capital-markets","professional-services",[74,201,202],"legal","risk-management",[134,7,44,43,116],4,[206,207,208,209],"Datasite","EQT","Freshfields","Rogo",{"kpi":83,"label":84,"unit":85,"n":20,"nUpTo":58,"kind":59,"value":211,"qualifier":212,"claimant":88,"organization":206,"vendorReported":11},80,"up-to",{"slug":214,"title":215,"shortTitle":216,"definition":217,"status":29,"industries":218,"functions":219,"patterns":221,"audience":45,"autonomy":77,"adoptionStage":47,"segment":223,"evidenceCount":60,"publicEvidenceCount":60,"organizations":224,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"insurance-broker-and-agent-assistant","AI assistant for insurance brokers and agents","Broker and agent assistant","An AI assistant for tied agents, independent brokers, advisors and the insurer's own distribution staff that answers product, underwriting and process questions from approved sources, prepares personalized customer engagement and follow ups, validates and prioritizes leads, and drafts meeting notes and emails, so producers spend more time with customers.",[34],[220,148],"sales",[44,222,42,7],"recommendation-and-personalization","distribution",[225,226,227,228,229],"Manulife","Prudential plc","Sun Life","Waterdrop","Zurich Insurance Group",{"slug":231,"title":232,"shortTitle":233,"definition":234,"status":29,"industries":235,"functions":236,"patterns":237,"audience":45,"autonomy":46,"adoptionStage":47,"segment":184,"evidenceCount":118,"publicEvidenceCount":118,"organizations":238,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"client-briefing-and-call-report-copilot","AI copilot for corporate client briefings and call reports","Client briefing and call reports","An AI copilot for relationship managers, mainly in corporate and commercial banking, whose main job is preparation: before a client meeting it assembles a briefing pack from filings, news, internal notes, product holdings and upcoming maturities, and afterwards it turns the banker's notes into a structured call report and CRM update. Unlike a meeting notetaker, which centres on capturing the conversation, it centres on the credit and cross sell context around the meeting; wealth advisor tools that also prepare meetings overlap with it. The banker reviews every output.",[32,129,198],[220,148],[44,7,42,43],[186,239,240],"Scotiabank","Standard Chartered",{"slug":242,"title":243,"shortTitle":244,"definition":245,"status":29,"industries":246,"functions":247,"patterns":249,"audience":45,"autonomy":46,"adoptionStage":47,"segment":251,"evidenceCount":60,"publicEvidenceCount":60,"organizations":252,"bestGrade":53,"headline":258,"lastVerified":139,"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.",[34],[248,202,74],"product-and-pricing",[116,250,43,7],"code-generation","pricing",[253,254,255,256,257],"Accelerant Holdings","Europ Assistance","Generali France","Kinsale Capital Group","MAIF",{"kpi":83,"label":84,"unit":259,"n":58,"nUpTo":20,"kind":59,"value":60,"qualifier":87,"claimant":62,"organization":255,"vendorReported":10},"multiplier",{"slug":261,"title":262,"shortTitle":263,"definition":264,"status":29,"industries":265,"functions":266,"patterns":268,"audience":45,"autonomy":46,"adoptionStage":47,"segment":269,"evidenceCount":270,"publicEvidenceCount":270,"organizations":271,"bestGrade":53,"headline":278,"lastVerified":63,"indexable":11},"network-fault-triage-copilot","AI copilot for network operations centre fault triage","NOC fault triage copilot","AI in the network operations centre (NOC) that correlates alarms and performance data from radio, transport, core and fixed networks into a small number of probable faults, ranks them by customer impact, proposes the likely root cause and fix from runbooks, vendor documentation and past tickets, and routes the ticket to the right team, while an engineer decides what to change.",[35],[267,114],"network-operations",[76,41,44,7,43],"network",6,[272,273,274,275,276,277],"Bell Canada","Deutsche Telekom","KDDI","Orange","Telstra","Vodafone",{"kpi":103,"label":104,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":279,"qualifier":280,"claimant":62,"organization":273,"vendorReported":10},95,"at-least",{"slug":282,"title":283,"shortTitle":284,"definition":285,"status":29,"industries":286,"functions":289,"patterns":290,"audience":45,"autonomy":77,"adoptionStage":47,"segment":292,"evidenceCount":118,"publicEvidenceCount":118,"organizations":293,"bestGrade":53,"headline":297,"lastVerified":63,"indexable":11},"plant-operator-and-maintenance-copilot","AI copilot for plant operators and maintenance technicians","Plant operator and maintenance copilot","A generative AI assistant for the people who run and repair machines in plants, workshops and service centres: it answers fault and procedure questions from equipment manuals, fault reports, shift logs and live machine data, in the technician's language, with links to the sources, so faults are diagnosed faster and expert knowledge is not lost when experienced staff retire.",[287,288],"manufacturing","automotive",[114,148],[44,169,7,291],"translation","production",[294,295,296],"BMW Group","Georgia-Pacific","Textron Aviation",{"kpi":55,"label":56,"unit":57,"n":20,"nUpTo":58,"kind":59,"value":298,"qualifier":212,"claimant":88,"organization":296,"vendorReported":11},18,{"slug":300,"title":301,"shortTitle":302,"definition":303,"status":29,"industries":304,"functions":305,"patterns":306,"audience":45,"autonomy":46,"adoptionStage":307,"segment":48,"evidenceCount":204,"publicEvidenceCount":204,"organizations":308,"bestGrade":53,"headline":122,"lastVerified":139,"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.",[32,33],[132,37],[42,7,44,43],"emerging",[309,310,311,312],"Finshark","BMO and Amalgamated Bank","Nexo","Uphold",{"slug":314,"title":315,"shortTitle":316,"definition":317,"status":29,"industries":318,"functions":319,"patterns":321,"audience":45,"autonomy":46,"adoptionStage":47,"segment":320,"evidenceCount":15,"publicEvidenceCount":15,"organizations":322,"bestGrade":53,"headline":330,"lastVerified":139,"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.",[34],[320,202],"underwriting",[44,7,42,43],[253,323,324,325,326,327,328,329],"American International Group","Arch Capital Group","Bowhead Specialty","Generali Global Corporate & Commercial","Hiscox","Skyward Specialty Insurance Group","Zurich North America",{"kpi":103,"label":104,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":86,"qualifier":87,"claimant":88,"organization":326,"vendorReported":11},{"slug":332,"title":333,"shortTitle":334,"definition":335,"status":29,"industries":336,"functions":338,"patterns":340,"audience":45,"autonomy":46,"adoptionStage":307,"evidenceCount":60,"publicEvidenceCount":60,"organizations":341,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"civil-servant-drafting-copilot","AI drafting copilot for civil servants for correspondence, briefings and ministerial replies","Civil servant drafting copilot","A generative AI assistant that drafts replies to correspondence from the public and elected representatives, briefings, submissions and summaries for civil servants, grounded in the department's approved lines, policy documents and case data, with the official editing and approving every word before it is sent or cleared.",[337],"government",[339,148,37],"citizen-services",[42,44,7],[342,343,344,345,346],"Cabinet Office (Government Communication Service)","Crown Prosecution Service","Department for Education","Department for Science, Innovation and Technology (Incubator for Artificial Intelligence)","Government Digital Service",{"slug":348,"title":349,"shortTitle":350,"definition":351,"status":29,"industries":352,"functions":353,"patterns":355,"audience":45,"autonomy":77,"adoptionStage":47,"segment":356,"evidenceCount":118,"publicEvidenceCount":118,"organizations":357,"bestGrade":81,"headline":122,"lastVerified":63,"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],[202,354],"lending-and-credit",[76,134,43,7],"lending",[358,359,360],"OakNorth Bank","PNC Financial Services","Sumitomo Mitsui Banking Corporation",{"slug":362,"title":363,"shortTitle":364,"definition":365,"status":29,"industries":366,"functions":367,"patterns":368,"audience":45,"autonomy":77,"adoptionStage":151,"evidenceCount":204,"publicEvidenceCount":204,"organizations":369,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"enterprise-knowledge-search","AI enterprise knowledge search for employees","Enterprise knowledge search","An assistant that lets any employee ask a question in plain language and get a synthesized answer from the organization's own policies, procedures, product manuals and research, with citations to the source documents and only from documents the employee is allowed to see.",[31,32,129,34,337,199],[148,114,38],[44,169,7],[186,370,371,372],"Morgan Stanley","SIGNAL IDUNA","Wells Fargo",{"slug":374,"title":375,"shortTitle":376,"definition":377,"status":29,"industries":378,"functions":379,"patterns":380,"audience":381,"autonomy":117,"adoptionStage":47,"segment":184,"evidenceCount":118,"publicEvidenceCount":118,"organizations":382,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"trade-document-examination","AI examination of trade documents under letters of credit and collections","Trade document examination","AI that reads the full document presentation under a letter of credit or collection (bill of lading, commercial invoice, packing list, certificates), extracts and cross checks the data, tests it against the instructions and the ICC rules (for letters of credit, the credit terms, UCP 600 and ISBP), and lists discrepancies by severity with the rule cited, so qualified examiners focus on the genuine exceptions.",[32],[114,39],[134,41,43,7],"back-office",[383,384,385],"ANZ, HSBC and Lloyds Banking Group","Rand Merchant Bank","Stanbic Bank Uganda",{"slug":387,"title":388,"shortTitle":389,"definition":390,"status":29,"industries":391,"functions":392,"patterns":393,"audience":45,"autonomy":117,"adoptionStage":47,"segment":48,"evidenceCount":15,"publicEvidenceCount":15,"organizations":394,"bestGrade":53,"headline":400,"lastVerified":63,"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.",[32,33],[132],[116,76,43,7],[395,310,396,311,397,398,399,312],"Australia Post","HSBC","Ratepay","Shift4","United Overseas Bank (UOB)",{"kpi":401,"label":402,"unit":85,"n":49,"nUpTo":20,"kind":59,"value":403,"qualifier":87,"claimant":88,"organization":398,"vendorReported":11},"false-positive-reduction","False positive reduction",86,{"slug":405,"title":406,"shortTitle":407,"definition":408,"status":29,"industries":409,"functions":410,"patterns":411,"audience":381,"autonomy":117,"adoptionStage":307,"segment":184,"evidenceCount":118,"publicEvidenceCount":118,"organizations":412,"bestGrade":81,"headline":416,"lastVerified":63,"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.",[32,33,198],[131,132],[134,43,41,7],[413,414,415],"BNY","Incore Bank","M-DAQ Global",{"kpi":417,"label":418,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":419,"qualifier":87,"claimant":62,"organization":413,"vendorReported":10},"automation-rate","Automation rate",25,{"slug":421,"title":422,"shortTitle":423,"definition":424,"status":29,"industries":425,"functions":426,"patterns":428,"audience":381,"autonomy":117,"adoptionStage":47,"segment":427,"evidenceCount":429,"publicEvidenceCount":430,"organizations":431,"bestGrade":53,"headline":438,"lastVerified":139,"indexable":11},"claims-triage-and-straight-through-processing","AI for claims triage and straight through processing","Claims triage and STP","AI that reads each new insurance claim and its documents, scores its complexity, cover questions, fraud and recovery signals, sends it to the right handling path and handler, and settles simple, low risk claims end to end within set limits without a person touching them.",[34],[427,114],"claims",[41,116,134,43,7],9,7,[432,433,327,434,435,436,437],"Admiral Seguros","Allianz Partners","Lemonade","Sedgwick","Tokio Marine & Nichido Fire Insurance","Travelers",{"kpi":417,"label":418,"unit":85,"n":58,"nUpTo":58,"kind":59,"value":439,"qualifier":61,"claimant":62,"organization":434,"vendorReported":10},55,{"slug":441,"title":442,"shortTitle":443,"definition":444,"status":29,"industries":445,"functions":446,"patterns":447,"audience":381,"autonomy":46,"adoptionStage":307,"segment":448,"evidenceCount":118,"publicEvidenceCount":118,"organizations":449,"bestGrade":53,"headline":122,"lastVerified":63,"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.",[31,32,34,33,35,337],[39,38,74],[41,7,43,44],"second-line",[450,451,452],"Centers for Medicare and Medicaid Services","Board of Governors of the Federal Reserve System","Federal Trade Commission",{"slug":454,"title":455,"shortTitle":456,"definition":457,"status":29,"industries":458,"functions":459,"patterns":460,"audience":45,"autonomy":46,"adoptionStage":47,"evidenceCount":204,"publicEvidenceCount":204,"organizations":461,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"court-and-case-file-summarization","AI for court and case file summarization","Case file summarization","AI that condenses court filings, case files, evidence recordings and earlier decisions into structured summaries, chronologies and draft case reports with references to the source pages, so that judges, prosecutors, tribunal staff and government lawyers find what matters faster, while the person responsible reads the underlying material and makes every legal judgment.",[337],[201,37],[7,134,44],[343,462,463,464],"U.S. Department of Justice","Gemeente Amsterdam","Supremo Tribunal Federal",{"slug":466,"title":467,"shortTitle":468,"definition":469,"status":29,"industries":470,"functions":471,"patterns":472,"audience":45,"autonomy":46,"adoptionStage":47,"evidenceCount":60,"publicEvidenceCount":60,"organizations":473,"bestGrade":53,"headline":479,"lastVerified":63,"indexable":11},"training-content-generation","AI for creating employee training and eLearning content","Training content creation","Generative AI that helps learning and development teams turn source material such as procedures, product documentation and policies into training: course outlines, lesson text, quizzes, narration, avatar videos and translations, which instructional designers and subject matter experts review before publishing.",[31,337,70,287],[97,148],[42,291,7],[474,475,476,477,478],"Carlsberg Group","Internal Revenue Service","U.S. Marshals Service","Veterans Benefits Administration","Zoom",{"kpi":103,"label":104,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":480,"qualifier":87,"claimant":88,"organization":478,"vendorReported":11},90,{"slug":482,"title":483,"shortTitle":484,"definition":485,"status":29,"industries":486,"functions":487,"patterns":488,"audience":45,"autonomy":46,"adoptionStage":151,"evidenceCount":204,"publicEvidenceCount":204,"organizations":489,"bestGrade":53,"headline":492,"lastVerified":63,"indexable":11},"ediscovery-and-disclosure-document-review","AI for eDiscovery and disclosure document review","eDiscovery document review","AI that sorts, prioritises and codes large collections of emails, chats and files for relevance, issues and legal privilege in litigation, investigations and regulatory requests, so that lawyers review the documents most likely to matter and can show the court how the rest were handled.",[31,199,337],[201,37],[41,134,7],[462,452,490,491],"Purpose Legal","Serious Fraud Office",{"kpi":103,"label":104,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":493,"qualifier":87,"claimant":88,"organization":490,"vendorReported":11},85,{"slug":495,"title":496,"shortTitle":497,"definition":498,"status":29,"industries":499,"functions":500,"patterns":501,"audience":45,"autonomy":46,"adoptionStage":47,"segment":427,"evidenceCount":60,"publicEvidenceCount":60,"organizations":502,"bestGrade":53,"headline":506,"lastVerified":63,"indexable":11},"health-prior-authorization-and-claims-adjudication","AI for health insurance prior authorization and claims adjudication support","Health prior authorization and adjudication","AI that reads prior authorization requests, medical claims and appeals with their clinical and billing documents, extracts diagnoses, treatments and costs, checks them against the policy and published clinical criteria, and prepares a summary and recommendation for a clinician or adjudicator, who makes every adverse decision.",[34,146],[427,37,114],[134,7,44,41,42],[503,504,450,505,225],"Acentra Health","AdvanceCare","ICICI Lombard",{"kpi":157,"label":158,"unit":85,"n":49,"nUpTo":20,"kind":59,"value":86,"qualifier":61,"claimant":88,"organization":503,"vendorReported":11},{"slug":508,"title":509,"shortTitle":510,"definition":511,"status":29,"industries":512,"functions":513,"patterns":514,"audience":381,"autonomy":117,"adoptionStage":151,"segment":381,"evidenceCount":270,"publicEvidenceCount":270,"organizations":515,"bestGrade":53,"headline":521,"lastVerified":63,"indexable":11},"correspondence-triage-and-routing","AI for inbound correspondence triage and routing","Correspondence triage and routing","AI that sorts inbound correspondence before anyone answers it: it takes every inbound letter, email, upload and secure message into one intake, identifies what it is, extracts the key fields, links it to the right customer and account, sets priority and routes it to the right team or workflow, replacing the manual sorting desk.",[31,32,34,337],[114,38,37],[41,134,7],[516,517,518,519,437,520],"Ecclesia Group","Encova Insurance","Loadsure","The Master Trust Bank of Japan","U.S. Department of Veterans Affairs",{"kpi":522,"label":523,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":524,"qualifier":87,"claimant":88,"organization":437,"vendorReported":11},"accuracy","Accuracy",91,{"slug":526,"title":527,"shortTitle":528,"definition":529,"status":29,"industries":530,"functions":531,"patterns":532,"audience":45,"autonomy":46,"adoptionStage":47,"evidenceCount":270,"publicEvidenceCount":60,"organizations":533,"bestGrade":53,"headline":539,"lastVerified":63,"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.",[31,32,70,35,33],[73,114,202],[76,41,7,44,43],[534,535,536,537,538],"Google","Meta","Microsoft","Mizuho Financial Group","TD Bank",{"kpi":522,"label":523,"unit":85,"n":118,"nUpTo":20,"kind":540,"value":480,"qualifier":87,"claimant":122,"organization":122,"vendorReported":10},"median",{"slug":542,"title":543,"shortTitle":544,"definition":545,"status":29,"industries":546,"functions":547,"patterns":548,"audience":45,"autonomy":46,"adoptionStage":47,"evidenceCount":270,"publicEvidenceCount":60,"organizations":549,"bestGrade":53,"headline":553,"lastVerified":63,"indexable":11},"legacy-code-modernization","AI for legacy code modernization","Legacy code modernization","AI that reads legacy code such as COBOL, PL/I or old Java, explains what each program does, maps its data flows and dependencies, drafts the equivalent modern code or specification, and generates the regression tests needed to prove the new system behaves like the old one.",[31,32,198,288,70],[73],[250,7,43],[550,551,534,370,552],"Airbnb","Amazon","Toyota Motor Europe",{"kpi":103,"label":104,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":86,"qualifier":61,"claimant":62,"organization":534,"vendorReported":10},{"slug":555,"title":556,"shortTitle":557,"definition":558,"status":29,"industries":559,"functions":560,"patterns":561,"audience":45,"autonomy":46,"adoptionStage":47,"segment":448,"evidenceCount":60,"publicEvidenceCount":60,"organizations":562,"bestGrade":53,"headline":567,"lastVerified":139,"indexable":11},"market-abuse-surveillance-triage","AI for market abuse surveillance alert triage","Market abuse surveillance","AI that helps surveillance analysts triage market abuse and conduct alerts, such as spoofing, layering, wash trades, ramping and insider dealing, by gathering the trade, order, news and communications context, explaining in plain language what triggered each alert and drafting the investigation narrative for the analyst to disposition.",[198,32,129],[39,132],[76,43,7,41],[563,138,564,565,566],"Commodity Futures Trading Commission","Japan Exchange Group","Nasdaq","U.S. Securities and Exchange Commission",{"kpi":157,"label":158,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":568,"qualifier":61,"claimant":62,"organization":565,"vendorReported":10},33,{"slug":570,"title":571,"shortTitle":572,"definition":573,"status":29,"industries":574,"functions":575,"patterns":576,"audience":381,"autonomy":117,"adoptionStage":47,"evidenceCount":204,"publicEvidenceCount":204,"organizations":577,"bestGrade":53,"headline":582,"lastVerified":63,"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.",[33,70,32],[131,113,202],[116,76,41,7,43],[578,579,580,581],"Airwallex","Tekmetric","Visa","Weave Communications",{"kpi":583,"label":584,"unit":85,"n":49,"nUpTo":20,"kind":59,"value":585,"qualifier":61,"claimant":88,"organization":581,"vendorReported":11},"alert-volume-reduction","Alert volume reduction",89,{"slug":587,"title":588,"shortTitle":589,"definition":590,"status":29,"industries":591,"functions":592,"patterns":593,"audience":381,"autonomy":46,"adoptionStage":47,"segment":48,"evidenceCount":118,"publicEvidenceCount":118,"organizations":594,"bestGrade":53,"headline":122,"lastVerified":63,"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.",[32,33],[113,132],[76,116,43,7],[595,596,597],"BigPay","ANZ, Commonwealth Bank, NAB, Suncorp Bank and Westpac (BioCatch Trust Australia)","Reserve Bank Innovation Hub (Reserve Bank of India)",{"slug":599,"title":600,"shortTitle":601,"definition":602,"status":29,"industries":603,"functions":604,"patterns":605,"audience":45,"autonomy":46,"adoptionStage":47,"segment":48,"evidenceCount":430,"publicEvidenceCount":430,"organizations":606,"bestGrade":53,"headline":611,"lastVerified":63,"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.",[32,33,129],[132,131],[44,7,41,291],[138,396,607,608,609,610,239],"Mashreq","OCBC","Santander UK","Save the Children",{"kpi":157,"label":158,"unit":85,"n":58,"nUpTo":58,"kind":59,"value":612,"qualifier":280,"claimant":88,"organization":610,"vendorReported":11},60,{"slug":614,"title":615,"shortTitle":616,"definition":617,"status":29,"industries":618,"functions":619,"patterns":620,"audience":381,"autonomy":117,"adoptionStage":307,"segment":48,"evidenceCount":60,"publicEvidenceCount":60,"organizations":621,"bestGrade":53,"headline":625,"lastVerified":139,"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.",[32,33,129],[131,132],[43,134,44,7],[138,622,623,608,624],"First National Bank of Omaha (FNBO)","JPMorgan Chase","Origin Bank",{"kpi":626,"label":627,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":628,"qualifier":87,"claimant":62,"organization":623,"vendorReported":10},"cost-reduction","Cost reduction",40,{"slug":630,"title":631,"shortTitle":632,"definition":633,"status":29,"industries":634,"functions":635,"patterns":636,"audience":45,"autonomy":46,"adoptionStage":307,"segment":448,"evidenceCount":118,"publicEvidenceCount":118,"organizations":637,"bestGrade":53,"headline":122,"lastVerified":139,"indexable":11},"policy-drafting-and-gap-analysis","AI for policy drafting and policy gap analysis","Policy drafting and gaps","An assistant that takes a new or changed obligation, finds every internal policy, standard and procedure it touches, flags clauses that now conflict or are silent, and drafts the updated wording in house style as a redline for the policy owner to approve.",[31,32,34,198,337],[39,201,148],[44,42,134,7],[638,639,640],"Federal Deposit Insurance Corporation","Administration for Children and Families","Health Resources and Services Administration",{"slug":642,"title":643,"shortTitle":644,"definition":645,"status":29,"industries":646,"functions":647,"patterns":648,"audience":381,"autonomy":46,"adoptionStage":47,"evidenceCount":60,"publicEvidenceCount":60,"organizations":649,"bestGrade":53,"headline":653,"lastVerified":63,"indexable":11},"public-consultation-response-analysis","AI for public consultation response analysis","Consultation response analysis","AI that reads every free text response to a public consultation or rulemaking comment period, proposes themes, maps each response to the themes that officials have validated, flags duplicates, campaign letters and responses that need special attention, and produces counts and summaries for the analysts who write the government's response.",[337],[339,74],[7,41,42],[650,451,651,345,652],"Centers for Disease Control and Prevention","Department for Transport","U.S. Department of Transportation, Office of the Secretary",{"kpi":522,"label":523,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":654,"qualifier":280,"claimant":62,"organization":651,"vendorReported":10},92,{"slug":656,"title":657,"shortTitle":658,"definition":659,"status":29,"industries":660,"functions":661,"patterns":663,"audience":45,"autonomy":46,"adoptionStage":307,"segment":381,"evidenceCount":49,"publicEvidenceCount":49,"organizations":664,"bestGrade":53,"headline":122,"lastVerified":63,"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.",[32,34,198,33],[39,662,132],"finance-and-accounting",[43,76,42,7],[451,665],"National Credit Union Administration",{"slug":667,"title":668,"shortTitle":669,"definition":670,"status":29,"industries":671,"functions":672,"patterns":674,"audience":45,"autonomy":117,"adoptionStage":47,"evidenceCount":430,"publicEvidenceCount":430,"organizations":675,"bestGrade":53,"headline":683,"lastVerified":63,"indexable":11},"security-alert-triage-and-investigation","AI for security alert triage and investigation in the SOC","Security alert triage","An AI agent in the security operations centre that picks up each new alert or user reported phishing email, gathers the evidence from the SIEM, endpoint, identity and threat intelligence tools, gives a verdict with its reasoning and a draft incident summary, and closes clear false positives while an analyst approves every containment action.",[31,146,70,337,199],[673,73],"security-operations",[43,41,7,44],[676,677,678,679,680,681,682],"Avanade","Federal Housing Finance Agency","Human Managed","SEP2","St. Luke's University Health Network","TÜV SÜD","U.S. Immigration and Customs Enforcement",{"kpi":83,"label":84,"unit":85,"n":118,"nUpTo":20,"kind":540,"value":612,"qualifier":87,"claimant":122,"organization":122,"vendorReported":10},{"slug":685,"title":686,"shortTitle":687,"definition":688,"status":29,"industries":689,"functions":690,"patterns":692,"audience":381,"autonomy":77,"adoptionStage":47,"segment":427,"evidenceCount":204,"publicEvidenceCount":49,"organizations":693,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"subrogation-opportunity-detection","AI for subrogation opportunity detection","Subrogation detection","AI that reads open and closed claims to find cases where a third party is wholly or partly liable, estimates liability and the recoverable amount under the applicable negligence and recovery rules, and sends scored recovery opportunities with their reasons to the subrogation team.",[34],[427,691],"collections-and-recovery",[41,116,134,7],[694,695],"Central Insurance","Elephant Insurance",{"slug":697,"title":698,"shortTitle":699,"definition":700,"status":29,"industries":701,"functions":702,"patterns":703,"audience":45,"autonomy":46,"adoptionStage":307,"evidenceCount":204,"publicEvidenceCount":204,"organizations":704,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"support-knowledge-article-generation","AI for support knowledge article generation and maintenance","Knowledge article generation","AI that drafts knowledge base articles from resolved tickets, cases and conversations, detects questions the knowledge base does not answer and articles that are outdated or contradict each other, and proposes new or revised articles for a knowledge owner to review and publish.",[31,337,288],[148,38,73],[42,7,41],[650,475,705,706],"U.S. National Science Foundation","Rivian",{"slug":708,"title":709,"shortTitle":710,"definition":711,"status":29,"industries":712,"functions":713,"patterns":715,"audience":45,"autonomy":46,"adoptionStage":47,"segment":448,"evidenceCount":204,"publicEvidenceCount":204,"organizations":716,"bestGrade":53,"headline":122,"lastVerified":63,"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.",[31,32,34,337,33],[714,202,39],"procurement",[134,44,43,7],[462,475,717,718],"U.S. Department of Agriculture","U.S. Trade and Development Agency",{"slug":720,"title":721,"shortTitle":722,"definition":723,"status":29,"industries":724,"functions":725,"patterns":727,"audience":381,"autonomy":46,"adoptionStage":151,"evidenceCount":60,"publicEvidenceCount":60,"organizations":728,"bestGrade":53,"headline":734,"lastVerified":63,"indexable":11},"customer-feedback-analysis","AI for voice of the customer and feedback analysis","Customer feedback analysis","AI that reads every piece of free text customer feedback, such as survey verbatims, NPS comments, reviews, social posts, chat and call transcripts, and turns it into themes, sentiment, drivers and suggested actions that a named owner can act on, so the organization hears all of its customers instead of a sample.",[31,71,337,287],[38,726,74],"marketing",[41,7,150],[729,730,731,732,733],"U.S. Department of Housing and Urban Development","Majid Al Futtaim Retail","Mattel","SBF Group","U.S. Social Security Administration",{"kpi":522,"label":523,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":105,"qualifier":87,"claimant":88,"organization":732,"vendorReported":11},{"slug":736,"title":737,"shortTitle":738,"definition":739,"status":29,"industries":740,"functions":741,"patterns":742,"audience":381,"autonomy":46,"adoptionStage":47,"segment":48,"evidenceCount":118,"publicEvidenceCount":49,"organizations":743,"bestGrade":81,"headline":122,"lastVerified":63,"indexable":11},"portfolio-reporting-and-commentary","AI generated client portfolio reports and commentary","Portfolio commentary","AI that drafts each client's periodic portfolio commentary and report narrative (performance, attribution, what drove returns, positioning and outlook) in plain language and in the client's language, where every figure comes from the portfolio system of record and a reviewer approves the text before delivery.",[129,32],[74,38,114],[42,7,291],[370,744],"Quilter",{"slug":746,"title":747,"shortTitle":748,"definition":749,"status":29,"industries":750,"functions":751,"patterns":752,"audience":45,"autonomy":46,"adoptionStage":47,"evidenceCount":204,"publicEvidenceCount":204,"organizations":753,"bestGrade":53,"headline":756,"lastVerified":63,"indexable":11},"legal-research-and-drafting-assistant","AI legal research and drafting assistant for lawyers","Legal research and drafting","A generative AI assistant for lawyers in firms, legal departments and public bodies that finds and summarises case law, legislation and internal know how, answers legal questions with citations and drafts first versions of memos, briefings, letters and filings, which a lawyer verifies and signs off.",[199,31,337],[201,148],[44,42,7,134],[754,755,462,566],"A&O Shearman","Ashurst Perkins Coie",{"kpi":83,"label":84,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":757,"qualifier":61,"claimant":62,"organization":755,"vendorReported":10},45,{"slug":759,"title":760,"shortTitle":761,"definition":762,"status":29,"industries":763,"functions":764,"patterns":765,"audience":45,"autonomy":46,"adoptionStage":151,"segment":135,"evidenceCount":270,"publicEvidenceCount":270,"organizations":766,"bestGrade":53,"headline":769,"lastVerified":63,"indexable":11},"client-meeting-notes-and-crm-update","AI meeting notes and CRM update for wealth advisors","Advisor meeting notes","An AI notetaker for wealth advisors that turns a client advice meeting, recorded with the client's consent, into the file note, follow up message and CRM record the firm needs to evidence its advice; unlike a general meeting summarizer, its output becomes part of the regulated client record. It drafts a structured note with the client's goals, circumstances, decisions and action items, and writes it into the CRM once the advisor has approved it.",[129,32],[220,39,114],[7,150,43,42],[186,767,370,744,121,768],"Commerzbank","UniSuper",{"kpi":83,"label":84,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":770,"qualifier":87,"claimant":88,"organization":121,"vendorReported":11},15,{"slug":772,"title":773,"shortTitle":774,"definition":775,"status":29,"industries":776,"functions":777,"patterns":778,"audience":45,"autonomy":46,"adoptionStage":151,"evidenceCount":60,"publicEvidenceCount":60,"organizations":779,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"meeting-summarization-and-action-items","AI meeting summarization and action items","Meeting summaries and action items","AI that summarizes internal and operational meetings, such as team, project, board and case meetings: it transcribes an online or in person meeting with the participants' knowledge and produces a summary, decisions and action items with owners and dates for the organizer to check and share. It is the general purpose tool; client advice meetings and sales calls, which feed a regulated record or a sales pipeline, have their own pages.",[31,337,70,199],[148,114],[7,150],[780,781,782,783,346],"U.S. Department of Labor","Ministry of Justice","Softcat","Trace3",{"slug":785,"title":786,"shortTitle":787,"definition":788,"status":29,"industries":789,"functions":791,"patterns":792,"audience":381,"autonomy":117,"adoptionStage":47,"evidenceCount":60,"publicEvidenceCount":60,"organizations":793,"bestGrade":81,"headline":799,"lastVerified":63,"indexable":11},"call-quality-and-compliance-monitoring","AI quality and compliance monitoring of every customer interaction","Call quality and compliance","Automated quality assurance that transcribes and scores every customer interaction, voice and chat, against the organization's own rubric, checking required disclosures and script adherence, flagging conduct and mis selling risk, and surfacing coaching opportunities, instead of the small sample a human QA team can review.",[31,32,34,790,35,71],"energy-and-utilities",[38,39,114],[150,41,7],[794,795,796,797,798],"British Gas","Central Bank","DoorDash","Oportun","VitalityHealth",{"kpi":800,"label":801,"unit":85,"n":58,"nUpTo":20,"kind":59,"value":802,"qualifier":61,"claimant":88,"organization":794,"vendorReported":11},"quality-score-uplift","Quality score uplift",10,{"slug":804,"title":805,"shortTitle":806,"definition":807,"status":29,"industries":808,"functions":810,"patterns":811,"audience":45,"autonomy":77,"adoptionStage":47,"segment":812,"evidenceCount":204,"publicEvidenceCount":49,"organizations":813,"bestGrade":53,"headline":122,"lastVerified":63,"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.",[31,32,34,33,129,809,337],"pharma-and-life-sciences",[39,201,202],[41,134,44,7,43],"compliance",[814,639],"Financial Conduct Authority",{"slug":816,"title":817,"shortTitle":818,"definition":819,"status":29,"industries":820,"functions":821,"patterns":822,"audience":45,"autonomy":46,"adoptionStage":151,"evidenceCount":270,"publicEvidenceCount":270,"organizations":823,"bestGrade":53,"headline":829,"lastVerified":63,"indexable":11},"email-and-ticket-reply-drafting","AI reply drafting for customer email and support tickets","Email and ticket reply drafting","A copilot for asynchronous service work that drafts the reply to an incoming customer email, message or ticket once it has reached an agent: it summarizes the request, pulls the relevant customer data and approved knowledge, and drafts a reply in the organization's tone and the customer's language for the agent to check, edit and send. Live calls and chats, and the sorting of the inbox itself, are separate use cases.",[31,337,32,35,70],[38,114],[42,7,44,41],[650,824,825,826,827,828],"First National Bank","HYPE","Nomad eSIM","Transportation Security Administration","Turing",{"kpi":103,"label":104,"unit":85,"n":49,"nUpTo":20,"kind":59,"value":86,"qualifier":61,"claimant":88,"organization":825,"vendorReported":11},{"slug":831,"title":832,"shortTitle":833,"definition":834,"status":29,"industries":835,"functions":836,"patterns":837,"audience":45,"autonomy":46,"adoptionStage":47,"evidenceCount":204,"publicEvidenceCount":204,"organizations":838,"bestGrade":81,"headline":842,"lastVerified":63,"indexable":11},"sales-call-coaching-and-crm-update","AI sales call coaching and CRM update","Sales call coaching and CRM update","AI for sales teams that analyses sales calls and meetings against the team's own sales method to coach sellers and their managers, and writes the call summary, next steps and opportunity updates into the CRM for the seller to confirm. Its purpose is winning deals and building selling skill, not the regulated advice record or general meeting notes.",[31,35,287,34],[220],[150,7,42],[839,840,841,229],"Hughes Network Systems","Lumen Technologies","Sandvik Coromant",{"kpi":55,"label":56,"unit":57,"n":58,"nUpTo":58,"kind":59,"value":118,"qualifier":87,"claimant":62,"organization":841,"vendorReported":10},{"slug":844,"title":845,"shortTitle":846,"definition":847,"status":29,"industries":848,"functions":849,"patterns":850,"audience":381,"autonomy":117,"adoptionStage":307,"segment":184,"evidenceCount":118,"publicEvidenceCount":118,"organizations":851,"bestGrade":81,"headline":122,"lastVerified":63,"indexable":11},"trade-finance-crime-screening","AI screening of trade finance transactions for trade based money laundering","Trade crime screening","AI that screens every trade finance transaction for financial crime risk: it checks parties, vessels and ports against sanctions and watchlists, tests goods descriptions against dual use and controlled goods lists, compares unit prices with benchmarks for over or under invoicing, and reads trade documents and messages for laundering red flags, then prepares a case narrative for a human investigator.",[32],[132,114],[134,76,41,7],[383,385,852],"United Bank Limited",{"slug":854,"title":855,"shortTitle":856,"definition":857,"status":29,"industries":858,"functions":859,"patterns":860,"audience":381,"autonomy":117,"adoptionStage":47,"evidenceCount":204,"publicEvidenceCount":204,"organizations":861,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"procurement-spend-classification","AI spend classification and spend analytics for procurement","Spend classification","AI that reads purchase orders, invoices, card transactions and contracts and assigns each line of spend to a category in the organization's taxonomy, and to the right supplier, so that procurement can see what is bought, from whom and where to consolidate or negotiate.",[31,337,287,146],[714,662,74],[41,134,7],[862,475,717,863],"U.S. General Services Administration","Veterans Health Administration",{"slug":865,"title":866,"shortTitle":867,"definition":868,"status":29,"industries":869,"functions":870,"patterns":871,"audience":45,"autonomy":46,"adoptionStage":47,"segment":135,"evidenceCount":204,"publicEvidenceCount":204,"organizations":872,"bestGrade":53,"headline":875,"lastVerified":63,"indexable":11},"investment-research-summarization","AI summaries of investment research and the house view","Research summaries","An AI assistant that condenses long research reports, overnight market moves and the house view into short, sourced briefings for advisors and analysts, answers \"what is our view on X\" on demand, and adapts approved research for different client segments and languages, with every figure traced to the original research.",[129,198,32],[74,220,148],[7,44,42,291],[873,138,370,874],"Citi","UBS",{"kpi":55,"label":56,"unit":57,"n":20,"nUpTo":58,"kind":59,"value":876,"qualifier":212,"claimant":62,"organization":138,"vendorReported":10},120,{"slug":878,"title":879,"shortTitle":880,"definition":881,"status":29,"industries":882,"functions":883,"patterns":884,"audience":45,"autonomy":46,"adoptionStage":47,"segment":320,"evidenceCount":49,"publicEvidenceCount":49,"organizations":885,"bestGrade":53,"headline":122,"lastVerified":63,"indexable":11},"life-underwriting-medical-record-summarization","AI summarization of medical evidence for life and health underwriting","Life underwriting medical summaries","AI that reads the medical evidence behind a life or health insurance application (attending physician statements, electronic health records, lab results and disclosures), turns it into a structured, cited summary of conditions, treatments and dates, and maps it to the insurer's underwriting manual so an 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