[{"data":1,"prerenderedAt":409},["ShallowReactive",2],{"service:devops-consulting-services:new":3,"services:devops-consulting-services:technical-blog-posts":319,"services:devops-consulting-services:client-logos":320,"services:devops-consulting-services:contact-page":402,"services:devops-consulting-services:projects":405,"services:devops-consulting-services:technologies":406,"services:devops-consulting-services:blog-posts":407,"services:devops-consulting-services:blog-posts-latest":293,"services:devops-consulting-services:testimonials":408},{"id":4,"title":5,"body":6,"clientLogos":60,"description":39,"extension":70,"h1":71,"h2":72,"largeCoverImage":73,"meta":74,"navigation":75,"pageSections":76,"path":278,"seo":279,"stem":283,"testimonial":284,"__hash__":292,"insights":293},"newServices\u002Fnew-services\u002Fdevops-consulting-services.md","DevOps consulting services",{"type":7,"value":8,"toc":55},"minimark",[9,14,24,27,30,42,46,49,52],[10,11,13],"h2",{"id":12},"embedding-automation-through-devops-to-enable-continuous-integration-delivery-and-deployment","Embedding automation through DevOps to enable continuous integration, delivery and deployment.",[15,16,17,18,23],"p",{},"From implementing CI\u002FCD pipelines across the delivery lifecycle of a ",[19,20,22],"a",{"href":21},"\u002Fprojects\u002Fadm-agriculture","platform"," to manage £3 billion annual contracts, to implementing infrastructure as code to create new environments for a system to manage hundreds of thousands of users.",[15,25,26],{},"We provide end-to-end DevOps services to help organisations transform how software is delivered and released. 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",{"path":301,"title":302,"author":303,"date":304,"image":305,"customExcerpt":306,"excerpt":84},"\u002Fblog\u002Fdata-foundations-for-scalable-ai","Enterprise Data Foundations: The Determinant of AI at Scale ","Ryan Crompton","2026-04-29T13:44:21.144Z","\u002Fimg\u002Fblog\u002Fdata-foundations-for-ai.png","Most enterprise AI projects stall not because the model fails, but because the data underneath is incomplete or inaccessible. This article sets out the five dimensions of AI data readiness, examines how data debt compounds across initiatives, and explores the architectural patterns that allow organisations to scale AI.",{"path":308,"title":309,"author":84,"date":310,"image":311,"customExcerpt":312,"excerpt":84},"\u002Fblog\u002Fwhat-ai-assisted-engineering-means-for-software-testing","What AI-Assisted Engineering Means for Software Testing ","2026-04-29T13:38:42.140Z","\u002Fimg\u002Fblog\u002Fai-engineering-impact-on-testing.png","AI coding tools are now embedded in most development workflows, but AI-generated code introduces more security vulnerabilities, duplication and critical defects than human-written code. This article examines the risks and the testing and governance practices engineering leaders need to capture the productivity benefits without accumulating quality debt.",{"path":314,"title":315,"author":39,"date":316,"image":317,"customExcerpt":318,"excerpt":84},"\u002Fblog\u002Faudacia-shortlisted-in-british-data-awards-2026","Audacia shortlisted in British Data Awards 2026","2026-03-27T14:51:16.422Z","\u002Fimg\u002Fblog\u002Fbritishdataawards2026-shortlisted.png","Audacia is shortlisted for AI Company of the Year at the 2026 British Data Awards. 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