{"id":63121,"date":"2025-11-19T10:10:28","date_gmt":"2025-11-19T10:10:28","guid":{"rendered":"https:\/\/www.elixirr.com\/en-gb\/?p=63121"},"modified":"2025-11-19T16:26:24","modified_gmt":"2025-11-19T16:26:24","slug":"ai-in-banking-product-development-where-tools-actually-matter-2","status":"publish","type":"post","link":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/","title":{"rendered":"AI in banking product development: Where tools actually matter"},"content":{"rendered":"<section\n    class=\"wp-block-text-block edwp-block layout--spacing-y bg--none\"\n    >\n    <div class=\"wp-block-text-block__container container fade-in\">\n        <div class=\"wp-block-text-block__content wysiwyg\">\n            <p><span data-contrast=\"auto\">Banks have invested millions in AI tools, and the impact is already clear. Code generation time has collapsed. At Goldman Sachs, <\/span><a href=\"https:\/\/www.goldmansachs.com\/investor-relations\/financials\/current\/annual-reports\/2024-annual-report\/multimedia\/2024-annual-report.pdf\"><span data-contrast=\"none\">GitHub Copilot is now running on 12,000 developer desktops.<\/span><\/a><span data-contrast=\"auto\"> Citizens Bank is reporting 20% productivity gains. However, features often still take 30 days from idea to release. The bottleneck hasn&#8217;t moved; it&#8217;s just shifted.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI tooling doesn&#8217;t fix delivery unless it does one of three things: reduces friction, improves quality, or gives time back. Most banks have added speed to tasks but not to outcomes, which is where the gap remains. <\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b><span data-contrast=\"auto\">The coordination tax<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">In software and product development lifecycles, the biggest drain on time isn\u2019t the work itself \u2013 it&#8217;s the coordination around it. Developers spend hours clarifying vague requirements between product and engineering. Often, teams are stalled waiting for approvals from risk, compliance or architecture review boards. Manual handoffs then cascade between teams: epic to story, story to code and code to test, slowing momentum. Context switching only increases the hold-up and entire afternoons dwindle when suddenly someone must justify an undocumented decision made three sprints ago.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">That\u2019s where AI steps in, by clearing the bottlenecks.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">From conversations with banking teams we learned that developers can spend up to four hours per sprint writing handover documentation. By embedding AI summarisation into Jira, that can be reduced to 20 minutes. This gives 180 hours back to engineering each month. In this case AI isn&#8217;t making documentation better, it\u2019s making it unnecessary as a separate task.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">That\u2019s just one example. Across the lifecycle, AI is quietly removing friction:\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><a href=\"https:\/\/techsur.solutions\/the-future-of-software-delivery-with-ai-part-3-how-intelligent-automation-is-redefining-backlog-management\/\"><span data-contrast=\"none\">Epic clarifications generated before sprint planning reduced ambiguity by 40% in pilot teams.<\/span><\/a> <span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Automated compliance checks embedded in the pipeline catch issues at commit time, not three weeks later during review.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Semantic search across past decisions means teams stop re-litigating problems they&#8217;ve already solved.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">JP Morgan was the first major bank to roll out an LLM-based assistant, <\/span><a href=\"https:\/\/www.americanbanker.com\/news\/how-jpmorganchase-democratized-employee-access-to-gen-ai\"><span data-contrast=\"none\">reporting a gain of 2-4 hours per week.<\/span><\/a><span data-contrast=\"auto\"> Not from writing code faster, but from finding answers without chasing people down.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The pattern is clear: AI removes waiting, not work.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b><span data-contrast=\"auto\">The rework problem<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Quality problems create rework loops. A defect caught in production costs 10x more than one caught in development. AI helps to tighten those feedback cycles.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Code reviews now flag logic errors, security gaps and anti-patterns before human review.\u00a0Automated testing now generates test cases directly from acceptance criteria, removing the need for quality assurance to write them manually and\u00a0edge case simulation catches scenarios humans miss. Real-time detection spots requirements drift between story and implementation.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The value isn&#8217;t \u2018better code.\u2019 It&#8217;s fewer defect cycles and less rework, which can save weeks.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.elixirr.com\/en-us\/case-studies\/large-scale-us-regional-bank-transforming-the-enhanced-due-diligence-process-with-ai\/\"><span data-contrast=\"none\">One bank cut enhanced due diligence report time by 88% with 94% model accuracy<\/span><\/a><span data-contrast=\"auto\">. The AI didn&#8217;t replace compliance teams, it eliminated the manual validation loops that consumed their time. Compliance officers stopped checking data and started making judgement calls that require expertise.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Goldman Sachs reports that their fine-tuned AI assistant, trained on their entire codebase, catches context-specific issues that generic tools miss. It knows which patterns violate internal standards before code review even begins.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Banks are using AI testing platforms to help teams accelerate regression testing and streamline backlog management, using intelligent triage to refine user stories and priorities. The difference between working AI and theatre is measurable: error rates down, rework cycles eliminated, defects caught earlier.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b><span data-contrast=\"auto\">Attention economics<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">AI doesn&#8217;t just make work faster. It gives attention back to the most important parts of work.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Product managers stop writing boilerplate user stories and spend time on customer research. Engineers stop documenting decisions and spend time solving hard problems. Risk teams stop chasing clarifications and spend time on judgement calls that require expertise.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This is attention reallocation, not headcount reduction. The goal isn&#8217;t to do the same work with fewer people. It&#8217;s to let people focus on higher-value work.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In conversations with product and engineering teams, we\u2019ve learned that developers save 12 hours per sprint on documentation, testing and review cycles. That time normally goes to refactoring legacy code and reducing technical debt, work that is often deferred for months. With newfound capacity, engineers can significantly reduce technical debt in the months ahead.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.citigroup.com\/rcs\/citigpa\/storage\/public\/Earnings\/Q42024\/4Q24-earnings-presentation.pdf\"><span data-contrast=\"none\">Citigroup equipped 30,000 developers with generative AI coding assistants<\/span><\/a><span data-contrast=\"auto\">. The goal wasn&#8217;t faster feature delivery. It was freeing capacity for legacy system modernisation. Converting COBOL (common business-oriented language) to Java, speeding up cloud migration, work that creates long-term flexibility but never makes the sprint because urgent tasks always crowd it out.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For example, when <\/span><a href=\"https:\/\/newsroom.ibm.com\/2023-08-22-IBM-Unveils-watsonx-Generative-AI-Capabilities-to-Accelerate-Mainframe-Application-Modernization\"><span data-contrast=\"none\">IBM&#8217;s Watsonx translates 1960s-era COBOL mainframe code to modern languages,<\/span><\/a><span data-contrast=\"auto\"> it doesn&#8217;t replace engineers. It removes the grunt work so engineers can focus on architecture decisions and business logic that still require human judgement.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Capital One reports that their <\/span><a href=\"https:\/\/www.capitalone.com\/tech\/ai\/\"><span data-contrast=\"none\">ChatGPT-style assistant for 20,000 customer service reps measurably improved call handling times<\/span><\/a><span data-contrast=\"auto\">. Not because AI answered calls. Because it gave reps instant access to policy information, freeing them to focus on the customer&#8217;s actual problem instead of hunting through documentation.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The pattern repeats: AI removes the low-value work that blocks high-value work.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b><span data-contrast=\"auto\">Why most pilots die in the demo phase<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Most AI pilots fail not because the tools are weak but because the organisation isn&#8217;t ready.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Three failure modes have shown up consistently:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Tools deployed without process redesign.<\/span><\/b><span data-contrast=\"auto\"> AI sits alongside legacy workflows, not inside them. Developers have copilot but still spend two days waiting for architecture review board approval. The code gets written faster but ships at the same speed.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">No change support.<\/span><\/b><span data-contrast=\"auto\"> Teams get told to \u2018use the copilot\u2019 without training, champions or feedback loops. An <\/span><a href=\"https:\/\/creatingfutureus.org\/mit-report-95-of-generative-ai-pilots-at-companies-are-failing\/\"><span data-contrast=\"none\">MIT 2025 report showed 95% of GenAI pilots failed to yield business impact, only 5% reached production at scale.<\/span><\/a><span data-contrast=\"auto\"> The core issue wasn&#8217;t the AI tech. It was that pilots operated as isolated science projects disconnected from real workflows.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Metrics focus on task speed, not outcome velocity.<\/span><\/b><span data-contrast=\"auto\"> Banks celebrate faster code generation while delivery timelines stay flat. We\u2019ve seen banks automate loan approvals with AI but compliance violations spike because regulatory requirements haven\u2019t been built in from the start. The tool worked. The system didn&#8217;t. AI can&#8217;t outrun organisational drag. If your approval process takes 10 days, faster coding saves you nothing.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><a href=\"https:\/\/nanonets.com\/blog\/goldman-sachs-ai-platform\/\"><span data-contrast=\"none\">Goldman Sachs succeeded because they fine-tuned AI on their entire codebase and embedded it in the IDEs and CI pipelines employees already use<\/span><\/a><span data-contrast=\"auto\">. They didn&#8217;t treat it as a side project. They invested in training engineers and measuring time saved. Enterprise-wide integration, not innovation theatre.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/tearsheet.co\/artificial-intelligence\/jpmorgan-chases-gen-ai-implementation-450-use-cases-and-lessons-learned\/\"><span data-contrast=\"none\">JP Morgan has 450+ AI use cases in production<\/span><\/a><span data-contrast=\"auto\"> because they baked AI into the C-suite agenda and built a governance framework. Models go from ideation to production with proper controls. Top-down support plus operational discipline.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The banks stuck in pilot purgatory have fragmented tooling, no ROI tracking and culture gaps. One-off bots built in silos can&#8217;t plug into enterprise workflows. Without KPIs tied to business value, reduction in dev cycle time, defect rate, projects lose executive support and fizzle out. Most failures are operational, not technological.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b><span data-contrast=\"auto\">What actually matters<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Most banks are asking: which AI tools should we buy?<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The sharper question is: where do we lose time, create rework and block progress today?<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI only delivers when it removes those specific losses. If you can&#8217;t name the exact friction points in your software and product development lifecycles, the handoffs that take days, the reviews that loop endlessly, the clarifications that eat afternoons \u2013 you&#8217;re not ready to deploy AI effectively. You&#8217;re ready to waste money on tools that sit unused.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">But if you can name those friction points precisely, the path forward becomes clear: embed AI where work actually slows down, where quality suffers and where people waste attention on tasks that don&#8217;t need human judgement.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Do that, and delivery timelines will compress. Ignore it, and you&#8217;ll have expensive tools inside the same slow system, just with better demos. The banks that win won&#8217;t be the ones with the most sophisticated AI. They&#8217;ll be the ones who know exactly where their time goes, and use AI ruthlessly to get it back.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n        <\/div>\n            <\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":6,"featured_media":63127,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[116],"tags":[115,95],"related_service":[45],"related_industry":[42,78],"class_list":["post-63121","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai","tag-banking"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.1 (Yoast SEO v27.1.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI in banking product development: Where tools actually matter - Elixirr<\/title>\n<meta name=\"description\" content=\"Most banks have added speed to tasks but not to outcomes, which is where the gap remains.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI in banking product development: Where tools actually matter\" \/>\n<meta property=\"og:description\" content=\"Most banks have added speed to tasks but not to outcomes, which is where the gap remains.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Elixirr\" \/>\n<meta property=\"article:published_time\" content=\"2025-11-19T10:10:28+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-19T16:26:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-1024x614.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"614\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"petra\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"petra\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/\"},\"author\":{\"name\":\"petra\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/person\/e0fb39801ad6673e6b8b874ebcfc36f4\"},\"headline\":\"AI in banking product development: Where tools actually matter\",\"datePublished\":\"2025-11-19T10:10:28+00:00\",\"dateModified\":\"2025-11-19T16:26:24+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/\"},\"wordCount\":9,\"publisher\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg\",\"keywords\":[\"AI\",\"Banking\"],\"articleSection\":[\"Articles\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/\",\"url\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/\",\"name\":\"AI in banking product development: Where tools actually matter - Elixirr\",\"isPartOf\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg\",\"datePublished\":\"2025-11-19T10:10:28+00:00\",\"dateModified\":\"2025-11-19T16:26:24+00:00\",\"description\":\"Most banks have added speed to tasks but not to outcomes, which is where the gap remains.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#primaryimage\",\"url\":\"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg\",\"contentUrl\":\"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg\",\"width\":2400,\"height\":1440},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.elixirr.com\/en-gb\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AI in banking product development: Where tools actually matter\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#website\",\"url\":\"https:\/\/www.elixirr.com\/en-gb\/\",\"name\":\"Elixirr\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.elixirr.com\/en-gb\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#organization\",\"name\":\"Elixirr\",\"alternateName\":\"Elixirr International PLC\",\"url\":\"https:\/\/www.elixirr.com\/en-gb\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/elixirr-logo.png\",\"contentUrl\":\"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/elixirr-logo.png\",\"width\":200,\"height\":200,\"caption\":\"Elixirr\"},\"image\":{\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/person\/e0fb39801ad6673e6b8b874ebcfc36f4\",\"name\":\"petra\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/dc3a8d51c8ea5862ffe640e23054f389122063065d48b608b12249b5ea33eca8?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/dc3a8d51c8ea5862ffe640e23054f389122063065d48b608b12249b5ea33eca8?s=96&d=mm&r=g\",\"caption\":\"petra\"},\"url\":\"https:\/\/www.elixirr.com\/en-gb\/person\/petra\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"AI in banking product development: Where tools actually matter - Elixirr","description":"Most banks have added speed to tasks but not to outcomes, which is where the gap remains.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/","og_locale":"en_US","og_type":"article","og_title":"AI in banking product development: Where tools actually matter","og_description":"Most banks have added speed to tasks but not to outcomes, which is where the gap remains.","og_url":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/","og_site_name":"Elixirr","article_published_time":"2025-11-19T10:10:28+00:00","article_modified_time":"2025-11-19T16:26:24+00:00","og_image":[{"width":1024,"height":614,"url":"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-1024x614.jpg","type":"image\/jpeg"}],"author":"petra","twitter_card":"summary_large_image","twitter_misc":{"Written by":"petra","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#article","isPartOf":{"@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/"},"author":{"name":"petra","@id":"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/person\/e0fb39801ad6673e6b8b874ebcfc36f4"},"headline":"AI in banking product development: Where tools actually matter","datePublished":"2025-11-19T10:10:28+00:00","dateModified":"2025-11-19T16:26:24+00:00","mainEntityOfPage":{"@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/"},"wordCount":9,"publisher":{"@id":"https:\/\/www.elixirr.com\/en-gb\/#organization"},"image":{"@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#primaryimage"},"thumbnailUrl":"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg","keywords":["AI","Banking"],"articleSection":["Articles"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/","url":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/","name":"AI in banking product development: Where tools actually matter - Elixirr","isPartOf":{"@id":"https:\/\/www.elixirr.com\/en-gb\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#primaryimage"},"image":{"@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#primaryimage"},"thumbnailUrl":"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg","datePublished":"2025-11-19T10:10:28+00:00","dateModified":"2025-11-19T16:26:24+00:00","description":"Most banks have added speed to tasks but not to outcomes, which is where the gap remains.","breadcrumb":{"@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#primaryimage","url":"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg","contentUrl":"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg","width":2400,"height":1440},{"@type":"BreadcrumbList","@id":"https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.elixirr.com\/en-gb\/"},{"@type":"ListItem","position":2,"name":"AI in banking product development: Where tools actually matter"}]},{"@type":"WebSite","@id":"https:\/\/www.elixirr.com\/en-gb\/#website","url":"https:\/\/www.elixirr.com\/en-gb\/","name":"Elixirr","description":"","publisher":{"@id":"https:\/\/www.elixirr.com\/en-gb\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.elixirr.com\/en-gb\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.elixirr.com\/en-gb\/#organization","name":"Elixirr","alternateName":"Elixirr International PLC","url":"https:\/\/www.elixirr.com\/en-gb\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/logo\/image\/","url":"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/elixirr-logo.png","contentUrl":"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/elixirr-logo.png","width":200,"height":200,"caption":"Elixirr"},"image":{"@id":"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/person\/e0fb39801ad6673e6b8b874ebcfc36f4","name":"petra","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.elixirr.com\/en-gb\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/dc3a8d51c8ea5862ffe640e23054f389122063065d48b608b12249b5ea33eca8?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/dc3a8d51c8ea5862ffe640e23054f389122063065d48b608b12249b5ea33eca8?s=96&d=mm&r=g","caption":"petra"},"url":"https:\/\/www.elixirr.com\/en-gb\/person\/petra\/"}]}},"card":"<article class=\"wp-component-card edwp-component wp-component-card--resource            wp-component-card--link js-card-link\n        edwp-fade-in\">\n            <figure class=\"wp-component-card__image-wrapper\">\n                            <img width=\"2400\" height=\"1440\" src=\"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg\" class=\"wp-component-card__image\" alt=\"\" decoding=\"async\" srcset=\"https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1.jpg 2400w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-300x180.jpg 300w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-1024x614.jpg 1024w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-768x461.jpg 768w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-1536x922.jpg 1536w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-2048x1229.jpg 2048w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-87x52.jpg 87w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-319x191.jpg 319w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-479x287.jpg 479w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-567x340.jpg 567w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-767x460.jpg 767w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-1023x614.jpg 1023w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-1278x767.jpg 1278w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-1378x827.jpg 1378w, https:\/\/www.elixirr.com\/en-gb\/wp-content\/uploads\/2025\/11\/AI-in-banking-2400x1440-1-1640x984.jpg 1640w\" sizes=\"(max-width: 2400px) 100vw, 2400px\" \/>            <div class=\"wp-component-card__preview-icon\">\n                <span class='edwp-svg '><svg width=\"47\" height=\"47\" viewBox=\"0 0 47 47\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<g>\n<path d=\"M23.4141 0.539062C36.1232 0.539183 46.4258 10.8416 46.4258 23.5508C46.4257 36.2599 36.1231 46.5624 23.4141 46.5625C10.7049 46.5625 0.402465 36.2599 0.402344 23.5508C0.402344 10.8415 10.7048 0.539062 23.4141 0.539062ZM23.4141 1.68945C11.3606 1.68945 1.55273 11.4974 1.55273 23.5508C1.55286 35.6041 11.3607 45.4111 23.4141 45.4111C35.4673 45.411 45.2743 35.604 45.2744 23.5508C45.2744 11.4974 35.4674 1.68957 23.4141 1.68945Z\" fill=\"currentColor\"\/>\n<path d=\"M19.2841 33.6992C18.9579 33.6986 18.6374 33.6111 18.3543 33.4454C17.7167 33.0759 17.3203 32.3585 17.3203 31.5797V15.8189C17.3203 15.0379 17.7167 14.3227 18.3543 13.9531C18.6442 13.7827 18.9735 13.6951 19.3078 13.6994C19.6421 13.7037 19.9692 13.7998 20.2548 13.9776L33.4237 22.0406C33.6981 22.2166 33.9244 22.461 34.0812 22.751C34.238 23.0409 34.3203 23.3668 34.3203 23.6982C34.3203 24.0295 34.238 24.3555 34.0812 24.6454C33.9244 24.9353 33.6981 25.1798 33.4237 25.3558L20.2527 33.421C19.9604 33.6017 19.6256 33.6979 19.2841 33.6992Z\" fill=\"currentColor\"\/>\n<\/g>\n<\/svg>\n<\/span>            <\/div>\n                        <\/figure>\n        <div class=\"wp-component-card__content edwp-row-load\">\n                                    <p class=\"wp-component-card__eyebrow\">\n                Articles            <\/p>\n                <a href='https:\/\/www.elixirr.com\/en-gb\/ai-in-banking-product-development-where-tools-actually-matter-2\/' class='wp-component-card__title'>\n            <h2>\n                AI in banking product development: Where tools actually matter\n            <\/h2>\n        <\/a>                                                            <div class=\"wp-component-card__meta\">\n                                            <p class=\"wp-component-card__date\">\n                            19 November 2025                        <\/p>\n                                                                <div class=\"wp-component-card__terms\">\n                                                                                                                                                                                                                <div class=\"wp-component-tags edwp-component\">\n                        <div class=\"wp-component-tags__tag\">\n                Financial Services            <\/div>\n                                <div class=\"wp-component-tags__tag\">\n                Retail &amp; Corporate Banking            <\/div>\n                                <div class=\"wp-component-tags__tag\">\n                AI &amp; Machine Learning            <\/div>\n                <\/div>\n                        <\/div>\n                                    <\/div>\n                                                    <div class=\"wp-component-card__button-wrapper\">\n                    <button class=\"btn btn--link arrow wp-component-card__button\">\n                                                                            Read more                                                                            <span class='edwp-svg '><svg width=\"20\" height=\"20\" viewBox=\"0 0 20 20\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<g id=\"Lg\">\n<path id=\"Vector\" d=\"M1.12509 9.50162H15.8648L9.43259 3.06941C9.374 3.0113 9.3275 2.94216 9.29576 2.86599C9.26403 2.78981 9.24769 2.70811 9.24769 2.62559C9.24769 2.54307 9.26403 2.46137 9.29576 2.38519C9.3275 2.30902 9.374 2.23988 9.43259 2.18177C9.54971 2.06535 9.70814 2 9.87328 2C10.0384 2 10.1969 2.06535 10.314 2.18177L17.8151 9.6829C17.8737 9.74101 17.9202 9.81014 17.9519 9.88632C17.9837 9.96249 18 10.0442 18 10.1267C18 10.2092 17.9837 10.2909 17.9519 10.3671C17.9202 10.4433 17.8737 10.5124 17.8151 10.5705L10.314 18.0717C10.1975 18.1871 10.0404 18.2522 9.87641 18.2529C9.79414 18.2534 9.71259 18.2376 9.63643 18.2065C9.56027 18.1754 9.491 18.1296 9.43259 18.0717C9.374 18.0135 9.3275 17.9444 9.29576 17.8682C9.26403 17.7921 9.24769 17.7104 9.24769 17.6278C9.24769 17.5453 9.26403 17.4636 9.29576 17.3874C9.3275 17.3113 9.374 17.2421 9.43259 17.184L15.8711 10.7518H1.12509C0.959309 10.7518 0.800312 10.686 0.683084 10.5687C0.565857 10.4515 0.5 10.2925 0.5 10.1267C0.5 9.96093 0.565857 9.80193 0.683084 9.68471C0.800312 9.56748 0.959309 9.50162 1.12509 9.50162Z\" fill=\"#1D0F25\"\/>\n<\/g>\n<\/svg>\n<\/span>                                            <\/button>\n                <\/div>\n                                            <\/div>\n<\/article>\n","_links":{"self":[{"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/posts\/63121","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/comments?post=63121"}],"version-history":[{"count":3,"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/posts\/63121\/revisions"}],"predecessor-version":[{"id":63146,"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/posts\/63121\/revisions\/63146"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/media\/63127"}],"wp:attachment":[{"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/media?parent=63121"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/categories?post=63121"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/tags?post=63121"},{"taxonomy":"related_service","embeddable":true,"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/related_service?post=63121"},{"taxonomy":"related_industry","embeddable":true,"href":"https:\/\/www.elixirr.com\/en-gb\/wp-json\/wp\/v2\/related_industry?post=63121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}