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We Migrated a Leading French E-Commerce Platform from Atlassian Data Center to Cloud Enterprise in 6 Months",{"rendered":513,"protected":514},"\u003Ch2 class=\"wp-block-heading\" id=\"Key-Challenges-&-Context:-Clustered-Data-Center,-3000-Users,-and-Deep-Customization-Debt\">Key Challenges & Context: Clustered Data Center, 3000 Users, and Deep Customization Debt\u003C\u002Fh2>\n\n\n\u003Cp>Our client is one of France’s largest online retailers, operating a high-traffic e-commerce platform that serves millions of customers. Their technology organization relies on Atlassian tools as the backbone of engineering workflows, service management, and cross-team collaboration.\u003C\u002Fp>\n\n\n\n\u003Cp>The environment was substantial:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Jira Software and Jira Service Management\u003C\u002Fstrong> on clustered Data Center, supporting 3000 active users across engineering, product, operations, and support teams\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Confluence Data Center\u003C\u002Fstrong> serving as the central knowledge base for technical documentation, runbooks, and project coordination\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>100,000+ assets\u003C\u002Fstrong> managed in Jira Service Management (formerly Insight\u002FAssets)\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>200 ScriptRunner scripts\u003C\u002Fstrong> embedded in workflows, automations, post-functions, and scheduled jobs\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Dozens of Marketplace apps\u003C\u002Fstrong> integrated into daily operations\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>The client had already identified the need to move to Cloud. Atlassian’s \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fatlassian-data-center-fin-de-vie-2029\" target=\"_blank\" rel=\"noreferrer noopener\">end of support for Data Center in March 2029\u003C\u002Fa> set the strategic direction, but the real driver was operational: they wanted to eliminate the infrastructure overhead of managing clustered instances, reduce upgrade cycles, and unlock Cloud-native capabilities (Atlassian Intelligence, native automation, advanced roadmaps) that their teams were requesting.\u003C\u002Fp>\n\n\n\n\u003Cp>The challenge was not whether to migrate, but how to migrate an environment of this complexity without disrupting a 3000-person engineering organization that ships code daily.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"What-made-this-migration-complex\">What made this migration complex\u003C\u002Fh3>\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>ScriptRunner at scale\u003C\u002Fstrong>: 200 Groovy scripts is not a configuration detail. It’s a parallel codebase. These scripts handled everything from custom field calculations and automated transitions to scheduled data synchronization and complex validators. In Cloud, ScriptRunner operates under a fundamentally different execution model: no direct server access, Atlassian Cloud APIs only, strict rate limiting. Every script needed to be audited, classified, and either rewritten for Cloud, replaced by native automation, or decommissioned.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>100,000 assets in JS:\u003C\u002Fstrong> The CMDB was deeply integrated into service management workflows. Assets were linked to incidents, changes, and service requests. Object schemas, import sources, and automation rules all needed to migrate intact, and Assets in Cloud behaves differently from Insight in Data Center in several areas (import scheduling, AQL syntax nuances, integration patterns).\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Clustered architecture:\u003C\u002Fstrong> Running Jira and Confluence in clustered mode meant the environment was designed for high availability and horizontal scaling. Migrating from a clustered topology to Cloud required careful planning around data consistency, session management during cutover, and validation that nothing was lost between nodes during the migration window.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Marketplace app ecosystem:\u003C\u002Fstrong> With dozens of apps installed, each one represented a migration decision. Some had automated Cloud migration paths. Others required manual reconfiguration. A few had no Cloud equivalent at all, requiring functional alternatives or custom development.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>This level of \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fevaluer-complexite-migration-atlassian-enterprise-gouvernance-jsm-integrations\" target=\"_blank\" rel=\"noreferrer noopener\">migration complexity\u003C\u002Fa> is exactly why we recommend a structured assessment before committing to a timeline.\u003C\u002Fp>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"The-Approach:-Assessment,-Remediation,-and-Phased-Cutover\">The Approach: Assessment, Remediation, and Phased Cutover\u003C\u002Fh2>\n\n\n\u003Cp>We structured the project in four phases over 6 months, with a dedicated team working alongside the client’s platform engineers.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"Phase-1:-Assessment-and-Architecture-(Months-1-2)\">Phase 1: Assessment and Architecture (Months 1-2)\u003C\u002Fh3>\n\n\n\u003Cp>The first phase produced the migration blueprint. We conducted a full audit of the environment covering:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Complete inventory of ScriptRunner scripts with criticality classification (must-migrate, nice-to-have, decommission)\u003C\u002Fli>\n\n\n\n\u003Cli>Marketplace app compatibility analysis with migration path for each (automated, manual, replace, remove)\u003C\u002Fli>\n\n\n\n\u003Cli>Assets schema review and Cloud compatibility validation\u003C\u002Fli>\n\n\n\n\u003Cli>Permission scheme audit and consolidation recommendations\u003C\u002Fli>\n\n\n\n\u003Cli>Integration mapping (CI\u002FCD pipelines, monitoring tools, internal platforms connected via API)\u003C\u002Fli>\n\n\n\n\u003Cli>Identity management assessment, leading to \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fatlassian-on-premise-sso-identity-management-case-study\" target=\"_blank\" rel=\"noreferrer noopener\">SSO implementation with Microsoft Entra ID\u003C\u002Fa> as part of the Cloud readiness workstream\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>This phase delivered a detailed migration plan with effort estimates, risk register, and sequencing logic. The client’s leadership used this to secure budget and align stakeholders across the organization.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"Phase-2:-Pre-Migration-Remediation-(Months-2-3)\">Phase 2: Pre-Migration Remediation (Months 2-3)\u003C\u002Fh3>\n\n\n\u003Cp>Before touching the migration tools, we addressed the technical debt that would have complicated or blocked the migration:\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>ScriptRunner remediation.\u003C\u002Fstrong> We classified all 200 scripts into four categories:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Scripts replaceable by native Jira Automation rules (approximately 40%)\u003C\u002Fli>\n\n\n\n\u003Cli>Scripts that needed rewriting for ScriptRunner Cloud’s execution model (approximately 30%)\u003C\u002Fli>\n\n\n\n\u003Cli>Scripts that required Forge app development as replacement (approximately 10%)\u003C\u002Fli>\n\n\n\n\u003Cli>Scripts that were obsolete or redundant and could be decommissioned (approximately 20%)\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>For the scripts requiring rewrite, we developed and tested Cloud-compatible versions in a sandbox environment before migration.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>App rationalization.\u003C\u002Fstrong> We worked with the client to decommission unused apps, consolidate overlapping functionality, and validate migration paths for critical apps. For apps without Cloud equivalents, we implemented alternatives and ran them in parallel on Data Center to validate before cutover.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Data cleanup.\u003C\u002Fstrong> Inactive projects, orphaned workflows, duplicate permission schemes, and unused custom fields were cleaned to reduce migration scope and simplify the target environment.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"Phase-3:-Migration-Execution-(Months-3-5)\">Phase 3: Migration Execution (Months 3-5)\u003C\u002Fh3>\n\n\n\u003Cp>We executed the migration using Atlassian’s Cloud Migration Assistants (JCMA for Jira\u002FJSM, CCMA for Confluence) in controlled batches:\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Jira Software\u003C\u002Fstrong> migrated first, in waves organized by project portfolio. Each wave followed the same protocol:\u003C\u002Fp>\n\n\n\n\u003Col start=\"1\" class=\"wp-block-list\">\n\u003Cli>Pre-migration validation (data integrity checks on source)\u003C\u002Fli>\n\n\n\n\u003Cli>Test migration in sandbox (full content, permissions, workflows)\u003C\u002Fli>\n\n\n\n\u003Cli>UAT with project owners\u003C\u002Fli>\n\n\n\n\u003Cli>Production migration during a planned maintenance window\u003C\u002Fli>\n\n\n\n\u003Cli>Post-migration validation (issue counts, attachments, links, permissions)\u003C\u002Fli>\n\u003C\u002Fol>\n\n\n\n\u003Cp>\u003Cstrong>Jira Service Management\u003C\u002Fstrong> followed, with particular attention to:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Assets\u002FCMDB migration and schema validation\u003C\u002Fli>\n\n\n\n\u003Cli>SLA configuration testing (calendar behavior differs between DC and Cloud)\u003C\u002Fli>\n\n\n\n\u003Cli>Portal configurations and customer-facing forms\u003C\u002Fli>\n\n\n\n\u003Cli>Queue behavior and automation rule compatibility\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>\u003Cstrong>Confluence\u003C\u002Fstrong> migrated last, leveraging our experience from \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fconfluence-cloud-migration-public-sector-case-study\" target=\"_blank\" rel=\"noreferrer noopener\">previous large-scale Confluence migrations\u003C\u002Fa>. Spaces were batched by department, with UAT cycles confirming content integrity, macro rendering, and permission inheritance.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"Phase-4:-Stabilization-and-Handover-(Months-5-6)\">Phase 4: Stabilization and Handover (Months 5-6)\u003C\u002Fh3>\n\n\n\u003Cp>The final phase focused on:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Hypercare support\u003C\u002Fstrong> for all 3000 users during the first weeks post-migration\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Performance monitoring\u003C\u002Fstrong> to identify and resolve any Cloud-specific behavior differences\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Documentation\u003C\u002Fstrong> of the new environment’s architecture, governance model, and operational procedures\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Knowledge transfer\u003C\u002Fstrong> to the client’s platform team for autonomous Cloud administration\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Decommissioning\u003C\u002Fstrong> of the Data Center infrastructure once all validation gates were passed\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"Benefits:-Reduced-Operational-Overhead,-Modern-Capabilities,-and-Scalable-Governance\">Benefits: Reduced Operational Overhead, Modern Capabilities, and Scalable Governance\u003C\u002Fh2>\n\n\n\u003Cp>Six months after project kickoff, the client’s entire Atlassian environment runs on Cloud Enterprise.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"Infrastructure-burden-eliminated\">Infrastructure burden eliminated\u003C\u002Fh3>\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>No more cluster management, node patching, or database maintenance\u003C\u002Fli>\n\n\n\n\u003Cli>No more coordinated upgrade windows requiring downtime\u003C\u002Fli>\n\n\n\n\u003Cli>Atlassian handles availability, performance, and security patching continuously\u003C\u002Fli>\n\n\n\n\u003Cli>The platform team reallocated approximately 30% of their time from infrastructure maintenance to value-adding platform engineering work\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"Modern-capabilities-unlocked\">Modern capabilities unlocked\u003C\u002Fh3>\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Atlassian Intelligence\u003C\u002Fstrong> available across Jira and Confluence, giving teams AI-powered search, summarization, and content generation\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Advanced Roadmaps\u003C\u002Fstrong> (Plans) in Cloud, enabling cross-team planning at portfolio level\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Native automation\u003C\u002Fstrong> replacing the majority of ScriptRunner scripts with a no-code interface that business teams can maintain themselves\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Cloud-native integrations\u003C\u002Fstrong> with the client’s CI\u002FCD pipeline, monitoring stack, and communication tools via Forge and Connect apps\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"Governance-and-security-improved\">Governance and security improved\u003C\u002Fh3>\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Atlassian Guard Premium\u003C\u002Fstrong> providing organization-wide security policies, data classification, and audit logging\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Data residency\u003C\u002Fstrong> configured for EU, ensuring data at rest stays within European boundaries (relevant for \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fdora-gdpr-solvency-ii-ce-que-votre-migration-atlassian-doit-adresser\" target=\"_blank\" rel=\"noreferrer noopener\">GDPR compliance\u003C\u002Fa>)\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Centralized identity management\u003C\u002Fstrong> via Microsoft Entra ID with SCIM provisioning, eliminating manual user administration\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Simplified permission model\u003C\u002Fstrong> after consolidation from 80+ schemes to 12 standardized schemes\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"Cost-predictability\">Cost predictability\u003C\u002Fh3>\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Licensing moved from perpetual + maintenance to a predictable annual subscription\u003C\u002Fli>\n\n\n\n\u003Cli>Infrastructure costs (servers, storage, networking, monitoring) eliminated entirely\u003C\u002Fli>\n\n\n\n\u003Cli>Total cost of ownership reduced when factoring in the platform team hours previously spent on maintenance\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"Key-Takeaway\">Key Takeaway\u003C\u002Fh2>\n\n\n\u003Cp>Migrating 3000 users from clustered Atlassian Data Center to Cloud Enterprise in 6 months is achievable, but only when the project is treated as a transformation rather than a lift-and-shift. The 200 ScriptRunner scripts alone represented weeks of analysis and rewriting. The 100,000 assets required schema-level validation. The app ecosystem needed rationalization, not just migration.\u003C\u002Fp>\n\n\n\n\u003Cp>The organizations that succeed at this scale are the ones that invest in a proper \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fassessment-cloud-atlassian-enterprise-a-quoi-ressemblent-les-8-premieres-semaines-avec-cbtw\">assessment phase\u003C\u002Fa> before committing to a go-live date. The assessment is what turns “we need to migrate” into “here’s exactly how, in what order, and by when.”\u003C\u002Fp>\n\n\n\n\u003Cdiv style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\">\u003C\u002Fdiv>\n\n\n\n\u003Cstyle>\n@font-face {\n  font-family: 'General Sans Medium';\n  font-weight: normal;\n  font-style: normal;\n}\nbody {\n  font-family: 'General Sans Medium', Arial, sans-serif;\n  margin: 0;\n  padding: 0;\n}\n.banner {\n  display: flex;\n  justify-content: space-between;\n  align-items: center;\n  background-color: #1C1C1C;\n  color: white;\n  padding: 60px 40px;\n  border-radius: 5px;\n}\n.cta-text {\n  font-size: 24px;\n  max-width: 70%;\n  word-wrap: break-word;\n}\ndiv .banner-cta-button {\n  background-color: #ffffff;\n  color: #1c1c1c;\n  border: none;\n  padding: 10px 20px;\n  text-decoration: none;\n  font-size: 18px;\n  border-radius: 5px;\n  white-space: nowrap;\n  transition: background-color 0.3s, color 0.3s, border 0.3s;\n}\ndiv .banner-cta-button:hover {\n  background-color: transparent;\n  color: #ffffff !important;\n  border: 2px solid #ffffff;\n}\n\u003C\u002Fstyle>\n\u003Cbody>\n\u003Cdiv class=\"banner\">\n  \u003Cdiv class=\"cta-text\">\n    Planning a Data Center to Cloud migration at scale\n  \u003C\u002Fdiv>\n  \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Fservice-overview\u002Fcloud-and-enterprise-platforms\u002Fatlassian\"\n     class=\"banner-cta-button\"\n     target=\"_blank\"\n     rel=\"noopener noreferrer\">\n    Découvrir l’assessment\n  \u003C\u002Fa>\n\u003C\u002Fdiv>\n\u003C\u002Fbody>\n",false,{"rendered":516,"protected":514},"\u003Cp>Key Challenges & Context: Clustered Data Center, 3000 Users, and Deep Customization Debt Our client is one of France’s largest online retailers, operating a high-traffic e-commerce platform that serves millions of customers. Their technology organization relies on Atlassian tools as the backbone of engineering workflows, service management, and cross-team collaboration. The environment was substantial: The […]\u003C\u002Fp>\n",15788,"standard",{"_acf_changed":514,"content-type":8,"inline_featured_image":514,"footnotes":8},[43],[],[523],59,[525],138,[527,508,528,529,530,531,532,533,534,535],"post-15787","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-studies","cbtw_industries-retail","cbtw_services-cloud-enterprise-platforms",{"authors":8,"article_authors":514,"direct_external_link":8,"post_region":537,"layout_builder":538},"global",[539],{"acf_fc_layout":540,"title":195,"ui_v2":541,"short_description":542,"cbtw_related_group_filters":543,"items":514,"link":548,"hubspot_form_id":8,"mainPostId":503,"region":197},"block_insights",true,"Access related expert insights",{"cbtw_related_category_filter":544,"cbtw_related_tag_filter":545,"cbtw_related_industry_filter":546,"cbtw_related_service_filter":547},[197,221],[],[],[],{"title":549,"url":550,"target":551},"View all insights","https:\u002F\u002Fcbtw.tech\u002Finsights","_self","\u003C!-- This site is optimized with the Yoast SEO Premium plugin v25.4 (Yoast SEO v25.4) - https:\u002F\u002Fyoast.com\u002Fwordpress\u002Fplugins\u002Fseo\u002F -->\n\u003Ctitle>How We Migrated 3000 Users from Atlassian Data Center to Cloud Enterprise in 6 Months\u003C\u002Ftitle>\n\u003Cmeta name=\"description\" content=\"Case study of a full Atlassian Data Center to Cloud Enterprise migration for a major French e-commerce platform.\" \u002F>\n\u003Cmeta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \u002F>\n\u003Clink rel=\"canonical\" href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fatlassian-data-center-cloud-migration-ecommerce-case-study\" \u002F>\n\u003Cmeta property=\"og:locale\" content=\"en_US\" \u002F>\n\u003Cmeta property=\"og:type\" content=\"article\" \u002F>\n\u003Cmeta property=\"og:title\" content=\"How We Migrated a Leading French 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It disrupts patient testing schedules, delays diagnoses, and strains the clinical teams who depend on continuous results. Our client, a global leader in medical technology, recognized this reality and engaged CBTW to lead a predictive analytics implementation that shifted their global service […]","2026-07-21","https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fpredictive-analytics-implementation-in-practice-medical-tech-case-study","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fcbtw-medical-technology-performance-monitoring-through-data-analytics.webp",{"medium":986,"large":987,"full":984},"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fcbtw-medical-technology-performance-monitoring-through-data-analytics-800x533.webp","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fcbtw-medical-technology-performance-monitoring-through-data-analytics-1024x683.webp",{"id":989,"title":990,"description":8,"excerpt":991,"date":993,"categories":220,"link":994,"image":995,"images":996},14553,"Modernizing Legal Workflows Across North America",{"rendered":992},"A LegalTech provider expanding into the U.S. and Canada needed stronger product architecture and automation. CBTW embedded cross-functional teams to redesign California court filing workflows and build automated registry, document, and mortgage systems in Ontario and British Columbia. The result: clearer user journeys, reduced manual processing, and a scalable technical foundation for North American growth.","2026-07-16","https:\u002F\u002Fcbtw.tech\u002Finsights\u002Flegal-workflow-modernization-north-america-case-study-2","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FModernizing-Legal-Workflows-Across-North-America.jpg",{"medium":997,"large":998,"full":995},"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FModernizing-Legal-Workflows-Across-North-America-800x558.jpg","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FModernizing-Legal-Workflows-Across-North-America-1024x715.jpg",{"id":1000,"title":1001,"description":8,"excerpt":1002,"date":1004,"categories":210,"link":1005,"image":1006,"images":1007},15693,"AI Won’t Fix Delivery Predictability On Its Own. Here’s what will and where to Start.",{"rendered":1003},"When a technology roadmap keeps slipping even though every function is busy, the cause is rarely visible in status reports alone. Friction builds in the connections between work: how priorities are set, how design inputs are handed off, where technical dependencies sit, when QA feedback arrives, and how delivery is governed. By the time a problem surfaces in a release, the signal that caused it usually started several steps upstream...","2026-07-13","https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fai-wont-fix-delivery-predictability-on-its-own-heres-what-will-and-where-to-start","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fai-workflow-cross-functional-delivery-network.webp",{"medium":1008,"large":1009,"full":1006},"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fai-workflow-cross-functional-delivery-network-800x533.webp","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002Fai-workflow-cross-functional-delivery-network-1024x683.webp",1784618133977]