[{"data":1,"prerenderedAt":153},["ShallowReactive",2],{"uc-org-deutsche-bank":3},{"organization":4,"includeUnpublished":13,"evidence":14},{"slug":5,"name":6,"country":7,"region":8,"industry":9,"records":10,"useCases":11,"indexable":12},"deutsche-bank","Deutsche Bank","DE","europe","banking",4,6,true,false,[15,46,77,119],{"title":16,"useCases":17,"organization":20,"vendors":22,"summary":23,"stage":24,"year":25,"channels":26,"languages":28,"metrics":29,"outcomeDisclosed":13,"sources":30,"verification":36,"grade":39,"id":40,"useCaseTitles":41},"Deutsche Bank: agentic AI for Source of Wealth checks in private bank onboarding",[18,19],"digital-onboarding-assistant","source-of-wealth-diligence",{"name":6,"anonymized":13,"country":7,"region":21,"industry":9},"asia-pacific",[],"Deutsche Bank Private Bank put an agentic AI solution live in its Singapore and Hong Kong booking centres that researches, documents and prepares Source of Wealth assessments, which the bank calls one of the most resource intensive parts of know your customer checks. It reads client documents alongside approved external data, flags gaps and inconsistencies, and hands the assessment to bank staff for review; relationship managers in Dubai use it for accounts booked in Singapore. The bank stresses that accountability stays with its people. No outcome figures are disclosed; the growth figures in the coverage are forecasts.","production",2026,[27],"internal-tools",[],[],[31],{"url":32,"title":33,"publisher":34,"date":35},"https://www.fstech.co.uk/fst/Deutsche_Bank_Rolls_Out_Agentic_AI_To_Streamline_KYC_Onboarding_In_Private_Banking.php","Deutsche Bank rolls out agentic AI to streamline KYC onboarding in private banking","FStech","2026-09-23",{"level":37,"checkedAt":38},"source-verified","2026-09-26","C","deutsche-bank-source-of-wealth-kyc-agent",[42,44],{"slug":18,"title":43},"AI assistant for digital account onboarding and KYC",{"slug":19,"title":45},"AI agent for source of wealth due diligence in private banking",{"title":47,"useCases":48,"organization":50,"vendors":51,"summary":55,"stage":56,"year":25,"channels":57,"languages":58,"metrics":60,"outcomeDisclosed":13,"sources":61,"verification":72,"grade":39,"id":73,"useCaseTitles":74},"Deutsche Bank: agentic AI for trade and communications surveillance with Google Cloud (reported)",[49],"market-abuse-surveillance-triage",{"name":6,"anonymized":13,"country":7,"region":8,"industry":9},[52],{"name":53,"role":54},"Google Cloud","platform","According to Bloomberg reporting relayed by trade press in February 2026, Deutsche Bank is working with Google Cloud on AI agents that monitor trading, spot anomalies in orders, trades and market moves and flag them to a human compliance officer, and plans to use the same approach on the communications of client facing staff such as traders and salespeople. AI News adds that Goldman Sachs is exploring agentic surveillance too and that human compliance staff remain responsible for reviewing flagged cases. No bank statement or outcome figure was found.","announced",[27],[59],"en",[],[62,67],{"url":63,"title":64,"publisher":65,"date":66},"https://www.pymnts.com/news/artificial-intelligence/2026/deutsche-bank-google-build-ai-agents-patrol-trading/","Deutsche Bank and Google Build AI Agents to Patrol Trading","PYMNTS","2026-02-25",{"url":68,"title":69,"publisher":70,"date":71},"https://www.artificialintelligence-news.com/news/goldman-sachs-and-deutsche-bank-test-agentic-ai-for-trade-surveillance/","Goldman Sachs and Deutsche Bank test agentic AI for trade surveillance","AI News","2026-02-27",{"level":37,"checkedAt":38},"deutsche-bank-agentic-trade-surveillance",[75],{"slug":49,"title":76},"AI for market abuse surveillance alert triage",{"title":78,"useCases":79,"organization":81,"vendors":83,"summary":87,"stage":24,"year":88,"channels":89,"languages":90,"metrics":91,"outcomeDisclosed":12,"sources":108,"verification":113,"grade":39,"id":115,"useCaseTitles":116},"Deutsche Bank: DB Lumina research agent for analysts",[80],"investment-research-summarization",{"name":6,"anonymized":13,"country":7,"region":8,"industry":82},"capital-markets",[84,85],{"name":53,"role":54},{"name":6,"role":86},"in-house","Deutsche Bank Research built DB Lumina, a research agent on Google Cloud and Gemini models that helps analysts ingest documents, summarize earnings releases and investor transcripts, answer questions with inline citations and edit notes, with guardrails, access control and audit logging. It went live in September 2024 and, when the bank described it in September 2025, was used by around 5,000 people across Deutsche Bank Research and divisions such as Investment Bank Origination and Advisory and Fixed Income and Currencies. Analysts report saving 30 to 45 minutes on earnings note templates and up to two hours on research reports and roadshow updates. The bank evaluates it with stable test sets, automated metrics and human review.",2024,[27],[59],[92,101],{"kpi":93,"value":94,"unit":95,"qualifier":96,"period":97,"claimant":98,"quote":99,"sourceUrl":100},"users-served",5000,"count","approximately","users at publication in September 2025","organization","Currently, DB Lumina is already in the hands of around 5,000 users across Deutsche Bank Research, specifically in divisions like Investment Bank Origination & Advisory and Fixed Income & Currencies.","https://cloud.google.com/blog/topics/financial-services/deutsche-bank-delivers-ai-powered-financial-research-with-db-lumina",{"kpi":102,"value":103,"unit":104,"qualifier":105,"period":106,"claimant":98,"quote":107,"sourceUrl":100},"time-saved-per-task",120,"minutes","up-to","per research report or roadshow update","Time savings: Analysts reported significant time savings, saving 30 to 45 minutes on preparing earnings note templates and up to two hours when writing research reports and roadshow updates.",[109],{"url":100,"title":110,"publisher":111,"date":112},"Deutsche Bank delivers AI-powered financial research with DB Lumina","Google Cloud Blog","2025-09-24",{"level":37,"checkedAt":114},"2026-09-27","deutsche-bank-db-lumina-research",[117],{"slug":80,"title":118},"AI summaries of investment research and the house view",{"title":120,"useCases":121,"organization":124,"vendors":126,"summary":129,"stage":24,"year":130,"channels":131,"languages":132,"metrics":133,"outcomeDisclosed":12,"sources":142,"verification":146,"grade":39,"id":147,"useCaseTitles":148},"Deutsche Bank: automated adverse media and PEP screening for new accounts and refreshes with WorkFusion",[122,123],"pep-and-adverse-media-screening","perpetual-kyc",{"name":6,"anonymized":13,"country":7,"region":125,"industry":9},"global",[127],{"name":128,"role":54},"WorkFusion","Deutsche Bank used WorkFusion's AI automation for screening work in anti money laundering, including adverse media monitoring and PEP checks for new accounts and refresh screenings, which had required large teams to scan news reports manually. For the KYC programme as a whole, the vendor reports shorter handling times, about 25,000 cases handled per quarter and tens of thousands of hours saved each year.",2020,[27],[59],[134],{"kpi":135,"value":136,"unit":137,"qualifier":105,"period":138,"claimant":139,"quote":140,"sourceUrl":141},"handling-time-reduction",50,"percent","range of 25 to 50%, across the whole KYC programme (screening and document processing)","vendor","25–50% reduction in handling time","https://www.workfusion.com/customer-stories/deutsche-bank/",[143],{"url":141,"title":144,"publisher":128,"date":145},"Deutsche Bank Customer Story","2020-11-05",{"level":37,"checkedAt":114},"deutsche-bank-workfusion-screening-automation",[149,151],{"slug":122,"title":150},"AI for PEP and adverse media screening",{"slug":123,"title":152},"AI for perpetual KYC and event driven customer due diligence",1790598320704]