[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"node-by-slug-\u002Fen\u002Finsights\u002Fthe-timeless-playbook-for-winning-with-ai-in-banking-en":3,"related-content-view-26797-en":484},["Reactive",4],{"entity":5,"errors":-1},{"__typename":6,"status":7,"metatag":8,"id":202,"path":203,"hideNavigation":204,"title":205,"translations":206,"sharedHeaderRefMedia":214,"sharedTeaserTitle":205,"sharedTeaserText":242,"sharedTeaserRefMedia":244,"sharedParagraphs":246,"sharedTaxrefIndustries":448,"sharedTaxrefExpertises":452,"sharedIntroText":458,"sharedCtaLink":204,"sharedDate":460,"sharedAuthor":462},"NodeInsight",true,[9,14,18,21,25,30,34,38,42,46,50,54,58,62,66,69,73,76,79,81,84,87,91,95,99,103,107,111,115,119,123,127,131,135,139,142,145,148,151,154,157,160,163,166,170,174,177,181,185,189,193,196,200],{"tag":10,"attributes":11},"meta",{"name":12,"content":13},"title","The timeless playbook for winning with AI in banking",{"tag":10,"attributes":15},{"name":16,"content":17},"description","Leading banks turn AI experimentation into real transformation – by focusing on value, blending ML with GenAI, managing expectations, and strengthening data.",{"tag":10,"attributes":19},{"name":20,"content":17},"abstract",{"tag":10,"attributes":22},{"name":23,"content":24},"icbm","51.525772, -0.082716",{"tag":26,"attributes":27},"link",{"rel":28,"href":29},"shortlink","https:\u002F\u002Fcms.zuehlke.com\u002Fapi\u002Fgraphql",{"tag":26,"attributes":31},{"rel":32,"href":33},"canonical","https:\u002F\u002Fcms.zuehlke.com\u002Fen\u002Finsights\u002Fthe-timeless-playbook-for-winning-with-ai-in-banking",{"tag":10,"attributes":35},{"name":36,"content":37},"robots","index, 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Zühlke",{"tag":10,"attributes":67},{"property":68,"content":17},"og:description",{"tag":10,"attributes":70},{"property":71,"content":72},"og:image","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Fmax_1300x1300\u002Fpublic\u002Fimages\u002Fgenai_banking.jpg?itok=N1p3Tg69",{"tag":10,"attributes":74},{"property":71,"content":75},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fzuhlke_innovation_social.jpg",{"tag":10,"attributes":77},{"property":78,"content":72},"og:image:url",{"tag":10,"attributes":80},{"property":78,"content":75},{"tag":10,"attributes":82},{"property":83,"content":72},"og:image:secure_url",{"tag":10,"attributes":85},{"property":83,"content":86},"https:\u002F\u002Fwww.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fzuhlke_innovation_social.jpg",{"tag":10,"attributes":88},{"property":89,"content":90},"og:updated_time","2025-11-20",{"tag":10,"attributes":92},{"property":93,"content":94},"og:image:alt","image",{"tag":10,"attributes":96},{"property":97,"content":98},"place:location:latitude","46.947944",{"tag":10,"attributes":100},{"property":101,"content":102},"place:location:longitude","7.438014",{"tag":10,"attributes":104},{"property":105,"content":106},"og:street_address","80 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timeless playbook for winning with AI in banking  ",[207,210],{"path":203,"langcode":208},{"id":209},"en",{"path":211,"langcode":212},"\u002Fde\u002Finsights\u002Fzeitlose-erfolgsprinzipien-fuer-ki-in-der-finanzbranche",{"id":213},"de",{"id":215,"sharedMediaLegend":204,"mediaImage":216,"name":241},"172536",{"url":217,"width":218,"height":219,"alt":220,"title":204,"size":221,"mime":222,"variations":204,"headerMinimalVariations":223},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fgenai_banking.jpg",1920,1280,"close-up of clicking on computer screen",173341,"image\u002Fjpeg",[224,229,230,235,240],{"name":225,"url":226,"width":227,"height":228},"FOCAL_POINT32_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_small\u002Fpublic\u002Fimages\u002Fgenai_banking.jpg.webp?itok=hN8ndFIk",800,533,{"name":225,"url":226,"width":227,"height":228},{"name":231,"url":232,"width":233,"height":234},"FOCAL_POINT169_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_16_9_medium\u002Fpublic\u002Fimages\u002Fgenai_banking.jpg.webp?itok=0dKN11P1",1200,675,{"name":236,"url":237,"width":238,"height":239},"FOCAL_POINT169_LARGE","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_16_9_large\u002Fpublic\u002Fimages\u002Fgenai_banking.jpg.webp?itok=kp9nKFXE",1600,900,{"name":236,"url":237,"width":238,"height":239},"genai_banking.jpg",{"processed":243},"\u003Cp>Leading banks turn AI experimentation into real transformation – by focusing on value, blending ML with GenAI, managing expectations, and strengthening data.\u003C\u002Fp>",{"id":215,"sharedMediaLegend":204,"mediaImage":245,"name":241},{"url":217,"width":218,"height":219,"alt":220,"title":204,"size":221,"mime":222,"variations":204},[247,254,260,289,293,307,338,342,356,360,374,379,438],{"__typename":248,"id":249,"ctaLink":204,"pgSharedText":250,"pgSharedTitle":204,"pgSharedCtaLink":204},"ParagraphPgText","33414",{"value":251,"processed":252,"format":253},"\u003Cp>\u003Cspan lang=\"EN-GB\">To realise an AI-powered vision of the future, banks will need to embrace and enable agentic AI by tackling roadblocks such as legacy systems, inconsistent data quality, and stakeholder resistance. \u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">And they’ll have to do so in an environment that’s changing rapidly. When ChatGPT went mainstream in 2023, human–AI interaction reached a new intensity and saw the introduction of new risks like prompt injection. Today, AI is everywhere, but systems are harder than ever to control.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">The mismatch between potential and progress is reflected in \u003C\u002Fspan>\u003Ca href=\"\u002Fnode\u002F26774\" target=\"_blank\" rel=\"noreferrer noopener\" data-entity-type=\"node\" data-entity-uuid=\"6d3410bc-0d75-4145-b6e2-fcdf633f0f1d\" data-entity-substitution=\"canonical\">\u003Cspan lang=\"EN-GB\">the lack of effective AI solutions.\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan lang=\"EN-GB\"> A recent MIT study found that 95% of generative AI (GenAI) pilots fail to go into production. \u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Yet it doesn’t need to be this way.\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">At Zühlke, \u003C\u002Fspan>\u003Ca href=\"\u002Fnode\u002F26262\" target=\"_blank\" rel=\"noreferrer noopener\" data-entity-type=\"node\" data-entity-uuid=\"199e61a6-092e-4197-a9ef-da425d9c5af6\" data-entity-substitution=\"canonical\">\u003Cspan lang=\"EN-GB\">our work with leading financial institutions\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan lang=\"EN-GB\"> over the past few years has shown that the success factors have not changed with the ChatGPT moment. We see four timeless principles that continue to determine who scales — and who stalls.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan lang=\"EN-GB\">To realise an AI-powered vision of the future, banks will need to embrace and enable agentic AI by tackling roadblocks such as legacy systems, inconsistent data quality, and stakeholder resistance. \u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">And they’ll have to do so in an environment that’s changing rapidly. When ChatGPT went mainstream in 2023, human–AI interaction reached a new intensity and saw the introduction of new risks like prompt injection. Today, AI is everywhere, but systems are harder than ever to control.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">The mismatch between potential and progress is reflected in \u003C\u002Fspan>\u003Ca href=\"\u002Fen\u002Finsights\u002Fwhy-hype-driven-ai-adoption-fails-and-what-to-do-instead\" target=\"_blank\" rel=\"noreferrer noopener\" data-entity-type=\"node\" data-entity-uuid=\"6d3410bc-0d75-4145-b6e2-fcdf633f0f1d\" data-entity-substitution=\"canonical\" title=\"Why hype-driven AI adoption fails (and what to do instead)\">\u003Cspan lang=\"EN-GB\">the lack of effective AI solutions.\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan lang=\"EN-GB\"> A recent MIT study found that 95% of generative AI (GenAI) pilots fail to go into production. \u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Yet it doesn’t need to be this way.\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">At Zühlke, \u003C\u002Fspan>\u003Ca href=\"\u002Fen\u002Findustries\u002Fbanking\" target=\"_blank\" rel=\"noreferrer noopener\" data-entity-type=\"node\" data-entity-uuid=\"199e61a6-092e-4197-a9ef-da425d9c5af6\" data-entity-substitution=\"canonical\" title=\"INDUSTRY: Banking (EN)\">\u003Cspan lang=\"EN-GB\">our work with leading financial institutions\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan lang=\"EN-GB\"> over the past few years has shown that the success factors have not changed with the ChatGPT moment. We see four timeless principles that continue to determine who scales — and who stalls.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>","full_html",{"__typename":248,"id":255,"ctaLink":204,"pgSharedText":256,"pgSharedTitle":259,"pgSharedCtaLink":204},"33423",{"value":257,"processed":258,"format":253},"\u003Ch3>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Timeless Principle 1: You should work backwards from value\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan lang=\"EN-GB\">In a world where anything is possible, the question is no longer what can we build — but what should we build?\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">Generative AI and user-friendly tools like \u003C\u002Fspan>\u003Ca href=\"\u002Fnode\u002F6803\" target=\"_blank\" rel=\"noreferrer noopener\" data-entity-type=\"node\" data-entity-uuid=\"6cbbd3c0-aa66-46f3-ae6e-1bd5cf6c9d3a\" data-entity-substitution=\"canonical\">\u003Cspan lang=\"EN-GB\">low-code platforms\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan lang=\"EN-GB\"> have removed barriers to experimentation. Pilots are easy to start, but hard to scale. Without strategic alignment, they consume resources and deliver little value.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">Successful institutions guide their teams in what to build — and what not to build. This means building a portfolio of high-impact use cases directly linked to business strategy.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>","\u003Ch3>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Timeless Principle 1: You should work backwards from value\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan lang=\"EN-GB\">In a world where anything is possible, the question is no longer what can we build — but what should we build?\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">Generative AI and user-friendly tools like \u003C\u002Fspan>\u003Ca href=\"\u002Fen\u002Fexpertise\u002Fsoftware-engineering\u002Flow-code-development-services\" target=\"_blank\" rel=\"noreferrer noopener\" data-entity-type=\"node\" data-entity-uuid=\"6cbbd3c0-aa66-46f3-ae6e-1bd5cf6c9d3a\" data-entity-substitution=\"canonical\" title=\"EXPERTISE: Software engineering – Low code development services (EN)\">\u003Cspan lang=\"EN-GB\">low-code platforms\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan lang=\"EN-GB\"> have removed barriers to experimentation. Pilots are easy to start, but hard to scale. Without strategic alignment, they consume resources and deliver little value.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">Successful institutions guide their teams in what to build — and what not to build. This means building a portfolio of high-impact use cases directly linked to business strategy.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>","Four timeless principles ",{"__typename":261,"id":262,"caption":204,"imageRight":263,"pgSharedTitle":204,"pgSharedCtaLink":264,"textMedia":267,"pgSharedText":287},"ParagraphPgTextMedia","33424",false,{"title":265,"url":266,"internal":7},"Learn More","\u002Fen\u002Finsights\u002FRAG-in-finance",{"id":268,"sharedMediaLegend":204,"mediaImage":269,"name":286},"172535",{"url":270,"width":271,"height":234,"alt":272,"title":204,"size":273,"mime":222,"variations":204,"textMediaVariations":274},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fbanking_ai.jpg",1967,"futuristic technology tunnel",1340785,[275,279,280,281,285],{"name":276,"url":277,"width":239,"height":278},"FIXED_WIDTH_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_small\u002Fpublic\u002Fimages\u002Fbanking_ai.jpg.webp?itok=EMN_Dbil",309,{"name":276,"url":277,"width":239,"height":278},{"name":276,"url":277,"width":239,"height":278},{"name":282,"url":283,"width":233,"height":284},"FIXED_WIDTH_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_medium\u002Fpublic\u002Fimages\u002Fbanking_ai.jpg.webp?itok=yNgFn5av",412,{"name":282,"url":283,"width":233,"height":284},"banking_ai.jpg",{"value":288,"processed":288,"format":253},"\u003Cp>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Example:\u003C\u002Fstrong> We often see clients eager to automate workflows with retrieval-augmented generation (RAG) chatbots, only to discover that the strategic fit is missing and operationalisation budgets are hard to secure.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>",{"__typename":248,"id":290,"ctaLink":204,"pgSharedText":291,"pgSharedTitle":204,"pgSharedCtaLink":204},"33425",{"value":292,"processed":292,"format":253},"\u003Ch3>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Timeless Principle 2: Classical AI and machine learning still matter\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan lang=\"EN-GB\">\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">In financial services, the majority of enterprise AI value still comes from classical machine learning (ML) techniques — think credit scoring, fraud detection, churn prevention. \u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">That’s not to say GenAI isn’t an exciting development. It is. But it augments other data-driven technology, it doesn’t replace it. \u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">Classical ML remains highly effective for structured data and scalable decision-making. Large language models (LLMs) excel in unstructured content and human interaction — such as chatbots, knowledge assistants, or document analysis.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">The future is compositional, not competitive. The winners will design pipelines where LLMs, ML models, and business logic reinforce each other.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">\u003C\u002Fspan>\u003C\u002Fp>",{"__typename":261,"id":294,"caption":204,"imageRight":263,"pgSharedTitle":204,"pgSharedCtaLink":295,"textMedia":297,"pgSharedText":305},"33426",{"title":265,"url":296,"internal":7},"\u002Fen\u002Fexpertise\u002Fai-implementation",{"id":268,"sharedMediaLegend":204,"mediaImage":298,"name":286},{"url":270,"width":271,"height":234,"alt":272,"title":204,"size":273,"mime":222,"variations":204,"textMediaVariations":299},[300,301,302,303,304],{"name":276,"url":277,"width":239,"height":278},{"name":276,"url":277,"width":239,"height":278},{"name":276,"url":277,"width":239,"height":278},{"name":282,"url":283,"width":233,"height":284},{"name":282,"url":283,"width":233,"height":284},{"value":306,"processed":306,"format":253},"\u003Cp>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Example: \u003C\u002Fstrong>A global bank uses an LLM to extract and classify client data from KYC documents and relationship manager notes. The results feed into compliance and risk models that automate due diligence checks. This powerful combination increases accuracy, consistency, and speed of client onboarding and monitoring.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>",{"__typename":308,"id":309,"primaryImage":310,"pgCtaLink":332,"text":335,"title":336,"eyebrow":337},"ParagraphPgContentHero","33419",{"id":311,"sharedMediaLegend":204,"mediaImage":312,"name":331},"171958",{"url":313,"width":314,"height":315,"alt":316,"title":204,"size":317,"mime":222,"variations":204,"heroVariations":318},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fblog_ZenAI.jpg",1024,768,"Stylised chatbot icon glowing with digital data, representing ZenAI as an enterprise AI solution.",270941,[319,323,324,327,330],{"name":320,"url":321,"width":227,"height":322},"FOCAL_POINT21_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_2_1_small\u002Fpublic\u002Fimages\u002Fblog_ZenAI.jpg.webp?itok=OzH8CWrL",400,{"name":320,"url":321,"width":227,"height":322},{"name":325,"url":326,"width":315,"height":315},"FOCAL_POINT11_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_small\u002Fpublic\u002Fimages\u002Fblog_ZenAI.jpg.webp?itok=_1_HDxOe",{"name":328,"url":329,"width":315,"height":315},"FOCAL_POINT11_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_medium\u002Fpublic\u002Fimages\u002Fblog_ZenAI.jpg.webp?itok=floBfWj-",{"name":328,"url":329,"width":315,"height":315},"blog_ZenAI.jpg",{"title":333,"url":334,"internal":7},"DISCOVER ZENAI","\u002Fen\u002Finsights\u002Fzenai-solving-the-challenge-of-secure-scalable-enterprise-ai","Today’s most successful banks focus on augmenting human workers and driving operational efficiency. That’s why most new generative AI applications are designed for internal use — with employees as the end-users. \r\n\r\nProviding a secure, internal, UX-focused LLM chatbot is a powerful way to start your AI journey. It allows people to experiment safely, understand the benefits, and apply AI to daily work — from answering policy questions to drafting documents.","Start your AI journey with ZenAI","AI",{"__typename":248,"id":339,"ctaLink":204,"pgSharedText":340,"pgSharedTitle":204,"pgSharedCtaLink":204},"33439",{"value":341,"processed":341,"format":253},"\u003Ch3>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Timeless Principle 3: The proven data science process remains valid\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan lang=\"EN-GB\">The fundamentals of data science haven’t changed. You still start with a hypothesis, run experiments with measurable KPIs, then iterate and integrate learnings.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">What’s new is the human factor. User reactions now influence model behaviour and trust, making evaluation harder.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">The Pareto principle holds true: reaching 80% accuracy happens fast — but achieving the final 20% requires 80% of the engineering effort. For banks, this “last mile” matters. Models must integrate into regulated workflows, handle exceptions, and meet audit standards.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">Throughout the process, it’s crucial to manage expectations about the complexity of high-performing AI solutions in order to keep teams motivated and engaged.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>",{"__typename":261,"id":343,"caption":204,"imageRight":263,"pgSharedTitle":204,"pgSharedCtaLink":344,"textMedia":346,"pgSharedText":354},"33436",{"title":265,"url":345,"internal":7},"\u002Fen\u002Fcase-studies\u002Funiqa-ai-chatbot-increases-efficency",{"id":268,"sharedMediaLegend":204,"mediaImage":347,"name":286},{"url":270,"width":271,"height":234,"alt":272,"title":204,"size":273,"mime":222,"variations":204,"textMediaVariations":348},[349,350,351,352,353],{"name":276,"url":277,"width":239,"height":278},{"name":276,"url":277,"width":239,"height":278},{"name":276,"url":277,"width":239,"height":278},{"name":282,"url":283,"width":233,"height":284},{"name":282,"url":283,"width":233,"height":284},{"value":355,"processed":355,"format":253},"\u003Cp>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Example:\u003C\u002Fstrong> It took five months of engineering to build a sales and operations chatbot for Uniqua, a major insurance company. That's when 95% accuracy was achieved — the threshold for human-level performance and go-live readiness.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>",{"__typename":248,"id":357,"ctaLink":204,"pgSharedText":358,"pgSharedTitle":204,"pgSharedCtaLink":204},"33437",{"value":359,"processed":359,"format":253},"\u003Ch3>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Timeless Principle 4: There’s no production without fundamentals\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong>  \u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\u003Cp>\u003Cspan lang=\"EN-GB\">\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">The hype around AI often distracts from what still matters most: organisational readiness.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">For banks, this means data quality — not as a purely technical challenge, but one of governance, ownership, and accountability. You can’t fine-tune your way out of unclear ownership.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">Even with a strong data foundation, system integration remains complex in legacy-heavy environments. True AI enablement is as much about organisational transformation as it is about technology.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">The advent of GenAI is amplifying these challenges. AI governance must be reimagined as models become more general and outputs harder to control. \u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"EN-GB\">At the same time, the use of unstructured data sources — such as internal documents and reports — has exposed new weaknesses. In many institutions, such data is poorly governed, with multiple versions and unclear ownership.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>",{"__typename":261,"id":361,"caption":204,"imageRight":263,"pgSharedTitle":204,"pgSharedCtaLink":362,"textMedia":364,"pgSharedText":372},"33438",{"title":265,"url":363,"internal":7},"\u002Fen\u002Fcase-studies\u002Fblkb-becomes-a-data-driven-bank-with-the-right-strategy",{"id":268,"sharedMediaLegend":204,"mediaImage":365,"name":286},{"url":270,"width":271,"height":234,"alt":272,"title":204,"size":273,"mime":222,"variations":204,"textMediaVariations":366},[367,368,369,370,371],{"name":276,"url":277,"width":239,"height":278},{"name":276,"url":277,"width":239,"height":278},{"name":276,"url":277,"width":239,"height":278},{"name":282,"url":283,"width":233,"height":284},{"name":282,"url":283,"width":233,"height":284},{"value":373,"processed":373,"format":253},"\u003Cp>\u003Cspan lang=\"EN-GB\">\u003Cstrong>Example: \u003C\u002Fstrong>We partnered with BLKB to assess its data maturity, align initiatives with the bank’s corporate strategy, and identify data and AI use cases with the greatest business impact. The resulting framework ensures all initiatives are strategically aligned, enabling data and AI to be effectively used across the organisation.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003C\u002Fp>",{"__typename":248,"id":375,"ctaLink":204,"pgSharedText":376,"pgSharedTitle":378,"pgSharedCtaLink":204},"33418",{"value":377,"processed":377,"format":253},"\u003Cp>\u003Cspan lang=\"EN-GB\">Generative AI has changed what’s possible, but not what makes it successful. The bottleneck isn’t technology — it’s execution discipline and leadership focus.\u003C\u002Fspan>\u003Cspan> \u003C\u002Fspan>\u003Cspan lang=\"EN-GB\">For innovation leaders in financial services, the urgency around AI is real. 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We're here to help!",{"title":443,"url":444,"internal":7},"Contact us","\u002Fen\u002Fcontact",{"value":446,"processed":446,"format":447},"","code",[449],{"id":450,"name":451},"7","Banking",[453,455],{"id":454,"name":337},"110",{"id":456,"name":457},"1063","ZenAI",{"processed":459},"\u003Cp>AI is redefining competition in banking: institutions that can turn experimentation into scalable transformation will thrive, while the rest remain trapped in pilots and prototypes.\u003C\u002Fp>\n",{"timestamp":461},1762776000,[463],{"status":7,"contactName":464,"contactProfession":465,"contactLinkedinUrl":466,"sharedEmail":468,"sharedRefMedia":469},"Andrea Perl","Head of Data & AI APAC",{"title":446,"url":467,"internal":263},"https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Faperl\u002F","andrea.perl@zuehlke.com",{"id":470,"sharedMediaLegend":204,"mediaImage":471,"name":483},"2893",{"url":472,"width":473,"height":473,"alt":474,"title":204,"size":475,"mime":222,"variations":204,"authorVariations":476},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fandrea_perl.jpg",648,"portrait photo of Andrea Perl, Senior Business Consultant",273010,[477,479,480,481,482],{"name":325,"url":478,"width":473,"height":473},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_1_1_small\u002Fpublic\u002Fimages\u002Fandrea_perl.jpg.webp?itok=lfeJ6IbS",{"name":325,"url":478,"width":473,"height":473},{"name":325,"url":478,"width":473,"height":473},{"name":325,"url":478,"width":473,"height":473},{"name":325,"url":478,"width":473,"height":473},"andrea_perl.jpg",[485,513,550,573],{"id":486,"path":487,"sharedTeaserTitle":488,"sharedTeaserRefMedia":489,"sharedTaxrefIndustries":507,"sharedTaxrefExpertises":511},"7519","\u002Fen\u002Finsights\u002Fthe-future-of-ai-regulation","AI regulation: can regulation keep pace with tech? ",{"id":490,"sharedMediaLegend":204,"mediaImage":491,"name":506},"152737",{"url":492,"width":493,"height":494,"alt":495,"title":204,"size":496,"mime":222,"variations":204,"relatedContentVariations":497},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fcommuters-walking-in-financial-district-blurred-motion_0.jpg",640,427,"Outdoor scene with green trees and motion blur commuters",64427,[498,500,501,504,505],{"name":225,"url":499,"width":493,"height":494},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_small\u002Fpublic\u002Fimages\u002Fcommuters-walking-in-financial-district-blurred-motion_0.jpg.webp?itok=55y0PKss",{"name":225,"url":499,"width":493,"height":494},{"name":502,"url":503,"width":493,"height":494},"FOCAL_POINT32_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_medium\u002Fpublic\u002Fimages\u002Fcommuters-walking-in-financial-district-blurred-motion_0.jpg.webp?itok=ugOgrPPJ",{"name":502,"url":503,"width":493,"height":494},{"name":502,"url":503,"width":493,"height":494},"commuters-walking-in-financial-district-blurred-motion.jpg",[508],{"id":509,"name":510},"855","All industries",[512],{"id":454,"name":337},{"id":514,"path":515,"sharedTeaserTitle":516,"sharedTeaserRefMedia":517,"sharedTaxrefIndustries":532,"sharedTaxrefExpertises":539},"6582","\u002Fen\u002Finsights\u002Fmaking-products-and-manufacturing-more-sustainable","Making products and manufacturing more sustainable",{"id":518,"sharedMediaLegend":204,"mediaImage":519,"name":531},"6181",{"url":520,"width":233,"height":227,"alt":521,"title":204,"size":522,"mime":222,"variations":204,"relatedContentVariations":523},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fsustainable-pharma-medtech-products.jpg","Sustainable Healthcare Products",142451,[524,526,527,529,530],{"name":225,"url":525,"width":227,"height":228},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_small\u002Fpublic\u002Fimages\u002Fsustainable-pharma-medtech-products.jpg.webp?itok=9Fv-ln0B",{"name":225,"url":525,"width":227,"height":228},{"name":502,"url":528,"width":233,"height":227},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffocal_point_3_2_medium\u002Fpublic\u002Fimages\u002Fsustainable-pharma-medtech-products.jpg.webp?itok=drJn9HNr",{"name":502,"url":528,"width":233,"height":227},{"name":502,"url":528,"width":233,"height":227},"sustainable-pharma-medtech-products.jpg",[533,536],{"id":534,"name":535},"13","MedTech",{"id":537,"name":538},"12","Pharma",[540,541,544,547],{"id":454,"name":337},{"id":542,"name":543},"875","Data",{"id":545,"name":546},"20","Hardware engineering",{"id":548,"name":549},"608","Sustainability",{"id":551,"path":552,"sharedTeaserTitle":553,"sharedTeaserRefMedia":554,"sharedTaxrefIndustries":569,"sharedTaxrefExpertises":571},"26789","\u002Fen\u002Finsights\u002Fwill-the-next-biotech-breakthrough-be-digital-before-its-biological","Will digital come before biology in biotech’s next leap?",{"id":555,"sharedMediaLegend":204,"mediaImage":556,"name":568},"172502",{"url":557,"width":219,"height":427,"alt":558,"title":204,"size":559,"mime":395,"variations":204,"relatedContentVariations":560},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002FThumbnail_Episode_4_Bibi_Ephraim.png","A promotional graphic for the podcast “Tech Tomorrow with David Elliman.” On the left, there’s a portrait of a man wearing glasses and a maroon academic-style gown with a white shirt and matching tie. 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