{"id":551021,"date":"2026-04-20T08:03:32","date_gmt":"2026-04-20T08:03:32","guid":{"rendered":"https:\/\/www.capgemini.com\/co-es\/?p=551021&#038;preview=true&#038;preview_id=551021"},"modified":"2026-04-20T08:04:04","modified_gmt":"2026-04-20T08:04:04","slug":"from-gen-ai-experiments-to-enterprise-scale-agents-how-capgemini-is-industrializing-ai-with-databricks-agent-bricks","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/co-es\/insights\/expert-perspectives\/from-gen-ai-experiments-to-enterprise-scale-agents-how-capgemini-is-industrializing-ai-with-databricks-agent-bricks\/","title":{"rendered":"From Gen AI experiments to enterprise-scale agents: How Capgemini is industrializing AI with Databricks Agent Bricks"},"content":{"rendered":"\n<header class=\"wp-block-cg-blocks-hero-blogs header-hero-blogs\"><div class=\"container\"><div class=\"hero-blogs\"><div class=\"hero-blogs-content-wrapper\"><div class=\"row\"><div class=\"col-12\"><div class=\"header-title\"><h1>From Gen AI experiments to enterprise-scale agents: How Capgemini is industrializing AI with Databricks Agent Bricks<\/h1><\/div><\/div><\/div><\/div><div class=\"hero-blogs-bottom\"><div class=\"header-author\"><div class=\"author-img\"><img decoding=\"async\" src=\"https:\/\/www.capgemini.com\/co-es\/wp-content\/uploads\/sites\/25\/2026\/04\/Sarita-Kaloya.jpg?w=200&amp;quality=10\" alt=\"Sarita Kaloya\" loading=\"lazy\"\/><\/div><div class=\"author-name-date\"><h5 class=\"author-name\">Sarita Kaloya<\/h5><h5 class=\"blog-date\">Apr 13, 2026<\/h5><\/div><\/div><div class=\"brand-image\"><\/div><\/div><\/div><\/div><\/header>\n\n\n\n<section class=\"wp-block-cg-blocks-group section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"grid-container\"><div class=\"col-12 col-md-2\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https:\/\/www.capgemini.com\/insights\/expert-perspectives\/from-gen-ai-experiments-to-enterprise-scale-agents-how-capgemini-is-industrializing-ai-with-databricks-agent-bricks\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/shareArticle?url=https:\/\/www.capgemini.com\/insights\/expert-perspectives\/from-gen-ai-experiments-to-enterprise-scale-agents-how-capgemini-is-industrializing-ai-with-databricks-agent-bricks\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div><div class=\"article-text article-quote-text\">\n\n<h2 class=\"wp-block-heading\" id=\"h-enterprises-today-are-at-a-critical-inflection-point-in-their-ai-journeys\">Enterprises today are at a critical inflection point in their AI journeys.<\/h2>\n\n\n<p>Generative AI pilots are everywhere \u2013 but too often, they remain isolated experiments: impressive demonstrations that struggle to scale, govern, and deliver sustained business value. The challenge is no longer demonstrating AI\u2019s potential. It is <strong>operationalizing AI across the enterprise<\/strong> \u2013 securely, responsibly, and at speed.<\/p>\n\n\n<p>This is where agentic AI changes the equation.<\/p>\n\n\n<p>At Capgemini, we are helping organizations move beyond standalone Gen AI use cases to <strong>enterprise-scale, production-grade agentic systems<\/strong> by leveraging <strong>Databricks Agent Bricks<\/strong> across engineering and data estates . The result: AI agents that are not just intelligent, but <strong>production ready<\/strong> \u2013 embedded into real workflows, governed by enterprise standards, and aligned to how organizations actually operate.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-why-agentic-systems-are-the-next-frontier-of-enterprise-ai\"><strong>Why agentic systems are the next frontier of enterprise AI<\/strong><\/h3>\n\n\n<p>As AI adoption accelerates, enterprises face a familiar pattern: innovation outpaces integration. Disconnected tools, fragmented orchestration, and inconsistent governance quickly become barriers to scale. Agentic AI offers a path forward \u2013 enabling autonomous agents to reason, act, and collaborate across complex systems \u2013 but only if those agents can be <strong>designed for production from day one<\/strong>.<\/p>\n\n\n<p><strong>Databricks Agent Bricks<\/strong> provides the foundation for this shift. Rather than treating AI as a collection of scripts or prompts, it enables teams to define <strong>intent-driven, multi-step agentic workflows<\/strong> with orchestration, execution, and serving. For enterprises, this means AI that can operate continuously within governed environments, rather than sitting at the edges as experimental tooling.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-from-deployment-to-industrialization-capgemini-s-approach\"><strong>From deployment to industrialization: Capgemini\u2019s approach<\/strong><\/h3>\n\n\n<p>Capgemini does not approach Agent Bricks as a standalone technology deployment. Instead, we embed it into our proven modernization frameworks , SDLC automation accelerators, and domain-specific engineering patterns to address real business and technical challenges.<\/p>\n\n\n<p>We achieve this by combining:<\/p>\n\n\n<ul class=\"wp-block-list\">\n\n<li>Agent Bricks\u2019 <strong>native orchestration and evaluation<\/strong><\/li>\n\n\n<li><strong>Unity Catalog\u2013based governance<\/strong><\/li>\n\n\n<li>Context-aware retrieval using <strong>vector search<\/strong><\/li>\n\n<\/ul>\n\n\n<p>With Capgemini\u2019s deep engineering, data, and industry expertise, we design agentic systems that are:<\/p>\n\n\n<ul class=\"wp-block-list\">\n\n<li><strong>Secure by design<\/strong>, operating on governed enterprise data<\/li>\n\n\n<li><strong>Scalable by default<\/strong>, able to run across complex engineering estates<\/li>\n\n\n<li><strong>Aligned to operating models<\/strong>, not bolted onto them<\/li>\n\n<\/ul>\n\n\n<p>This approach allows organizations to move rapidly from experimentation to <strong>trusted, enterprise-grade AI<\/strong> \u2013 turning agentic capabilities into a durable strategic asset rather than a collection of pilots.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-transforming-engineering-and-data-work-with-agentic-workflows\"><strong>Transforming engineering and data work with agentic workflows<\/strong><\/h3>\n\n\n<p>The value of Agent Bricks becomes tangible when applied to core engineering and data modernization activities. Across Capgemini, teams are already using agentic workflows to automate and accelerate work that previously consumed weeks of manual effort.<\/p>\n\n\n<p>Examples include:<\/p>\n\n\n<ul class=\"wp-block-list\">\n\n<li><strong>SDLC automation agents<\/strong> that generate engineering and agile artifacts<\/li>\n\n\n<li><strong>Code migration and modernization agents<\/strong> that accelerate legacy transformation<\/li>\n\n\n<li><strong>Data estate modernization agents<\/strong> that refactor and modernize pipelines<\/li>\n\n<\/ul>\n\n\n<p>What once required extensive custom orchestration and DevOps overhead can now be expressed at the intent level, while Agent Bricks handles execution, coordination, and scale. Engineers spend less time on repetitive tasks and more time on architecture, design, and innovation.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-governance-without-compromise\"><strong>Governance without compromise<\/strong><\/h3>\n\n\n<p>For enterprises, trust is non-negotiable. Agentic systems must operate within strict governance, security, and compliance boundaries \u2013 especially when interacting with sensitive data and mission-critical processes.<\/p>\n\n\n<p>Agent Bricks\u2019 <strong>tight integration with Unity Catalog <\/strong>ensures that agent access to data, models, tools, and outputs remains governed, auditable, and policy-driven. Combined with Capgemini\u2019s experience in regulated industries and large-scale operating environments, this enables organizations to operationalize agentic AI <strong>without introducing unmanaged risk<\/strong>.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-turning-ai-ambition-into-measurable-value\"><strong>Turning AI ambition into measurable value<\/strong><\/h3>\n\n\n<p>The true promise of agentic AI is not autonomy for its own sake \u2013 it is <strong>a measurable business impact<\/strong>. By industrializing Agent Bricks within enterprise estates, Capgemini helps clients:<\/p>\n\n\n<ul class=\"wp-block-list\">\n\n<li>Reduce manual engineering effort<\/li>\n\n\n<li>Accelerate modernization timelines<\/li>\n\n\n<li>Operationalize AI on trusted, governed data<\/li>\n\n\n<li>Move faster than traditional transformation approaches allow<\/li>\n\n<\/ul>\n\n\n<p>In doing so, AI shifts from experimentation to execution \u2013 from isolated innovation to <strong>industrialized value creation<\/strong>.<\/p>\n\n\n<h3 class=\"wp-block-heading\" id=\"h-building-the-future-of-enterprise-engineering\"><strong>Building the future of enterprise engineering<\/strong><\/h3>\n\n\n<p>The future of engineering is autonomous, orchestrated, and intelligent. Agentic systems will become a core part of how enterprises modernize platforms, evolve operating models, and scale innovation.<\/p>\n\n\n<p>With Databricks Agent Bricks and Capgemini\u2019s engineering and data expertise, that future is already taking shape \u2013 one governed, production-ready agent at a time.<\/p>\n\n\n<p>Databricks Agent Bricks enables a production-first approach to building AI agents. Combined with Capgemini\u2019s deep engineering, data, and industry expertise, enterprises can design, deploy, and scale <strong>governed, enterprise-ready agentic AI<\/strong> aligned to real operating models. <\/p>\n\n\n<p>Talk to our experts to explore how <strong>Capgemini can help you industrialize agentic AI and turn ambition into measurable outcomes<\/strong>.<\/p>\n\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\" section section--expert-slider wrapper-people-slider wp-block-cg-blocks-wrapper-people-slider\"><div class=\"container\"><div class=\"row\"><div class=\"content-title col-12 col-md-8\"><h2 data-maxlength=\"34\" class=\"people-heading-title\">Author<\/h2><\/div><\/div><\/div><div class=\"slider slider-boxed\"><div class=\"container\"><div class=\"slider-window\"><div class=\"slider-list\">\t\t<div class=\"slide\">\n\t\t\t<div class=\"box\">\n\t\t\t\t<div class=\"row\">\n\t\t\t\t\t<div class=\"col-md-6 col-lg-4 box-img-wrapper\">\n\t\t\t\t\t\t<img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.capgemini.com\/co-es\/wp-content\/uploads\/sites\/25\/2026\/04\/Sarita-Kaloya.jpg\" alt=\"Sarita Kaloya\"\/>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"col-md-6 col-lg-8 box-inner\">\n\t\t\t\t\t\t<div class=\"row title-social-media-header\">\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 mbl-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"abrir en una nueva ventana\" href=\"https:\/\/www.linkedin.com\/in\/sarita-kaloya-deherkar-659521ba\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 box-container\">\n\t\t\t\t\t\t\t\t<div class=\"box-title\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"people-profile-title\">Sarita Kaloya<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span>Senior Director \u2013 Databricks Practice &amp; Data and AI Capability Lead (India)<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"col-md-12 col-lg-6 social-box-container dkt-social-icon\">\n\t\t\t\t\t\t\t\t<ul class=\"social-nav\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<li><a aria-label=\"Linkedin\" target=\"_blank\" title=\"abrir en una nueva ventana\" href=\"https:\/\/www.linkedin.com\/in\/sarita-kaloya-deherkar-659521ba\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><\/a><\/li>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"people-info\">Sarita Kaloya is a Senior Director and Databricks Practice Lead for India, leading Data and AI capabilities and AI-driven initiatives. She specializes in Databricks lakehouse architectures, advanced analytics, and enterprise-scale data transformations, helping organizations unlock value through modern data and AI platforms.<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div><\/div><\/div><div class=\"slider-nav\"><button class=\"slider-prev inactive\" aria-label=\"Slider-previous\" tabindex=\"-1\"><\/button><ul class=\"slider-paginator\"><\/ul><button class=\"slider-next\" aria-label=\"Slider-next\"><\/button><\/div><\/div><\/section>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Generative AI pilots are everywhere \u2013 but too often, they remain isolated experiments: impressive demonstrations that struggle to scale, govern, and deliver sustained business value. The challenge is no longer demonstrating AI\u2019s potential. It is operationalizing AI across the enterprise \u2013 securely, responsibly, and at speed.<\/p>\n","protected":false},"author":12508,"featured_media":551022,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"cg_dt_proposed_to":[],"cg_seo_hreflang_relations":"[]","cg_seo_canonical_relation":"","cg_seo_hreflang_x_default_relation":"","cg_dt_approved_content":true,"cg_dt_mandatory_content":false,"cg_dt_notes":"","cg_dg_source_changed":false,"cg_dt_link_disabled":false,"_yoast_wpseo_primary_brand":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","featured_focal_points":""},"categories":[1],"tags":[],"brand":[],"service":[],"industry":[],"partners":[],"blog-topic":[49],"content-group":[],"class_list":["post-551021","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","blog-topic-data-and-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.8 (Yoast SEO v22.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>From Gen AI experiments to enterprise-scale agents: How Capgemini is industrializing AI with Databricks Agent Bricks - Capgemini Colombia<\/title>\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.capgemini.com\/co-es\/insights\/expert-perspectives\/from-gen-ai-experiments-to-enterprise-scale-agents-how-capgemini-is-industrializing-ai-with-databricks-agent-bricks\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From Gen AI experiments to enterprise-scale agents: How Capgemini is industrializing AI with Databricks Agent Bricks\" \/>\n<meta property=\"og:description\" content=\"Generative AI pilots are everywhere \u2013 but too often, they remain isolated experiments: impressive demonstrations that struggle to scale, govern, and deliver sustained business value. 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The challenge is no longer demonstrating AI\u2019s potential. 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