{"id":28355,"date":"2026-03-09T08:00:00","date_gmt":"2026-03-09T06:00:00","guid":{"rendered":"https:\/\/pointofnew.at\/?p=28355"},"modified":"2026-03-30T19:57:59","modified_gmt":"2026-03-30T17:57:59","slug":"ai-strategy-for-enterprises-5-step-roadmap-to-success","status":"publish","type":"post","link":"https:\/\/pointofnew.at\/en\/blog\/ai-strategy-for-enterprises-5-step-roadmap-to-success\/","title":{"rendered":"AI Strategy for Enterprises: 5-Step Roadmap to Success"},"content":{"rendered":"<p><!--\nFocus Keyword: AI Strategy Enterprise\nMeta Title: AI Strategy for Enterprises: 5-Step Roadmap to Success\nMeta Description: 56% of CEOs see no ROI from AI. As highlighted by <a href=\"https:\/\/a16z.com\/big-ideas-in-tech-2025\/\" target=\"_blank\" rel=\"noopener\">Andreessen Horowitz<\/a> in their Big Ideas report, According to <a href=\"https:\/\/sloanreview.mit.edu\/big-ideas\/artificial-intelligence-business-strategy\/\" target=\"_blank\" rel=\"noopener\">MIT Sloan Management Review<\/a>, Learn how to build an AI strategy that delivers measurable results \u2013 with our proven 5-step framework.\nCategory: 218\nLength: 1150 words\n--><\/p>\n<div style=\"background:#f0f1f3;border-radius:12px;padding:1.5rem 2rem;margin-bottom:2rem;\">\n<strong>Key Takeaways<\/strong><\/p>\n<ul style=\"margin-top:0.75rem;margin-bottom:0;\">\n<li>56% of CEOs report no revenue increase or cost reduction from AI \u2013 despite massive investments<\/li>\n<li>80% of AI projects fail not due to technology, but due to lack of strategic preparation<\/li>\n<li>A well-designed AI strategy reduces risk and shortens ROI timelines from 4 years to under 18 months<\/li>\n<li>The 5-step roadmap helps you identify measurable use cases and implement them systematically<\/li>\n<li>Successful companies achieve 2.7x higher return on investment through structured AI adoption<\/li>\n<\/ul>\n<\/div>\n<nav style=\"background:#f9f9f9;padding:1.5rem 2rem;border-radius:8px;margin-bottom:2rem;\">\n<strong>Table of Contents<\/strong><\/p>\n<ol style=\"margin-top:0.75rem;margin-bottom:0;\">\n<li><a href=\"#why-fail\" style=\"color:#1a5276;text-decoration:none;\">Why Most AI Projects Fail<\/a><\/li>\n<li><a href=\"#5-steps\" style=\"color:#1a5276;text-decoration:none;\">The 5 Steps to Your AI Roadmap<\/a><\/li>\n<li><a href=\"#prioritization\" style=\"color:#1a5276;text-decoration:none;\">Prioritizing Use Cases: The Now-How-Wow Framework<\/a><\/li>\n<li><a href=\"#governance\" style=\"color:#1a5276;text-decoration:none;\">Governance &#038; Quick Wins: Striking the Balance<\/a><\/li>\n<li><a href=\"#faq\" style=\"color:#1a5276;text-decoration:none;\">Frequently Asked Questions<\/a><\/li>\n<\/ol>\n<\/nav>\n<h2 id=\"why-fail\">Why Most AI Projects Fail<\/h2>\n<p>The numbers are sobering: According to the <a href=\"https:\/\/www.pwc.com\/gx\/en\/issues\/c-suite-insights\/ceo-survey.html\" target=\"_blank\" rel=\"nofollow noopener\">PwC CEO Survey 2026<\/a>, 56% of CEOs report that AI has neither increased revenue nor reduced costs \u2013 despite massive investments. Globally, enterprise AI adoption sits at around 35%, but successful implementation remains elusive for most.<\/p>\n<p><strong>The problem is rarely the technology.<\/strong> A RAND Corporation study shows that 80% of failed AI initiatives fail due to inadequate strategic preparation, lack of cultural change, and insufficient <a href=\"https:\/\/pointofnew.at\/en\/glossary\/change-management\/\" style=\"color:#1a5276;\">change management<\/a>.<\/p>\n<p>In our work with enterprises across manufacturing, healthcare, and financial services, we see three recurring mistakes:<\/p>\n<ul>\n<li><strong>&#8220;AI because everyone else is doing it&#8221;<\/strong> \u2013 Technology without a concrete business case leads to pilot graveyards<\/li>\n<li><strong>Poor data foundation<\/strong> \u2013 AI without clean, accessible data is like a car without fuel<\/li>\n<li><strong>Lack of organizational buy-in<\/strong> \u2013 IT projects without C-suite commitment and process adaptation fizzle out<\/li>\n<\/ul>\n<p>The good news: With the right <a href=\"https:\/\/pointofnew.at\/en\/glossary\/ai-strategy-for-companies\/\" style=\"color:#1a5276;\">AI strategy<\/a>, you can shorten the ROI timeline from the average 2-4 years to under 18 months. According to a BCG study, successful companies achieve 2.7x higher return on investment.<\/p>\n<h2 id=\"5-steps\">The 5 Steps to Your AI Roadmap<\/h2>\n<p>An effective AI strategy doesn&#8217;t need complex frameworks \u2013 but it does need a clear plan. Here are five steps that work:<\/p>\n<h3>Step 1: Define Current State &#038; Vision<\/h3>\n<p><strong>Where are you today \u2013 and where do you want to be?<\/strong><\/p>\n<p>Start with an honest assessment:<\/p>\n<ul>\n<li>What data are we already capturing \u2013 and where is it stored?<\/li>\n<li>Which processes could become more efficient through automation?<\/li>\n<li>Where are we currently losing time, money, or quality?<\/li>\n<li>What strategic goals are we pursuing over the next 3 years?<\/li>\n<\/ul>\n<p>Then formulate a clear vision: <em>&#8220;Within 18 months, we want to automate 70% of customer inquiry pre-qualification, saving 30% processing time.&#8221;<\/em><\/p>\n<h3>Step 2: Identify &#038; Evaluate Use Cases<\/h3>\n<p><strong>Not everything at once \u2013 but the right things first.<\/strong><\/p>\n<p>Collect potential use cases across your value chain:<\/p>\n<ul>\n<li><strong>Customer Interaction:<\/strong> Chatbots, personalized recommendations, sentiment analysis<\/li>\n<li><strong>Operations:<\/strong> Predictive maintenance, process optimization, quality control<\/li>\n<li><strong>Marketing &#038; Sales:<\/strong> Lead scoring, dynamic pricing, content generation<\/li>\n<li><strong>HR &#038; Administration:<\/strong> Resume screening, automated invoice processing<\/li>\n<\/ul>\n<p>Evaluate each use case based on three criteria:<\/p>\n<ol>\n<li><strong>Business Impact<\/strong> \u2013 What&#8217;s the potential value (time\/cost savings, revenue increase)?<\/li>\n<li><strong>Feasibility<\/strong> \u2013 Do we have the data, skills, and infrastructure?<\/li>\n<li><strong>Strategic Relevance<\/strong> \u2013 Does it contribute to our long-term goals?<\/li>\n<\/ol>\n<h3>Step 3: Create Prioritization &#038; Roadmap<\/h3>\n<p><strong>Quick wins first, then scale.<\/strong><\/p>\n<p>Use the <strong>Now-How-Wow Framework<\/strong> (see next section) to cluster use cases:<\/p>\n<ul>\n<li><strong>Now:<\/strong> Quick to implement, immediate value \u2192 Launch in Q1<\/li>\n<li><strong>How:<\/strong> High value but complex \u2192 Detailed planning in Q2, implementation in Q3<\/li>\n<li><strong>Wow:<\/strong> Strategically important but long-term \u2192 Pilot phase in Q4<\/li>\n<\/ul>\n<p>Create an 18-month roadmap with clear milestones, responsibilities, and KPIs.<\/p>\n<h3>Step 4: Establish Governance &#038; Accountability<\/h3>\n<p><strong>AI needs guardrails \u2013 technical, legal, ethical.<\/strong><\/p>\n<p>Define clear rules:<\/p>\n<ul>\n<li><strong>Privacy &#038; Compliance:<\/strong> GDPR-compliant data processing, <a href=\"https:\/\/pointofnew.at\/en\/glossary\/ai-strategy-for-companies\/\" style=\"color:#1a5276;\">AI Act<\/a> conformity<\/li>\n<li><strong>Ethics &#038; Transparency:<\/strong> Bias mitigation, explainable AI decisions<\/li>\n<li><strong>Roles &#038; Ownership:<\/strong> Who&#8217;s responsible for model training, monitoring, escalation?<\/li>\n<li><strong>Security:<\/strong> Protection against prompt injection, data leakage, model poisoning<\/li>\n<\/ul>\n<p>Gartner recommends an <strong>AI Council<\/strong> with representatives from IT, business units, legal, and management \u2013 not as a brake, but as an enabler.<\/p>\n<h3>Step 5: Pilot, Measure, Scale<\/h3>\n<p><strong>Start small, learn fast, scale smart.<\/strong><\/p>\n<p>Begin with a manageable pilot project (8-12 weeks):<\/p>\n<ul>\n<li>Define <strong>measurable success criteria<\/strong> (e.g., &#8220;20% faster processing&#8221;)<\/li>\n<li>Involve <strong>real users<\/strong> early \u2013 their feedback is invaluable<\/li>\n<li>Document <strong>learnings<\/strong> systematically (what works, what doesn&#8217;t?)<\/li>\n<li>Communicate successes \u2013 and setbacks \u2013 transparently<\/li>\n<\/ul>\n<p>If the pilot succeeds: Scale gradually. If not: Analyze, adjust \u2013 and try again. <a href=\"https:\/\/pointofnew.at\/en\/glossary\/agile-methods\/\" style=\"color:#1a5276;\">Agile methods<\/a> work for AI projects too.<\/p>\n<h2 id=\"prioritization\">Prioritizing Use Cases: The Now-How-Wow Framework<\/h2>\n<p>You&#8217;ve collected 20 potential AI use cases \u2013 but only have budget for 3. How do you decide?<\/p>\n<p>The <strong>Now-How-Wow Framework<\/strong> visualizes feasibility vs. impact and helps with prioritization:<\/p>\n<div style=\"background:#f9f9f9;border-left:4px solid #2563eb;padding:1.5rem;margin:1.5rem 0;border-radius:4px;\">\n<h4 style=\"margin-top:0;color:#1e3a5f;\">Now-How-Wow Framework<\/h4>\n<table style=\"width:100%;border-collapse:collapse;\">\n<thead>\n<tr style=\"background:#e3e7ed;\">\n<th style=\"padding:0.75rem;text-align:left;border:1px solid #d5d8dc;\">Category<\/th>\n<th style=\"padding:0.75rem;text-align:left;border:1px solid #d5d8dc;\">Feasibility<\/th>\n<th style=\"padding:0.75rem;text-align:left;border:1px solid #d5d8dc;\">Impact<\/th>\n<th style=\"padding:0.75rem;text-align:left;border:1px solid #d5d8dc;\">Recommendation<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\"><strong>NOW<\/strong><\/td>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\">High<\/td>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\">Medium-High<\/td>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\">Start immediately \u2013 Quick wins<\/td>\n<\/tr>\n<tr style=\"background:#f9f9f9;\">\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\"><strong>HOW<\/strong><\/td>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\">Low-Medium<\/td>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\">High<\/td>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\">Plan in detail, then implement<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\"><strong>WOW<\/strong><\/td>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\">Low<\/td>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\">Very High<\/td>\n<td style=\"padding:0.75rem;border:1px solid #d5d8dc;\">Long-term \u2013 Innovation pipeline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p><strong>Real-world examples:<\/strong><\/p>\n<ul>\n<li><strong>NOW:<\/strong> Email categorization with ChatGPT API \u2192 Setup in 2 weeks, 40% time savings in support<\/li>\n<li><strong>HOW:<\/strong> Predictive maintenance for production equipment \u2192 Requires sensors, data history, ML model \u2192 6 months implementation, 15% fewer downtimes<\/li>\n<li><strong>WOW:<\/strong> Fully automated product development with generative AI \u2192 Requires cultural shift, new processes, top management commitment \u2192 18+ months<\/li>\n<\/ul>\n<p><strong>Our recommendation:<\/strong> Start with 2-3 NOW projects, plan 1 HOW project in parallel, and define 1 WOW vision for the next 2 years.<\/p>\n<h2 id=\"governance\">Governance &#038; Quick Wins: Striking the Balance<\/h2>\n<p>Here lies the biggest challenge: <strong>Too little governance leads to chaos and compliance risks. Too much stifles innovation.<\/strong><\/p>\n<p>Here&#8217;s how to find the balance:<\/p>\n<h3>Quick Wins with Lean Governance<\/h3>\n<p>For NOW projects (low risk, fast implementation):<\/p>\n<ul>\n<li><strong>Lightweight Approval:<\/strong> Checklist instead of multi-level committee decisions<\/li>\n<li><strong>Pre-approved Tools:<\/strong> List of vetted AI services (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI)<\/li>\n<li><strong>Fast Feedback:<\/strong> Weekly 15-minute standups instead of monthly steering committees<\/li>\n<\/ul>\n<h3>Rigorous Governance for Critical Use Cases<\/h3>\n<p>For HOW\/WOW projects (high risk, large impact):<\/p>\n<ul>\n<li><strong>AI Impact Assessment:<\/strong> Analysis of bias, discrimination, security risks<\/li>\n<li><strong>Multi-Layer Approval:<\/strong> Business unit \u2192 IT \u2192 Legal \u2192 Executive management<\/li>\n<li><strong>Continuous Monitoring:<\/strong> Model drift detection, performance tracking, audit logs<\/li>\n<\/ul>\n<div style=\"background:linear-gradient(135deg,#1e3a5f,#2563eb);color:#fff;padding:2rem;border-radius:12px;margin:2rem 0;text-align:center;\">\n<h3 style=\"color:#fff;margin-top:0;\">Ready to Test Your AI Strategy?<\/h3>\n<p style=\"font-size:1.1rem;\">We help you turn pilot projects into measurable success \u2013 with the right strategy, prioritized use cases, and a clear roadmap.<\/p>\n<p><a href=\"https:\/\/pointofnew.at\/en\/contact\/\" style=\"display:inline-block;background:#fff;color:#1e3a5f;padding:0.75rem 2rem;border-radius:8px;text-decoration:none;font-weight:600;margin-top:0.5rem;\">Request AI Strategy Workshop<\/a>\n<\/div>\n<h2 id=\"faq\">Frequently Asked Questions<\/h2>\n<p><script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How long does it take for an AI strategy to deliver measurable results?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Quick wins are often visible after 8-12 weeks (e.g., automated email categorization). Strategic projects require 6-18 months. The typical ROI timeframe according to Deloitte is 2-4 years \u2013 with a structured strategy, you can shorten this to under 18 months.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Do we need a dedicated AI department or external consultants?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"It depends on your size and ambition. For initial pilot projects, an internal champion (e.g., from IT) plus external sparring partner often suffices. For 3-5 parallel AI projects, a dedicated team (data scientists, ML engineers, product owners) is recommended. External consultants help with kickstart and strategy development \u2013 but operational implementation should be anchored internally.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What data do we need for a successful AI strategy?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Less is more \u2013 as long as the data is clean, structured, and accessible. Start with what you have: CRM data, email histories, production logs, customer feedback. Quality matters more than quantity: Is the data current? Consistent? Stored in compliance with privacy regulations? Often the biggest lever is breaking down existing data silos.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How do we avoid AI projects becoming pilot graveyards?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Three success factors: (1) Clear business case from the start \u2013 not 'technology looking for a problem'. (2) Early involvement of end users \u2013 if sales doesn't use the tool, it was all for nothing. (3) Management commitment \u2013 AI requires budget, time, and cultural change. Without C-suite backing, most initiatives fizzle out.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What regulatory requirements must we consider?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"In the EU, the AI Act has been in effect since 2024. High-risk applications (e.g., credit scoring, HR decisions, critical infrastructure) are subject to strict requirements: risk analysis, human oversight, transparency obligations, documentation. Generative AI has its own requirements (e.g., labeling obligation for AI-generated content). Additionally, GDPR and industry-specific regulations apply (e.g., healthcare, finance). Our tip: Bring legal into the conversation early.\"\n      }\n    }\n  ]\n}\n<\/script><\/p>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">How long does it take for an AI strategy to deliver measurable results?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">Quick wins are often visible after 8-12 weeks (e.g., automated email categorization). Strategic projects require 6-18 months. The typical ROI timeframe according to Deloitte is 2-4 years \u2013 with a structured strategy, you can shorten this to under 18 months.<\/div>\n<\/details>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">Do we need a dedicated AI department or external consultants?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">It depends on your size and ambition. For initial pilot projects, an internal champion (e.g., from IT) plus external sparring partner often suffices. For 3-5 parallel AI projects, a dedicated team (data scientists, ML engineers, product owners) is recommended. External consultants help with kickstart and strategy development \u2013 but operational implementation should be anchored internally.<\/div>\n<\/details>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">What data do we need for a successful AI strategy?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">Less is more \u2013 as long as the data is clean, structured, and accessible. Start with what you have: CRM data, email histories, production logs, customer feedback. Quality matters more than quantity: Is the data current? Consistent? Stored in compliance with privacy regulations? Often the biggest lever is breaking down existing data silos.<\/div>\n<\/details>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">How do we avoid AI projects becoming pilot graveyards?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">Three success factors: (1) Clear business case from the start \u2013 not &#8216;technology looking for a problem&#8217;. (2) Early involvement of end users \u2013 if sales doesn&#8217;t use the tool, it was all for nothing. (3) Management commitment \u2013 AI requires budget, time, and cultural change. Without C-suite backing, most initiatives fizzle out.<\/div>\n<\/details>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">What regulatory requirements must we consider?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">In the EU, the AI Act has been in effect since 2024. High-risk applications (e.g., credit scoring, HR decisions, critical infrastructure) are subject to strict requirements: risk analysis, human oversight, transparency obligations, documentation. Generative AI has its own requirements (e.g., labeling obligation for AI-generated content). Additionally, GDPR and industry-specific regulations apply (e.g., healthcare, finance). Our tip: Bring legal into the conversation early.<\/div>\n<\/details>\n<hr style=\"margin:2rem 0;border:none;border-top:1px solid #d5d8dc;\">\n<h3>Related Topics<\/h3>\n<div style=\"display:flex;flex-wrap:wrap;gap:0.3rem;margin-bottom:1.5rem;\">\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/ai-strategy-for-companies\/\" style=\"display:inline-block;background:white;border:1px solid #d5d8dc;border-radius:20px;padding:0.4rem 1rem;color:#1a5276;text-decoration:none;font-size:0.95em;\">AI Strategy<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/change-management\/\" style=\"display:inline-block;background:white;border:1px solid #d5d8dc;border-radius:20px;padding:0.4rem 1rem;color:#1a5276;text-decoration:none;font-size:0.95em;\">Change Management<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/ai-strategy-for-companies\/\" style=\"display:inline-block;background:white;border:1px solid #d5d8dc;border-radius:20px;padding:0.4rem 1rem;color:#1a5276;text-decoration:none;font-size:0.95em;\">AI Act<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/agile-methods\/\" style=\"display:inline-block;background:white;border:1px solid #d5d8dc;border-radius:20px;padding:0.4rem 1rem;color:#1a5276;text-decoration:none;font-size:0.95em;\">Agile Methods<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/digital-transformation\/\" style=\"display:inline-block;background:white;border:1px solid #d5d8dc;border-radius:20px;padding:0.4rem 1rem;color:#1a5276;text-decoration:none;font-size:0.95em;\">Digital Transformation<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/data-driven-business-models\/\" style=\"display:inline-block;background:white;border:1px solid #d5d8dc;border-radius:20px;padding:0.4rem 1rem;color:#1a5276;text-decoration:none;font-size:0.95em;\">Data Governance<\/a>\n<\/div>\n<h3>Further Reading<\/h3>\n<ul>\n<li><a href=\"https:\/\/pointofnew.at\/en\/blog\/ai-strategy-for-enterprises-5-step-roadmap-to-success\/\" style=\"color:#1a5276;\">Implementing AI in Your Enterprise: The Complete 2026 Guide<\/a><\/li>\n<li><a href=\"https:\/\/pointofnew.at\/en\/blog\/digital-transformation-sme-2026\/\" style=\"color:#1a5276;\">Digital Transformation: Why Many Fail \u2013 And How to Get It Right<\/a><\/li>\n<li><\/li>\n<li><a href=\"https:\/\/pointofnew.at\/en\/business-model-innovation-services\/innovation-workshops\/\" style=\"color:#1a5276;\">Innovation Workshops: Your AI Roadmap in 2 Days<\/a><\/li>\n<\/ul>\n<div style=\"margin-top:2rem;padding-top:1.5rem;border-top:1px solid #e5e7eb;\">\n<p style=\"font-size:1.1rem;font-weight:600;color:#374151;margin-bottom:1rem;\">Related Terms:<\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:0.5rem;\">\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/ai-strategy-for-companies\/\" style=\"display:inline-block;padding:0.5rem 1rem;background:#f3f4f6;border-radius:9999px;color:#1a5276;text-decoration:none;font-size:0.9rem;\">AI Strategy for Companies<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/digital-transformation\/\" style=\"display:inline-block;padding:0.5rem 1rem;background:#f3f4f6;border-radius:9999px;color:#1a5276;text-decoration:none;font-size:0.9rem;\">Digital Transformation<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/innovation-strategy\/\" style=\"display:inline-block;padding:0.5rem 1rem;background:#f3f4f6;border-radius:9999px;color:#1a5276;text-decoration:none;font-size:0.9rem;\">Innovation Strategy<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/innovation-management\/\" style=\"display:inline-block;padding:0.5rem 1rem;background:#f3f4f6;border-radius:9999px;color:#1a5276;text-decoration:none;font-size:0.9rem;\">Innovation Management<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/change-management\/\" style=\"display:inline-block;padding:0.5rem 1rem;background:#f3f4f6;border-radius:9999px;color:#1a5276;text-decoration:none;font-size:0.9rem;\">Change management<\/a>\n<\/div>\n<\/div>\n<div style=\"margin-top:2rem;padding-top:1.5rem;border-top:1px solid #e5e7eb;\">\n<p style=\"font-size:1.1rem;font-weight:600;color:#374151;margin-bottom:0.75rem;\">Further Reading:<\/p>\n<div style=\"display:flex;flex-direction:column;gap:0.25rem;\">\n<a href=\"https:\/\/pointofnew.at\/en\/blog\/ai-agents-in-business-consulting-how-openclaw-changes-the-game\/\" style=\"color:#1a5276;text-decoration:none;font-size:0.95rem;\">\u2192 AI Agents in Business Consulting: How OpenClaw Changes the Game<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/blog\/digital-transformation-sme-2026\/\" style=\"color:#1a5276;text-decoration:none;font-size:0.95rem;\">\u2192 Digital Transformation for SMEs: Where Do We Stand in 2026?<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/blog\/digital-transformation-in-smes-a-guide-for-smes-in-the-dach-region\/\" style=\"color:#1a5276;text-decoration:none;font-size:0.95rem;\">\u2192 Digital Transformation in SMEs: A Guide for SMEs in the DACH Region<\/a>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>5 steps to your AI roadmap: From use case screening to rollout. A practical guide for decision-makers.<\/p>\n","protected":false},"author":1,"featured_media":28403,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[222],"tags":[],"class_list":["post-28355","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digitale-transformation"],"featured_image_src":"https:\/\/pointofnew.at\/wp-content\/uploads\/2026\/03\/featured-ki-strategie-en-1.png","author_info":{"display_name":"DI (FH) Benedikt Hasibeder","author_link":"https:\/\/pointofnew.at\/en\/blog\/author\/methodman\/"},"_links":{"self":[{"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts\/28355","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/comments?post=28355"}],"version-history":[{"count":3,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts\/28355\/revisions"}],"predecessor-version":[{"id":28628,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts\/28355\/revisions\/28628"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/media\/28403"}],"wp:attachment":[{"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/media?parent=28355"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/categories?post=28355"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/tags?post=28355"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}