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72\u002F100",[8],[495],{"id":496,"date":497,"date_gmt":497,"guid":498,"modified":499,"modified_gmt":499,"slug":500,"status":10,"type":501,"link":502,"title":503,"content":505,"excerpt":508,"author":510,"featured_media":511,"comment_status":512,"ping_status":512,"sticky":507,"template":8,"format":513,"meta":514,"categories":515,"tags":517,"cbtw_industries":518,"cbtw_services":519,"class_list":521,"acf":530,"yoast_head":547,"yoast_head_json":548,"lang":648,"translations":649,"cbtw_post_categories":650,"header":652,"layout_builder":653,"featured_image":661,"industries":667,"services":668,"cbtw_post_author":568,"breadcrumb":672,"primary_category_name":210,"post_region":531,"featured_image_url":566,"primary_industry_name":8,"primary_service_name":58,"pll_sync_post":678,"_links":679,"_embedded":727},10159,"2025-09-02T12:00:00",{"rendered":194},"2025-09-05T14:11:35","addressing-common-ai-implementation-challenges-with-a-strategy","post","https:\u002F\u002Fstaging.cbtw.tech\u002Finsights\u002Faddressing-common-ai-implementation-challenges-with-a-strategy",{"rendered":504},"Addressing Common AI Implementation Challenges with a Strategy",{"rendered":506,"protected":507},"\n\u003Cp>Using Artificial Intelligence (AI) to drive profitability is on every leader’s mind today. Most enterprises have \u003Cstrong>started to explore and experiment\u003C\u002Fstrong> with many use cases. This approach is good for understanding the potential of AI. However, without an actionable strategy, it carries the \u003Cstrong>risk of failure when it comes to extension and operationalization\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"h-avoid-ai-implementation-challenge-by-assessing-the-level-of-maturity\">Avoid AI Implementation Challenge by Assessing the Level of Maturity\u003C\u002Fh2>\n\n\n\u003Cp>To understand what to do, you need to know where you are. Based on our experience over the years, we developed a pragmatic framework for organizations to \u003Cstrong>assess their maturity\u003C\u002Fstrong> \u003Cstrong>in the use of AI\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Cp>Every organization should have \u003Cstrong>a strategy for each maturity level\u003C\u002Fstrong> in order to get a clear vision of what is to achieve with AI and how to get there. A \u003Ca href=\"https:\u002F\u002Fstaging.cbtw.tech\u002Finsights\u002Fthe-three-main-benefits-of-a-well-designed-ai-strategy\u002F\">well-designed AI strategy\u003C\u002Fa> allows your organization to solve any challenges that may arise during AI Implementation.\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\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Maturity-1024x576.png\" alt=\"Graph illustrating AI maturity assessment, where each stage may present an AI challenge to be overcome with a good strategy.\" class=\"wp-image-10250\" srcset=\"https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Maturity-1024x576.png 1024w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Maturity-800x450.png 800w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Maturity-100x56.png 100w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Maturity.png 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>M-Level 0:\u003C\u002Fstrong> The first phase focuses on AI interest and awareness.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>M-Level 1:\u003C\u002Fstrong> The second phase focus on exploration and experimentation. During this phase, multiple POCs (Proof of Concepts) are carried out. Throughout this first two phases, no positive returns are to be expected.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>M-Level 2:\u003C\u002Fstrong> Organizations start extending and operationalizing AI after initial success stories prove feasibility. During this phase, MVPs (Minimum Viable Products) replace POCs and MLOps enters the scene to determine the next phase.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>M-Level 3:\u003C\u002Fstrong> When all these phases are successfully completed, it is time to scale the usage of AI and this is where all business users come into play through self-service.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>M-Level 4:\u003C\u002Fstrong> In order to reach the final level of being a \u003Ca href=\"https:\u002F\u002Fstaging.cbtw.tech\u002Finsights\u002Fdata-literacy-for-a-data-driven-decision-mindset\">data-driven company\u003C\u002Fa>, data literacy, self-service analytics and self-service AI are the most important keywords.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>As companies advance in AI maturity, their return on investment increases. But, \u003Cstrong>during the first two phases, an actionable strategy is often neglected\u003C\u002Fstrong>. This most often leads to ongoing POCs for several months up to years. Organizations then face the \u003Cstrong>challenge of operationalizing AI\u003C\u002Fstrong> and remain stuck at M-Level 2.\u003C\u002Fp>\n\n\n\n\u003Cp>For this to succeed, all business units and IT needs to be aligned organizationally, technically and procedurally. This \u003Cstrong>alignment is much more difficult to perform when there was no AI strategy in place before\u003C\u002Fstrong>. So let’s look at the most common challenges when implementing AI.\u003C\u002Fp>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"most-common-challenges-of-ai-for-business-implementation\">Most Common Challenges of AI for Business Implementation\u003C\u002Fh2>\n\n\n\u003Cp>Implementing AI just for AI’s sake is not a sufficient definition of goals. Neither is implementation simply because “everybody is using it”.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"clear-business-value\">Clear Business Value\u003C\u002Fh3>\n\n\n\u003Cp>One of the biggest challenges faced when extending or operationalizing the use of AI is the missing formulation of \u003Cstrong>clear goals and actions\u003C\u002Fstrong>. Consequently, the respective steps and actions taken are difficult to derive. And as a further consequence, the \u003Cstrong>organization tends to get stuck in POCs. \u003C\u002Fstrong>It can also result in getting lost in detail on infrastructure or algorithms. This again leads to inefficiency and further loss of focus.\u003C\u002Fp>\n\n\n\n\u003Cp>Get a clear vision and finding a focus is the goal of an AI strategy. We recommend a \u003Cstrong>business-case-driven approach\u003C\u002Fstrong> and assessing the expected business value of each use case in the very beginning. This approach ensures that organizations effectively \u003Cstrong>combine AI and business value by design\u003C\u002Fstrong>. When we know which cases we want to implement, we can derive the corresponding requirements on what we need in order to achieve this vision. This comprises all requirements for architecture, data, team size, roles and processes.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"stakeholders-alignment\">Stakeholders Alignment\u003C\u002Fh3>\n\n\n\u003Cp>A gap between the visions of the C-levels and the respective tasks to be performed in the corresponding teams to achieve this vision is observed in many cases. This gap occurs usually when there is no further definition of what is specifically to be achieved with the help of AI, meaning \u003Cstrong>clear business value\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Cp>The very first thing to do is to get all stakeholders around the table with a \u003Ca href=\"https:\u002F\u002Fstaging.cbtw.tech\u002Finsights\u002Ffrom-theory-to-practice-a-generative-ai-workshop-to-guide-a-leading-bank\">(Generative) AI Workshop\u003C\u002Fa>. The stakeholders must include representatives from \u003Cstrong>C-level, business units and IT\u003C\u002Fstrong> as the extension and operationalization of AI requires interdisciplinary teams and stakeholders.\u003C\u002Fp>\n\n\n\n\u003Cp>In order to be successful, \u003Cstrong>business value\u003C\u002Fstrong> needs to be at the core of discussions. Even if it’s not easy to connect AI with business value right away, only a strategic approach combining innovative AI and business goals can do the job.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"expectation-amp-change-management\">Expectation & Change Management\u003C\u002Fh3>\n\n\n\u003Cp>A different area of AI challenges for business strategy is closely related to this. AI is an absolute hype and fear topic and these expectations need to be managed accordingly. If people never worked with AI, it is actually hard to have an \u003Cstrong>accurate level of expectations\u003C\u002Fstrong>. Without \u003Ca href=\"https:\u002F\u002Fstaging.cbtw.tech\u002Finsights\u002Fensuring-ai-adoption-through-model-understanding-and-explanation-xai\">ensuring AI Adoption\u003C\u002Fa>, people are expecting too much, or not expecting enough or are even afraid of AI.\u003C\u002Fp>\n\n\n\n\u003Cp>Proper change management is required in addition to managing expectations. People need to be part of the journey and need to \u003Cstrong>understand the purpose of changes\u003C\u002Fstrong>. Change and expectation management can both not be successful if the implementation of AI seems to be haphazard and inefficient.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"analytical-roadmap-design\">Analytical Roadmap Design\u003C\u002Fh3>\n\n\n\u003Cp>The vision and the clear action plan for its realization constitute what is known as the roadmap. The entire mission of \u003Cstrong>implementing AI\u003C\u002Fstrong> \u003Cstrong>has a clear focus\u003C\u002Fstrong> as soon as the analytical roadmap is developed. The roadmap allows transparency and make it easier to get everybody on board. At the same time, this approach reduces the risk of getting lost in agile experiments in interdisciplinary fields as clear roadmapping allow for tight project control. \u003C\u002Fp>\n\n\n\n\u003Cp>The combination of a clear and transparent framework through the roadmap and freedom for experimental procedures forms the perfect foundation for a \u003Ca href=\"https:\u002F\u002Fstaging.cbtw.tech\u002Finsights\u002Fai-strategy-definition-and-implementation-for-dat-group\">successful implementation of AI\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\u003Ch3 class=\"wp-block-heading\" id=\"data-availability\">Data Availability\u003C\u002Fh3>\n\n\n\u003Cp>The duo “Data” and “AI” can only be a winning team if we push the use of AI beyond the boundaries of data and AI teams and \u003Cstrong>include all business users\u003C\u002Fstrong>. If that is not managed well, there is a significant risk that chaos will take over.\u003C\u002Fp>\n\n\n\n\u003Cp>The core challenge lies in data availability and ownership. Different departments often control different data sources, creating barriers when AI solutions need comprehensive datasets. Sales teams may have customer interaction data, while operations hold process metrics, and finance controls budget information.\u003C\u002Fp>\n\n\n\n\u003Cp>Not only one, but all departments who are involved as AI products operators should be aligned. Especially the processes and infrastructure around AI products require a clear roadmap for all stakeholders. AI-powered solutions are complex and require interdisciplinary collaboration, making it difficult to achieve an actionable AI strategy if stakeholders work in silos.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Ca href=\"https:\u002F\u002Fhubs.la\u002FQ03F1G5V0\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"535\" src=\"https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FGenAi-Product-Sensitive-Data-Banner-Website_A_OnDemandWebinar_01-1024x535.jpg\" alt=\"Banner promoting a webinar on "Building Gen Ai Product with Sensitive Data"\" class=\"wp-image-10226\" srcset=\"https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FGenAi-Product-Sensitive-Data-Banner-Website_A_OnDemandWebinar_01-1024x535.jpg 1024w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FGenAi-Product-Sensitive-Data-Banner-Website_A_OnDemandWebinar_01-800x418.jpg 800w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FGenAi-Product-Sensitive-Data-Banner-Website_A_OnDemandWebinar_01-100x52.jpg 100w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FGenAi-Product-Sensitive-Data-Banner-Website_A_OnDemandWebinar_01.jpg 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\u003Ch2 class=\"wp-block-heading\" id=\"an-actionable-strategy\">An Actionable Strategy\u003C\u002Fh2>\n\n\n\u003Cp>A \u003Cstrong>long-term strategy\u003C\u002Fstrong> include planning and roadmapping. But, organizations need agile and iterative development. At the same time, only focusing on \u003Cstrong>short term agility\u003C\u002Fstrong> may lead to moving in the wrong direction for too long – frustration and disappointment will follow.\u003C\u002Fp>\n\n\n\n\u003Cp>An actionable and appropriate AI strategy is required to avoid all these challenges. For each maturity level, the focus of the strategy changes. It is important to keep in mind the \u003Cstrong>future scalability\u003C\u002Fstrong> of your AI strategy right from the beginning.\u003C\u002Fp>\n\n\n\n\u003Cp>No matter on which maturity level an organization is. To address AI challenges, an \u003Cstrong>actionable AI strategy \u003C\u002Fstrong>is key for success.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Ca href=\"https:\u002F\u002Fhubs.la\u002FQ03GtWHY0\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"598\" src=\"https:\u002F\u002Fstaging-admin.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\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Stragy-Solution-01.jpg 1024w, https:\u002F\u002Fstaging-admin.cbtw.tech\u002Fwp-content\u002Fuploads\u002FAI-Stragy-Solution-01-800x467.jpg 800w, https:\u002F\u002Fstaging-admin.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":509,"protected":507},"\u003Cp>Using Artificial Intelligence (AI) to drive profitability is on every leader’s mind today. Every organization should have a strategy for each maturity level in order to get a clear vision of what is to achieve with AI and how to get there. A well-designed AI strategy allows your organization to solve any challenges that may arise during AI Implementation.\u003C\u002Fp>\n",43,10252,"open","standard",{"_acf_changed":507,"content-type":8,"inline_featured_image":507,"footnotes":8},[516],46,[],[],[520],129,[522,501,523,524,525,526,527,528,529],"post-10159","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-insights","cbtw_services-ai-data-platforms",{"authors":8,"article_authors":507,"direct_external_link":8,"post_region":531,"layout_builder":532},"global",[533],{"acf_fc_layout":534,"title":195,"ui_v2":535,"short_description":536,"cbtw_related_group_filters":537,"items":507,"link":543,"hubspot_form_id":8,"mainPostId":496,"region":531},"block_insights",true,"Access related expert insights",{"cbtw_related_category_filter":538,"cbtw_related_tag_filter":539,"cbtw_related_industry_filter":540,"cbtw_related_service_filter":541},[197],[],[],[542],"ai-data-platforms",{"title":544,"url":545,"target":546},"View all insights","https:\u002F\u002Fstaging.cbtw.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>Solve Common AI Challenges with a Strategy - CBTW\u003C\u002Ftitle>\n\u003Cmeta name=\"description\" content=\"Discover the most common AI challenges in business and learn how a clear and appropriate strategy can help you gain value over time.\" \u002F>\n\u003Cmeta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \u002F>\n\u003Clink rel=\"canonical\" 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