[{"data":1,"prerenderedAt":479},["ShallowReactive",2],{"/en-us/the-source/ai/why-a-platform-approach-is-a-must-for-government-ai":3,"footer-en-us":32,"the-source-banner-en-us":366,"the-source-navigation-en-us":372,"article-site-categories-en-us":395,"the-source-newsletter-en-us":397,"why-a-platform-approach-is-a-must-for-government-ai-article-hero-category-en-us":404,"why-a-platform-approach-is-a-must-for-government-ai-the-source-source-cta-en-us":430,"why-a-platform-approach-is-a-must-for-government-ai-category-en-us":437,"why-a-platform-approach-is-a-must-for-government-ai-the-source-resources-en-us":450},{"id":4,"title":5,"body":6,"category":7,"config":8,"content":13,"description":6,"extension":23,"meta":24,"navigation":25,"path":26,"seo":27,"slug":12,"stem":29,"type":30,"__hash__":31},"theSource/en-us/the-source/ai/why-a-platform-approach-is-a-must-for-government-ai.yml","Why A Platform Approach Is A Must For Government Ai",null,"ai",{"layout":9,"template":10,"featured":11,"gatedAsset":12},"the-source","TheSourceArticle",false,"why-a-platform-approach-is-a-must-for-government-ai",{"title":14,"description":15,"date":16,"heroImage":17,"keyTakeaways":18,"articleBody":22},"Why a platform approach is a must for government AI","Learn why many AI tools fall short and how government agencies can use an AI-native platform-approach to increase revenue, productivity, and time saved.","2025-10-29","https://res.cloudinary.com/about-gitlab-com/image/upload/v1763139839/lnvei35adzlitqg4ksb9.png",[19,20,21],"AI point solutions intended to improve efficiency often consume more resources than they generate in productivity gains.","The solution isn't to abandon AI coding tools, but to recognize that true productivity gains require integrating AI throughout the SDLC, not just at the code generation stage.","AI platform investments quickly provide measurable mission outcomes with organizations reporting 44% revenue increases, 48% productivity gains, 943 hours on average saved per developer over 12 months.","Government agencies face growing pressure to deliver better services with constrained budgets and reduced staff. 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When the AI tool isn’t fully integrated into the software lifecycle, it creates tool sprawl, security issues, and context switching. Plus, without full context into the development environment, the AI tool isn’t able to provide as accurate or valuable suggestions.\n\n## The platform advantage\nGitLab Duo Agent Platform takes a different approach. Rather than adding isolated tools to fragmented toolchains, it integrates AI capabilities across the entire software development lifecycle. Built on three core layers — a system of record, software control plane, and a unified user experience — GitLab addresses the limitations of point-solution AI tools by providing complete context, coordinated workflows, and unified governance.\n\nOne of the capabilities that differentiates GitLab from other AI tools is its extended Knowledge Graph, which stitches together code with organizational context. 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