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72\u002F100",[8],[494],{"id":495,"date":496,"date_gmt":496,"guid":497,"modified":498,"modified_gmt":498,"slug":499,"status":10,"type":500,"link":501,"title":502,"content":504,"excerpt":507,"author":509,"featured_media":510,"comment_status":511,"ping_status":511,"sticky":506,"template":8,"format":512,"meta":513,"categories":514,"tags":516,"cbtw_industries":517,"cbtw_services":518,"class_list":520,"acf":529,"yoast_head":545,"yoast_head_json":546,"lang":646,"translations":647,"cbtw_post_categories":648,"header":650,"layout_builder":651,"featured_image":659,"industries":670,"services":671,"cbtw_post_author":566,"breadcrumb":676,"primary_category_name":210,"post_region":544,"featured_image_url":564,"primary_industry_name":8,"primary_service_name":58,"pll_sync_post":682,"_links":683,"_embedded":731},10151,"2025-09-03T15:08:42",{"rendered":194},"2025-09-05T14:40:46","the-three-main-benefits-of-a-well-designed-ai-strategy","post","https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fthe-three-main-benefits-of-a-well-designed-ai-strategy",{"rendered":503},"The Three Main Benefits of a Well-designed AI Strategy",{"rendered":505,"protected":506},"\n\u003Cp>Most companies have already moved beyond the hype phase of their Artificial Intelligence (AI) journey. They already invested time to experiment and understands the true \u003Cstrong>potential of AI for their business\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Cp>They now want to move up the AI maturity ladder towards large-scale operationalization of use cases to see real benefits in day-to-day operations. And thus, move their business closer towards a truly \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fdata-literacy-for-a-data-driven-decision-mindset\">data-driven organization\u003C\u002Fa>. However, this next step brings new challenges. Addressing them with a \u003Cstrong>well-designed AI Strategy\u003C\u002Fstrong> unlock significant advantages. Here are the three most important ones.\u003C\u002Fp>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"h-1-nbsp-nbsp-nbsp-know-which-use-cases-brings-early-business-value\">1.    Know which use-cases brings early business value\u003C\u002Fh2>\n\n\n\u003Cp>Simultaneously facing lots of AI initiatives from the inside as well as success stories from the outside, most companies started their \u003Ca href=\"https:\u002F\u002Flp.cbtw.tech\u002Fgenerative-ai-journey-solution\">Generative AI journey\u003C\u002Fa> with experimentation.\u003C\u002Fp>\n\n\n\n\u003Cp>They conducted a number of \u003Cstrong>Proof-of-Concepts (PoCs\u003C\u002Fstrong>) that might or might not have succeeded. By doing so, you acquire the necessary experience and knowledge to truly understand what \u003Cstrong>AI can and can’t do\u003C\u002Fstrong> for your business.\u003C\u002Fp>\n\n\n\n\u003Cp>As long as you are in the explorative phase, it may be totally acceptable to have as many success stories as failures. But, once you’ve reached a certain level of maturity and start to go from experimentation to operationalization, the environment changes and \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Faddressing-common-ai-implementation-challenges-with-a-strategy\u002F\">common AI challenges\u003C\u002Fa> arise. To successfully make this transition, \u003Cstrong>identifying, prioritizing, and selecting the right use cases\u003C\u002Fstrong> to move forward with becomes critical.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FUse-Case-Matrix-Example-1024x576.png\" alt=\"\" class=\"wp-image-10273\" srcset=\"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FUse-Case-Matrix-Example-1024x576.png 1024w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FUse-Case-Matrix-Example-800x450.png 800w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FUse-Case-Matrix-Example-100x56.png 100w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FUse-Case-Matrix-Example.png 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Consequently, one of the most important – and often first – steps of setting up your AI strategy is the development of a \u003Cstrong>clear AI roadmap\u003C\u002Fstrong> (see example below). You can accurately compare different use cases by correlating the \u003Cstrong>expected future value\u003C\u002Fstrong> of each use case with its \u003Cstrong>technical feasibility­-\u003C\u002Fstrong>and thereby estimating the individual risk-return-ratios.\u003Ca id=\"_msocom_1\">\u003C\u002Fa>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAnalytical-Roadmap-1-1024x576.jpg\" alt=\"Analytical Roadmap for AI Strategy\" class=\"wp-image-10275\" srcset=\"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAnalytical-Roadmap-1-1024x576.jpg 1024w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAnalytical-Roadmap-1-800x450.jpg 800w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAnalytical-Roadmap-1-100x56.jpg 100w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAnalytical-Roadmap-1.jpg 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Trough visualizing your use cases in a value-feasibility-matrix, it becomes easy to identify the \u003Cstrong>low hanging fruits that bring early value at low risk\u003C\u002Fstrong> before moving towards riskier use cases. This approach delivers the first major benefit of a well-designed AI strategy: you build the right thing at the right time.\u003C\u002Fp>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"2-a-scalabilityproof-organizational-structure\">2. A Scalability-Proof Organizational Structure\u003C\u002Fh2>\n\n\n\u003Cp>Once you’ve chosen the most-promising use cases, you’ll want to make sure to implement them the best way possible. A well-designed AI strategy helps you develop the \u003Cstrong>organizational structure\u003C\u002Fstrong> needed to pave the way for any AI use case down the road. Specifically, it enables you to get two dimensions in order:\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>Structure & Processes\u003C\u002Fli>\n\n\n\n\u003Cli>Infrastructure & Tools\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>First, to \u003Cstrong>prevent common pitfalls\u003C\u002Fstrong> such as multiple data silos, parallel projects, hidden know-how or unclear responsibilities, new \u003Cstrong>roles and processes\u003C\u002Fstrong> need to be implemented. This helps to establish roles, responsibilities and processes to prevent uncontrolled growth, create ownership and bring your data in one place. . Because when it comes to AI, more data is better data.\u003C\u002Fp>\n\n\n\n\u003Cp>Setting up aunified infrastructure for organization-wide collaboration instead of distributed competition enables you and your company to \u003Cstrong>design good AI products\u003C\u002Fstrong>. The keyword here is \u003Cstrong>scalability\u003C\u002Fstrong>. Research\u003Csup>1\u003C\u002Fsup> shows that companies spend more and more time on the extension and the operationalization of ML models. And therefore less time on developing and improving such models as the number of productionized models grows. By choosing the right infrastructure and tools, you will avoid falling into this deployment trap.\u003C\u002Fp>\n\n\n\n\u003Cp>A well-designed AI strategy helps you to set up the \u003Cstrong>right responsibilities and processes\u003C\u002Fstrong>, make sure the \u003Cstrong>right data is collected\u003C\u002Fstrong> and choose the \u003Cstrong>right infrastructure and tools\u003C\u002Fstrong>. It enables you to build things right.\u003C\u002Fp>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"3-ai-product-adopted-by-all-stakeholders\">3. AI Product Adopted by All Stakeholders\u003C\u002Fh2>\n\n\n\u003Cp>Even the best structures, processes, tools and infrastructures can’t create value if they aren’t properly utilized. One of the key challenges in AI is convincing people to adopt it.\u003C\u002Fp>\n\n\n\n\u003Cp>Transparency and early involvement \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fensuring-ai-adoption-through-model-understanding-and-explanation-xai\">ensures AI Adoption\u003C\u002Fa>. It allows stakeholders to see and understand the true implications of AI for their work experience. Often, it’s especially those who possess the key business and process knowledge required to build an amazing AI system are those who feel the most threatened by it (e.g. Customer Service Agents vs. \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Ftaking-information-access-experience-to-a-new-level-with-a-generative-ai-powered-chatbot\">Generative AI-powered Chatbots\u003C\u002Fa>). A properly defined AI strategy helps them to understand\u003Cstrong> AI as a support system, not a threat. \u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Subsequently, fear decreases, and the stakeholder involvement increases. Once you reach this point, you can harness the \u003Cstrong>valuable knowledge\u003C\u002Fstrong> of your business stakeholders and integrate it\u003Cstrong> into your AI products\u003C\u002Fstrong>. Share your vision with them in order to get them on-board and unlock their knowledge: AI doesn’t replace but support.\u003C\u002Fp>\n\n\n\n\u003Cp>From a design perspective, bringing all stakeholders to the table and integrating them into the AI development process early on allows you to investigate, understand and integrate their individual needs. This helps to \u003Cstrong>prevent the ivory tower syndrome\u003C\u002Fstrong> – developers building fancy stuff nobody needs – and to actually build the things your stakeholders want and need.\u003C\u002Fp>\n\n\n\n\u003Cp>A well-designed AI strategy is the foundation for changing your company culture into the right mindset to really capture the value of AI. A transparent and easy to communicate AI strategy that aligns stakeholders and brings them to the table early on leads to stakeholder buy-in and opens up the door for truly user-centred design.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Ca href=\"https:\u002F\u002Fhubs.la\u002FQ03F1WvD0\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"535\" src=\"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002F4-AI-2-GenAI-Use-Cases-1024x535.png\" alt=\"Banner to download a White Paper on use-case examples bringing early business value in a well designed AI strategy\" class=\"wp-image-10155\" srcset=\"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002F4-AI-2-GenAI-Use-Cases-1024x535.png 1024w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002F4-AI-2-GenAI-Use-Cases-800x418.png 800w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002F4-AI-2-GenAI-Use-Cases-100x52.png 100w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002F4-AI-2-GenAI-Use-Cases.png 1201w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"how-to-develop-an-ai-strategy-that-delivers-those-benefits\">How to develop an AI strategy that delivers those benefits?\u003C\u002Fh2>\n\n\n\u003Cp>We have years of extensive experience in sparking enthusiasm in and aligning stakeholder, assessing AI use cases and setting up processes and infrastructure. We are both holistic data strategist and seasoned technical implementers.\u003C\u002Fp>\n\n\n\n\u003Cp>This puts us in a unique position to combine both points of view:  \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>We co-build an AI Strategy that is focused on \u003Cstrong>business value\u003C\u002Fstrong> on the one hand and \u003Cstrong>technical feasibility\u003C\u002Fstrong> on the other. By applying ourproven roadmap methodology\u003Cstrong>, \u003C\u002Fstrong>we empower you to build the right things. We are capable of assessing your current AI maturity level and the future value of your potential use cases from a management point of view, and from an engineering perspective.\u003C\u002Fli>\n\n\n\n\u003Cli>As we work with infrastructure components and specific tools in our daily consulting lives, we help you to introduce tailor-made processes, infrastructure, and tools to \u003Cstrong>build things right!\u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>It is in our DNA to cooperate closely with business departments and their users. We are well experienced in addressing their concerns and coaching them to use the final AI solutions. We know very well that even the best solutions fail without stakeholder buy-in. Therefore, we put our focus on creating \u003Cstrong>expectations rooted in reality\u003C\u002Fstrong>, communicating the \u003Cstrong>true capabilities of AI\u003C\u002Fstrong> to stakeholders and even showing them hands-on why they should not be threatened by but eager to adopt AI. From \u003Ca href=\"https:\u002F\u002Fcbtw.tech\u002Finsights\u002Ffrom-theory-to-practice-a-generative-ai-workshop-to-guide-a-leading-bank\">theory to practice\u003C\u002Fa>, \u003Cstrong>we bring the right mindset to your company!\u003C\u002Fstrong>\u003Ca id=\"_msocom_1\">\u003C\u002Fa>\u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.scribd.com\u002Fdocument\u002F495698473\u002FAlgorithmia-2021-Enterprise-ML-trends\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Algorithmia 2021 – Enterprise – ML – Trends | PDF | Artificial Intelligence | Intelligence (AI) & Semantics\u003C\u002Fa>.\u003C\u002Fli>\n\u003C\u002Fol>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Ca href=\"https:\u002F\u002Fhubs.la\u002FQ03Gvhpq0\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"598\" src=\"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Stragy-Solution-01.jpg\" alt=\"Build an AI Strategy that delivers measurable business value – from vision to deployment.\" class=\"wp-image-10242\" srcset=\"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Stragy-Solution-01.jpg 1024w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Stragy-Solution-01-800x467.jpg 800w, https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Stragy-Solution-01-100x58.jpg 100w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n",false,{"rendered":508,"protected":506},"\u003Cp>Most companies have already moved beyond the hype phase of their Artificial Intelligence (AI) journey. They already invested time to experiment and understands the true potential of AI for their business.\u003C\u002Fp>\n",43,10152,"open","standard",{"_acf_changed":506,"content-type":8,"inline_featured_image":506,"footnotes":8},[515],46,[],[],[519],129,[521,500,522,523,524,525,526,527,528],"post-10151","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-insights","cbtw_services-ai-data-platforms",{"authors":8,"article_authors":506,"direct_external_link":8,"post_region":8,"layout_builder":530},[531],{"acf_fc_layout":532,"title":195,"ui_v2":533,"short_description":534,"cbtw_related_group_filters":535,"items":506,"link":540,"hubspot_form_id":8,"mainPostId":495,"region":544},"block_insights",true,"Access related expert insights",{"cbtw_related_category_filter":536,"cbtw_related_tag_filter":537,"cbtw_related_industry_filter":538,"cbtw_related_service_filter":539},[197],[],[],[],{"title":541,"url":542,"target":543},"View all insights","https:\u002F\u002Fcbtw.tech\u002Finsights","_self","global","\u003C!-- This site is optimized with the Yoast SEO Premium plugin v25.4 (Yoast SEO v25.4) - 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Before approving wider access, the team finds familiar issues: Jira workflows vary between teams, Confluence content has uneven ownership, permissions have accumulated over time, and software delivery still crosses separate testing, approval and release processes.  The decision is whether to expand now, […]","2026-10-01","https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fatlassian-ai-can-speed-up-work-but-only-if-the-platform-keeps-up","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FScaling-AI-without-the-right-foundations-can-amplify-existing-issues.webp",{"medium":973,"large":974,"full":971},"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FScaling-AI-without-the-right-foundations-can-amplify-existing-issues-800x533.webp","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FScaling-AI-without-the-right-foundations-can-amplify-existing-issues-1024x683.webp",{"id":976,"title":977,"description":8,"excerpt":978,"date":980,"categories":210,"link":981,"image":982,"images":983},16374,"When Reporting Holds Up Decisions",{"rendered":979},"How to create one trusted view of delivery cost and risk without starting a long data programme  When leaders spend the meeting debating the numbers  The project portfolio review is under way. The delivery report says the programme is on track. Finance shows spending ahead of plan. The latest resource forecast sits in another spreadsheet […]","2026-09-22","https:\u002F\u002Fcbtw.tech\u002Finsights\u002Fwhen-reporting-holds-up-decisions","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FUnified-Business-Dashboard-for-Delivery-Reporting.webp",{"medium":984,"large":985,"full":982},"https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FUnified-Business-Dashboard-for-Delivery-Reporting-800x533.webp","https:\u002F\u002Fadmin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FUnified-Business-Dashboard-for-Delivery-Reporting-1024x683.webp",1791794483730]