[{"data":1,"prerenderedAt":256},["ShallowReactive",2],{"uc-hub-industry-pharma-and-life-sciences":3},{"type":4,"typeLabel":5,"term":6,"includeUnpublished":10,"indexable":11,"stats":12,"useCases":19,"benchmarks":185,"topIndustries":186,"topFunctions":187,"topPatterns":204,"stageMix":221,"regionMix":233,"organizations":242,"other":243},"industry","Industry",{"id":7,"label":8,"description":9},"pharma-and-life-sciences","Pharma and life sciences","Pharmaceutical, biotech and medical device companies: research, regulatory submissions, medical information and commercial operations.",false,true,{"useCases":13,"publicDeployments":13,"blitsAiDeployments":14,"organizations":15,"countries":16,"outcomeDisclosureRate":17,"gradeMix":18},8,0,7,4,63,{"A":14,"B":16,"C":16,"D":14},[20,53,79,107,122,139,157,171],{"slug":21,"title":22,"shortTitle":23,"definition":24,"status":25,"industries":26,"functions":29,"patterns":31,"audience":36,"autonomy":37,"adoptionStage":38,"segment":36,"evidenceCount":39,"publicEvidenceCount":39,"organizations":40,"bestGrade":43,"headline":44,"lastVerified":52,"indexable":11},"travel-and-expense-audit-agent","AI agent for travel and expense report audit","Travel and expense audit","An AI agent that checks every travel and expense report line against policy, receipts and prior submissions instead of a small manual sample, flags duplicates, altered receipts and policy violations with the evidence attached, and auto approves the clean majority so auditors spend their time on the reports that are genuinely risky.","published",[27,7,28],"cross-industry","technology",[30],"finance-and-accounting",[32,33,34,35],"document-processing","anomaly-detection","classification-and-routing","agentic-workflow","back-office","supervised-agent","early-adopters",2,[41,42],"Databricks","Takeda","C",{"kpi":45,"label":46,"unit":47,"n":39,"nUpTo":14,"kind":48,"value":49,"qualifier":50,"claimant":51,"organization":41,"vendorReported":11},"automation-rate","Automation rate","percent","reported",72,"exact","vendor","2026-09-28",{"slug":54,"title":55,"shortTitle":56,"definition":57,"status":25,"industries":58,"functions":60,"patterns":63,"audience":64,"autonomy":65,"adoptionStage":38,"evidenceCount":66,"publicEvidenceCount":66,"organizations":67,"bestGrade":71,"headline":72,"lastVerified":78,"indexable":11},"clinical-trial-patient-matching","AI clinical trial patient matching and prescreening","Clinical trial patient matching","AI that reads structured data and clinical notes in the health record, compares each patient with the inclusion and exclusion criteria of open clinical trials, and gives research staff and treating clinicians a ranked list of likely eligible patients with the evidence for each criterion, so that people confirm eligibility and invite the patient.",[59,7],"healthcare",[61,62],"operations","analytics-and-reporting",[32,34],"employee-facing","assist",3,[68,69,70],"Cleveland Clinic","Mount Sinai Health System","Yale Cancer Center","B",{"kpi":73,"label":74,"unit":47,"n":75,"nUpTo":14,"kind":48,"value":76,"qualifier":50,"claimant":77,"organization":68,"vendorReported":10},"accuracy","Accuracy",1,100,"organization","2026-09-27",{"slug":80,"title":81,"shortTitle":82,"definition":83,"status":25,"industries":84,"functions":89,"patterns":93,"audience":64,"autonomy":97,"adoptionStage":38,"evidenceCount":98,"publicEvidenceCount":66,"organizations":99,"bestGrade":71,"headline":103,"lastVerified":78,"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.",[27,85,86,87,88,7],"banking","insurance","payments","wealth-and-asset-management",[90,91,92],"marketing","regulatory-compliance","legal",[94,95,34,96],"content-generation","rag-knowledge-assistant","translation","copilot",5,[100,101,102],"Ally Financial","JPMorgan Chase","Klarna",{"kpi":104,"label":105,"unit":47,"n":75,"nUpTo":14,"kind":48,"value":106,"qualifier":50,"claimant":77,"organization":100,"vendorReported":10},"productivity-gain","Productivity gain",34,{"slug":108,"title":109,"shortTitle":110,"definition":111,"status":25,"industries":112,"functions":113,"patterns":114,"audience":64,"autonomy":97,"adoptionStage":38,"evidenceCount":39,"publicEvidenceCount":39,"organizations":115,"bestGrade":71,"headline":118,"lastVerified":78,"indexable":11},"clinical-and-regulatory-document-drafting","AI drafting of clinical study reports and regulatory documents","Clinical and regulatory document drafting","Generative AI that drafts clinical study reports and other regulated documents, such as protocols, patient materials and submission modules, from the trial's statistical tables, listings and figures and from approved template text, for medical writers to verify, edit and approve before anything is submitted to a regulator.",[7],[91,61],[94,95,32],[116,117],"Merck & Co.","Novo Nordisk",{"kpi":119,"label":120,"unit":47,"n":75,"nUpTo":14,"kind":48,"value":121,"qualifier":50,"claimant":77,"organization":116,"vendorReported":10},"error-reduction","Error reduction",50,{"slug":123,"title":124,"shortTitle":125,"definition":126,"status":25,"industries":127,"functions":129,"patterns":131,"audience":36,"autonomy":37,"adoptionStage":38,"evidenceCount":16,"publicEvidenceCount":16,"organizations":133,"bestGrade":71,"headline":138,"lastVerified":78,"indexable":11},"adverse-event-case-intake","AI for pharmacovigilance adverse event case intake","Adverse event case intake","AI that takes in adverse event reports about medicines, vaccines and devices from calls, emails, forms, literature and partner files, decides whether each is a valid case, flags seriousness, extracts and codes the case data into the safety database format, and routes it to drug safety professionals, who review medical content and regulatory reporting.",[7,128],"government",[91,130,61],"case-management",[32,34,132],"conversational-agent",[134,135,136,137],"Bayer","U.S. Food and Drug Administration, Center for Drug Evaluation and Research","U.S. Food and Drug Administration","Pfizer",null,{"slug":140,"title":141,"shortTitle":142,"definition":143,"status":25,"industries":144,"functions":145,"patterns":146,"audience":64,"autonomy":97,"adoptionStage":38,"segment":148,"evidenceCount":39,"publicEvidenceCount":39,"organizations":149,"bestGrade":71,"headline":152,"lastVerified":52,"indexable":11},"ai-drug-discovery-platform","AI native platform for drug target discovery and molecule design","AI drug discovery platform","An AI native research platform that prioritizes disease targets from biological data, generates and optimizes candidate drug molecules computationally, and predicts their properties before a chemist synthesizes and tests them, so a pharmaceutical or biotech company reaches a validated preclinical candidate with far fewer molecules made and tested than a conventional medicinal chemistry program.",[7],[61,62],[147,94],"prediction-and-scoring","drug discovery",[150,151],"Insilico Medicine","Recursion Pharmaceuticals",{"kpi":153,"label":154,"unit":47,"n":39,"nUpTo":14,"kind":48,"value":155,"qualifier":156,"claimant":77,"organization":150,"vendorReported":10},"processing-time-reduction","Cycle time reduction",60,"approximately",{"slug":158,"title":159,"shortTitle":160,"definition":161,"status":25,"industries":162,"functions":163,"patterns":165,"audience":64,"autonomy":65,"adoptionStage":38,"segment":167,"evidenceCount":16,"publicEvidenceCount":39,"organizations":168,"bestGrade":71,"headline":138,"lastVerified":78,"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.",[27,85,86,87,88,7,128],[91,92,164],"risk-management",[34,32,95,166,35],"summarization","compliance",[169,170],"Financial Conduct Authority","Administration for Children and Families",{"slug":172,"title":173,"shortTitle":174,"definition":175,"status":25,"industries":176,"functions":178,"patterns":180,"audience":64,"autonomy":65,"adoptionStage":38,"evidenceCount":66,"publicEvidenceCount":66,"organizations":182,"bestGrade":71,"headline":138,"lastVerified":78,"indexable":11},"governed-text-to-sql-analytics","Governed text to SQL analytics assistant","Governed SQL analytics","An assistant that turns a business user's plain language question into a query against governed data, runs it under that user's own data permissions and returns the table or chart together with the SQL and the tables used, so routine ad hoc questions no longer queue for the data team.",[27,85,86,177,28,7],"retail-and-ecommerce",[62,179],"it-and-engineering",[132,181,95],"code-generation",[134,183,184],"LinkedIn","Uber Technologies",[],[],[188,190,192,194,196,198,200,202],{"id":61,"label":189,"count":16},"Operations",{"id":91,"label":191,"count":16},"Regulatory compliance",{"id":62,"label":193,"count":66},"Analytics and reporting",{"id":92,"label":195,"count":39},"Legal",{"id":130,"label":197,"count":75},"Case management",{"id":30,"label":199,"count":75},"Finance and accounting",{"id":179,"label":201,"count":75},"IT and engineering",{"id":90,"label":203,"count":75},"Marketing",[205,207,209,211,213,215,217,219],{"id":34,"label":206,"count":98},"Classification and routing",{"id":32,"label":208,"count":98},"Document processing",{"id":95,"label":210,"count":16},"RAG knowledge assistant",{"id":94,"label":212,"count":66},"Content generation",{"id":35,"label":214,"count":39},"Agentic workflow",{"id":132,"label":216,"count":39},"Conversational agent",{"id":33,"label":218,"count":75},"Anomaly detection",{"id":181,"label":220,"count":75},"Code generation",[222,224,226,229,231],{"stage":223,"count":75},"announced",{"stage":225,"count":14},"pilot",{"stage":227,"count":228},"production",6,{"stage":230,"count":75},"scaled",{"stage":232,"count":14},"paused",[234,236,238,240],{"region":235,"count":66},"europe",{"region":237,"count":66},"north-america",{"region":239,"count":75},"global",{"region":241,"count":75},"asia-pacific",[134,150,116,117,137,151,42],{"records":244,"organizations":244,"byIndustry":245},13,[246,248,250,252,254],{"id":128,"label":247,"count":16,"hub":11},"Government and public sector",{"id":59,"label":249,"count":66,"hub":11},"Healthcare",{"id":28,"label":251,"count":66,"hub":11},"Technology and software",{"id":85,"label":253,"count":39,"hub":11},"Banking",{"id":87,"label":255,"count":75,"hub":11},"Payments and cards",1790598311338]