{"id":8440,"date":"2026-02-04T08:20:21","date_gmt":"2026-02-04T08:20:21","guid":{"rendered":"https:\/\/armundiafactory.com\/?p=8440"},"modified":"2026-04-02T07:40:32","modified_gmt":"2026-04-02T07:40:32","slug":"bit-for-bite-11","status":"publish","type":"post","link":"https:\/\/armundiafactory.com\/en\/bit-for-bite-11\/","title":{"rendered":"Bit For Bite 11"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"8440\" class=\"elementor elementor-8440\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ddf1606 e-flex e-con-boxed e-con e-parent\" data-id=\"ddf1606\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6238d9c elementor-widget elementor-widget-heading\" data-id=\"6238d9c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Bit For Bite 11<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69517fc elementor-widget elementor-widget-heading\" data-id=\"69517fc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">AI Doesn\u2019t Fail in the Models<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c3722b8 e-flex e-con-boxed e-con e-parent\" data-id=\"c3722b8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6b98559 elementor-widget elementor-widget-text-editor\" data-id=\"6b98559\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Dear readers,<\/p><p>Over the past few months, the debate around Agentic AI has entered a more mature phase. We are no longer talking only about systems capable of generating content or supporting decision-making, but about agents able to reason, plan, and execute actions within the core processes of financial institutions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6aeba64 elementor-widget elementor-widget-text-editor\" data-id=\"6aeba64\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This topic was recently explored by <strong>Alessandro De Leonardis, CIO of Armundia Group<\/strong>, in an<span style=\"color: #d2091e;\"> <a style=\"color: #d2091e;\" href=\"https:\/\/www.fintechstrategy.com\/blog\/2025\/12\/05\/the-modular-imperative-fintech-enters-the-agentic-ai-era\/\">in-depth article<\/a><\/span> on the evolution of AI in the FinTech landscape. His analysis starts from a point that is both simple and too often overlooked: the real limitation to effective AI adoption is not the quality of the models, but the technological architecture on which they are deployed.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-375eb68 elementor-widget elementor-widget-text-editor\" data-id=\"375eb68\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The context is clear. According to the <em>McKinsey Global Banking Annual Review 2025<\/em>, the banking sector risks up to <strong>USD 170 billion in profit erosion<\/strong> over the next decade if it fails to translate AI into real operational value. At the same time, early adopters of Agentic AI may achieve significant gains in profitability. The difference, however, will not be determined by who experiments first, but by who is structurally ready to bring AI into production.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74819a2 elementor-widget elementor-widget-text-editor\" data-id=\"74819a2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>As De Leonardis points out, many institutions are attempting to apply advanced AI paradigms on <strong>monolithic systems designed for a different era<\/strong>. Rigid architectures, long release cycles, and inflexible governance models make it difficult to orchestrate specialised agents, continuously update models, and manage different levels of autonomy. The result is evident: initiatives that remain stuck in the pilot phase.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0fac72a elementor-widget elementor-widget-text-editor\" data-id=\"0fac72a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The response, according to this perspective, requires a shift in architectural thinking. <strong>Modular, service-based architectures<\/strong> make it possible to integrate AI selectively, activating it on specific processes &#8211; from compliance to credit, from reporting to customer interaction &#8211; measuring its impact and scaling only what works. Deloitte already reports <strong>cost reductions between 30% and 50%<\/strong> in targeted workflows, while <em>MIT Technology<\/em> Review highlights the growing adoption of agentic systems in production environments.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-abf6849 elementor-widget elementor-widget-text-editor\" data-id=\"abf6849\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The message is clear: being AI-ready does not mean adding a layer of intelligence on top of existing platforms. It means designing systems built to <strong>host, govern, and evolve AI over time<\/strong>.<\/p><p>In the era of Agentic AI, the question is not whether to adopt artificial intelligence.<br \/>It is whether our architecture is ready to support it.<\/p><p>Best regards,<br \/><strong>Stavri Pici<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ff50aa6 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"ff50aa6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e26725 elementor-align-left elementor-widget elementor-widget-button\" data-id=\"9e26725\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.linkedin.com\/pulse\/ai-doesnt-fail-models-fails-architecture-stavri-pici-mffmf\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-arrow-right\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M190.5 66.9l22.2-22.2c9.4-9.4 24.6-9.4 33.9 0L441 239c9.4 9.4 9.4 24.6 0 33.9L246.6 467.3c-9.4 9.4-24.6 9.4-33.9 0l-22.2-22.2c-9.5-9.5-9.3-25 .4-34.3L311.4 296H24c-13.3 0-24-10.7-24-24v-32c0-13.3 10.7-24 24-24h287.4L190.9 101.2c-9.8-9.3-10-24.8-.4-34.3z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\"> Continue on Linkedin<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Bit For Bite 11 AI Doesn\u2019t Fail in the Models Dear readers, Over the past few months, the debate around Agentic AI has entered a more mature phase. We are no longer talking only about systems capable of generating content or supporting decision-making, but about agents able to reason, plan, and execute actions within the&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"disable","_kad_post_title":"hide","_kad_post_layout":"fullwidth","_kad_post_sidebar_id":"","_kad_post_content_style":"unboxed","_kad_post_vertical_padding":"hide","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[47],"tags":[],"class_list":["post-8440","post","type-post","status-publish","format-standard","hentry","category-bit-for-bite"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.6 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Bit For Bite 11 - AI Doesn\u2019t Fail in the Models<\/title>\n<meta name=\"description\" content=\"AI Doesn\u2019t Fail in the Models. 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