{"id":28652,"date":"2026-04-03T10:57:11","date_gmt":"2026-04-03T08:57:11","guid":{"rendered":"https:\/\/pointofnew.at\/?p=28652"},"modified":"2026-04-03T12:14:11","modified_gmt":"2026-04-03T10:14:11","slug":"generative-ai-in-business-practical-applications-for-smes","status":"publish","type":"post","link":"https:\/\/pointofnew.at\/en\/blog\/generative-ai-in-business-practical-applications-for-smes\/","title":{"rendered":"Generative AI in Business: Practical Applications for SMEs"},"content":{"rendered":"<div style=\"background:#f0f1f3;padding:20px 24px;border-radius:12px;margin-bottom:32px;\">\n<h3 style=\"margin-top:0;color:#1a5276;\">Key Takeaways:<\/h3>\n<ul style=\"margin-bottom:0;\">\n<li>33% of companies use generative AI (Bitkom 2025), but only 8% have a strategic approach<\/li>\n<li>7 high-impact use cases: from content creation to knowledge management<\/li>\n<li>Only 5% of companies achieve measurable business value at scale<\/li>\n<li>EU AI Act comes into force in August 2026 &#8211; compliance is mandatory<\/li>\n<li>Agentic AI will account for 29% of AI value by 2028<\/li>\n<\/ul>\n<\/div>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Table of Contents<\/h3>\n<ol style=\"line-height:1.8;\">\n<li><a href=\"#section1\" style=\"color:#1a5276;text-decoration:none;\">Generative AI in SMEs: Where Do We Stand in 2026?<\/a><\/li>\n<li><a href=\"#section2\" style=\"color:#1a5276;text-decoration:none;\">7 Practical Use Cases for SMEs<\/a><\/li>\n<li><a href=\"#section3\" style=\"color:#1a5276;text-decoration:none;\">From Experiment to Business Value<\/a><\/li>\n<li><a href=\"#section4\" style=\"color:#1a5276;text-decoration:none;\">Risks and Pitfalls<\/a><\/li>\n<li><a href=\"#section5\" style=\"color:#1a5276;text-decoration:none;\">Agentic AI: The Next Leap<\/a><\/li>\n<\/ol>\n<h2 id=\"section1\" style=\"color:#1a5276;margin-top:32px;\">1. Generative AI in SMEs: Where Do We Stand in 2026?<\/h2>\n<p>The hype around generative AI has evolved into tangible business reality. According to a <a href=\"https:\/\/maximal.digital\/studie-ki-im-mittelstand-und-kmu-2025-einblicke-und-impulse-aus-der-ki-studie-2025\" style=\"color:#1a5276;text-decoration:none;\" target=\"_blank\" rel=\"noopener\">comprehensive study on AI adoption in German-speaking SMEs<\/a>, 33% of small and medium-sized enterprises are already using generative AI tools. However, the quality of implementation varies dramatically.<\/p>\n<p>The sobering truth: only 8% of SMEs have developed a strategic approach to generative AI. The vast majority (68%) operate without a clear strategy, experimenting with tools like ChatGPT, Midjourney, or Copilot without a structured framework. This &#8220;wild west&#8221; approach may deliver quick wins, but rarely translates into sustainable competitive advantage.<\/p>\n<p>The gap between experimentation and strategic value creation is the defining challenge for SMEs in 2026. <a href=\"https:\/\/pointofnew.at\/en\/glossary\/digital-transformation\/\" style=\"color:#1a5276;text-decoration:none;\">Digital transformation<\/a> isn&#8217;t just about adopting new technologies &#8211; it&#8217;s about integrating them into core business processes with clear objectives and measurable outcomes.<\/p>\n<p>What separates the strategic 8% from the rest? Three factors consistently emerge:<\/p>\n<ul>\n<li><strong>Clear use case definition:<\/strong> They know exactly which business problems AI should solve<\/li>\n<li><strong>Governance frameworks:<\/strong> Guidelines for data usage, quality standards, and compliance<\/li>\n<li><strong>Change management:<\/strong> Systematic training and cultural adaptation across the organization<\/li>\n<\/ul>\n<p>According to <a href=\"https:\/\/www.bitkom.org\/Presse\/Presseinformation\/Durchbruch-Kuenstliche-Intelligenz\" style=\"color:#1a5276;text-decoration:none;\" target=\"_blank\" rel=\"noopener\">Bitkom&#8217;s 2025 AI report<\/a>, German companies investing in AI literacy and structured implementation frameworks achieve 3.2x higher ROI compared to those using AI tools ad-hoc.<\/p>\n<h2 id=\"section2\" style=\"color:#1a5276;margin-top:32px;\">2. 7 Practical Use Cases for SMEs<\/h2>\n<p>Generative AI isn&#8217;t a single tool &#8211; it&#8217;s a technology platform with applications across virtually every business function. Here are seven high-impact use cases proven to deliver measurable value for SMEs:<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Content &#038; Marketing<\/h3>\n<p>From blog posts to social media content, email campaigns to product descriptions: generative AI dramatically accelerates content production. However, quality control remains essential. The most successful SMEs use AI for first drafts and research, while human experts handle refinement and brand alignment.<\/p>\n<p><strong>Real-world example:<\/strong> A B2B consulting firm reduced content production time by 60% while increasing monthly blog output from 4 to 15 articles, resulting in 120% organic traffic growth within six months.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Customer Service &#038; Support<\/h3>\n<p>AI-powered chatbots and virtual assistants handle routine inquiries 24\/7, freeing human agents for complex cases. Modern systems integrate with CRM platforms, maintain conversation context, and escalate seamlessly when needed.<\/p>\n<p><strong>Key metric:<\/strong> Average resolution time for Tier 1 inquiries drops from 4 hours to 3 minutes.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Data Analysis &#038; Business Intelligence<\/h3>\n<p>Generative AI transforms raw data into actionable insights. Natural language interfaces allow non-technical staff to query databases, generate reports, and identify patterns without SQL knowledge.<\/p>\n<p>Tools like Microsoft Copilot for Excel or specialized AI analytics platforms enable sales teams to analyze customer behavior, finance departments to spot anomalies, and operations to optimize processes &#8211; without dedicated data scientists.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Product Development<\/h3>\n<p>From ideation to prototyping: AI accelerates innovation cycles. Generative models help visualize product concepts, generate technical specifications, identify potential design flaws, and even simulate user feedback.<\/p>\n<p>Manufacturing SMEs use AI to optimize CAD designs, simulate stress tests, and generate manufacturing instructions. Service companies leverage AI for workshop concepts, service blueprints, and customer journey mapping.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">HR &#038; Talent Management<\/h3>\n<p>Recruitment, onboarding, training: AI streamlines the entire employee lifecycle. Automated CV screening reduces hiring time by 40-60%, while personalized learning paths improve training effectiveness.<\/p>\n<p><strong>Critical consideration:<\/strong> Bias in AI hiring tools is a real concern. The EU AI Act (effective August 2026) classifies hiring AI as high-risk, requiring transparency and regular auditing.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Finance &#038; Administration<\/h3>\n<p>Invoice processing, expense management, financial forecasting: AI automates tedious administrative tasks. Intelligent document processing extracts data from invoices, receipts, and contracts with 95%+ accuracy.<\/p>\n<p>CFOs report that AI-powered financial planning tools improve forecast accuracy by 20-30% while reducing preparation time from days to hours.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Knowledge Management<\/h3>\n<p>Every SME accumulates tribal knowledge in emails, documents, and employee expertise. AI-powered knowledge bases make this information searchable and accessible. Employees get instant answers to questions about processes, policies, or past projects.<\/p>\n<p><strong>Retention benefit:<\/strong> When key employees leave, institutional knowledge remains accessible rather than walking out the door.<\/p>\n<h2 id=\"section3\" style=\"color:#1a5276;margin-top:32px;\">3. From Experiment to Business Value<\/h2>\n<p>Here&#8217;s the uncomfortable truth: according to <a href=\"https:\/\/www.bcg.com\/publications\/2025\/closing-the-ai-impact-gap\" style=\"color:#1a5276;text-decoration:none;\" target=\"_blank\" rel=\"noopener\">BCG&#8217;s 2025 AI Impact Report<\/a>, only 5% of companies achieve measurable business value from AI at scale. The other 95% remain stuck in pilot purgatory or achieve isolated wins that don&#8217;t move the needle.<\/p>\n<p>What separates the successful 5% from the rest? A systematic approach to scaling AI from experiment to enterprise value.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">The 4-Step Implementation Framework<\/h3>\n<p><strong>Step 1: Strategic Prioritization<\/strong><br \/>\nDon&#8217;t try to AI-enable everything at once. Start with the intersection of high business impact and technical feasibility. Develop a clear <a href=\"\/en\/glossary\/ai-strategy\/\" style=\"color:#1a5276;text-decoration:none;\">AI strategy<\/a> aligned with overall business objectives.<\/p>\n<p>Ask yourself: Which process, if improved by 50%, would have the greatest impact on revenue or cost? That&#8217;s your pilot candidate.<\/p>\n<p><strong>Step 2: Proof of Concept (4-8 weeks)<\/strong><br \/>\nBuild a minimal viable implementation with clear success metrics. This isn&#8217;t about perfection &#8211; it&#8217;s about proving viability and identifying blockers early.<\/p>\n<p>Define success numerically: &#8220;Reduce customer inquiry response time from 4 hours to 30 minutes with 85% accuracy&#8221; beats &#8220;improve customer service.&#8221;<\/p>\n<p><strong>Step 3: Pilot Scaling (3-6 months)<\/strong><br \/>\nExpand from POC to production with real users, integrated systems, and full workflow integration. This is where most initiatives fail &#8211; not due to technical issues, but because of inadequate <a href=\"https:\/\/pointofnew.at\/en\/glossary\/change-management\/\" style=\"color:#1a5276;text-decoration:none;\">change management<\/a>.<\/p>\n<p>Invest heavily in training, feedback loops, and process refinement. The technology is the easy part; organizational adoption is the challenge.<\/p>\n<p><strong>Step 4: Enterprise Scaling<\/strong><br \/>\nRoll out across departments, geographies, or use cases. Establish centers of excellence, standardize tooling, and build reusable frameworks.<\/p>\n<p>Companies that successfully scale AI create internal platforms and governance structures rather than point solutions. They build capabilities, not just applications.<\/p>\n<h2 id=\"section4\" style=\"color:#1a5276;margin-top:32px;\">4. Risks and Pitfalls<\/h2>\n<p>Generative AI isn&#8217;t risk-free. Four critical challenges demand attention:<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Shadow AI<\/h3>\n<p>Employees using ChatGPT, Claude, or other tools without IT oversight is the new shadow IT. Sensitive data flows to third-party platforms, creating compliance nightmares and security vulnerabilities.<\/p>\n<p><strong>Solution:<\/strong> Don&#8217;t ban AI tools &#8211; provide approved alternatives with proper governance. Establish clear guidelines on what data can and cannot be processed by external AI systems.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Data Quality<\/h3>\n<p>AI output quality depends entirely on input quality. &#8220;Garbage in, garbage out&#8221; has never been more true. Companies with fragmented, outdated, or inconsistent data achieve limited AI value.<\/p>\n<p>Before scaling AI, invest in data infrastructure: standardized formats, quality controls, and proper documentation. <a href=\"\/en\/glossary\/sme-digitalization\/\" style=\"color:#1a5276;text-decoration:none;\">SME digitalization<\/a> often starts with getting the basics right.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">EU AI Act Compliance<\/h3>\n<p>The EU AI Act enters into force in August 2026, introducing mandatory requirements for high-risk AI systems. Applications in recruitment, credit scoring, law enforcement, and critical infrastructure face strict transparency, documentation, and testing requirements.<\/p>\n<p>Non-compliance carries fines up to \u20ac35 million or 7% of global revenue. SMEs must assess which of their AI use cases fall under regulation and implement appropriate governance frameworks.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Privacy &#038; Confidentiality<\/h3>\n<p>Training AI models on customer data, employee information, or proprietary business intelligence creates privacy risks. GDPR compliance isn&#8217;t optional &#8211; it&#8217;s mandatory.<\/p>\n<p>Best practice: Use anonymized data for AI training, implement strict access controls, and maintain detailed audit logs of AI system decisions.<\/p>\n<div style=\"background:#f8f9fa;padding:16px 24px;border-left:4px solid #1a5276;border-radius:0 8px 8px 0;margin:24px 0;\">\n<p style=\"margin:0;\"><strong>Risk Mitigation Checklist:<\/strong><\/p>\n<ul style=\"margin-bottom:0;\">\n<li>\u2713 AI usage guidelines documented and communicated<\/li>\n<li>\u2713 Data governance framework in place<\/li>\n<li>\u2713 Regular AI system audits scheduled<\/li>\n<li>\u2713 EU AI Act compliance assessment completed<\/li>\n<li>\u2713 Privacy impact assessment for high-risk applications<\/li>\n<\/ul>\n<\/div>\n<h2 id=\"section5\" style=\"color:#1a5276;margin-top:32px;\">5. Agentic AI: The Next Leap<\/h2>\n<p>While most SMEs are still mastering basic generative AI applications, the next wave is already emerging: agentic AI systems that don&#8217;t just respond to prompts, but autonomously execute multi-step workflows.<\/p>\n<p>According to <a href=\"https:\/\/www.bcg.com\/publications\/2025\/closing-the-ai-impact-gap\" style=\"color:#1a5276;text-decoration:none;\" target=\"_blank\" rel=\"noopener\">BCG&#8217;s research<\/a>, agentic AI currently represents 17% of total AI-generated business value &#8211; but this is projected to rise to 29% by 2028.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">What Makes AI &#8220;Agentic&#8221;?<\/h3>\n<p>Traditional AI tools require human prompts for every action. Agentic AI systems operate with greater autonomy:<\/p>\n<ul>\n<li><strong>Goal-oriented behavior:<\/strong> You define the objective, the AI determines the steps<\/li>\n<li><strong>Multi-step reasoning:<\/strong> Complex workflows executed without human intervention<\/li>\n<li><strong>Tool usage:<\/strong> AI agents access databases, APIs, and software systems independently<\/li>\n<li><strong>Adaptive learning:<\/strong> Systems improve through experience and feedback<\/li>\n<\/ul>\n<h3 style=\"color:#1a5276;margin-top:24px;\">Practical Applications for SMEs<\/h3>\n<p><strong>Autonomous customer onboarding:<\/strong> AI agents guide new customers through setup, documentation, and first transactions &#8211; escalating to humans only when necessary.<\/p>\n<p><strong>Intelligent sales assistants:<\/strong> Research prospects, draft personalized outreach, schedule meetings, and update CRM systems autonomously.<\/p>\n<p><strong>Supply chain optimization:<\/strong> Monitor inventory levels, predict demand fluctuations, trigger reorders, and negotiate with suppliers within predefined parameters.<\/p>\n<p><strong>Financial operations:<\/strong> Reconcile accounts, identify discrepancies, generate reports, and flag unusual transactions for human review.<\/p>\n<h3 style=\"color:#1a5276;margin-top:24px;\">When to Consider Agentic AI<\/h3>\n<p>Agentic systems deliver maximum value in scenarios with:<\/p>\n<ul>\n<li>High-volume, repetitive workflows with clear success criteria<\/li>\n<li>Multiple data sources requiring integration and cross-referencing<\/li>\n<li>Time-sensitive processes where human bottlenecks create delays<\/li>\n<li>Predictable exceptions that can be codified into decision rules<\/li>\n<\/ul>\n<p>However, don&#8217;t jump to agentic AI if you haven&#8217;t mastered basic automation. Organizations that successfully deploy autonomous agents typically have mature data infrastructure, clear process documentation, and strong AI governance frameworks.<\/p>\n<p><a href=\"https:\/\/www.pwc.com\/us\/en\/tech-effect\/ai-analytics\/ai-predictions.html\" style=\"color:#1a5276;text-decoration:none;\" target=\"_blank\" rel=\"noopener\">PwC&#8217;s AI predictions<\/a> suggest that by 2028, 40% of enterprise workflows will include some form of agentic AI &#8211; making early experimentation a strategic advantage for forward-thinking SMEs.<\/p>\n<div style=\"background:#f8f9fa;padding:16px 24px;border-left:4px solid #1a5276;border-radius:0 8px 8px 0;margin:24px 0;\">\n<h3 style=\"color:#1a5276;margin-top:0;\">Practice: Your AI Readiness Assessment<\/h3>\n<p><strong>Rate your organization (1-5) on each dimension:<\/strong><\/p>\n<ul>\n<li>We have clear documentation of core business processes<\/li>\n<li>Our data is centralized, standardized, and accessible<\/li>\n<li>Employees receive regular training on new technologies<\/li>\n<li>We have established KPIs for operational efficiency<\/li>\n<li>Leadership actively supports digital innovation initiatives<\/li>\n<\/ul>\n<p><strong>Score interpretation:<\/strong><br \/>\n20-25: Ready for strategic AI implementation<br \/>\n15-19: Good foundation, focus on governance frameworks<br \/>\n10-14: Build data infrastructure before scaling AI<br \/>\nBelow 10: Start with <a href=\"https:\/\/pointofnew.at\/en\/glossary\/digital-transformation\/\" style=\"color:#1a5276;text-decoration:none;\">digital transformation<\/a> fundamentals<\/p>\n<\/div>\n<h3 style=\"color:#1a5276;margin-top:32px;\">Frequently Asked Questions<\/h3>\n<p><strong>How much does implementing generative AI cost for SMEs?<\/strong><br \/>\nEntry-level implementation starts at \u20ac500-2,000\/month for SaaS tools (ChatGPT Team, Microsoft Copilot). Custom solutions range from \u20ac10,000-50,000 for initial development, plus ongoing operational costs. Most SMEs achieve positive ROI within 6-12 months when focusing on high-impact use cases.<\/p>\n<p><strong>Do we need specialized AI expertise in-house?<\/strong><br \/>\nNot initially. Many successful implementations start with external consultants or managed services. However, building internal AI literacy across the organization is essential for long-term success. Invest in training, not just tools.<\/p>\n<p><strong>How do we measure AI ROI?<\/strong><br \/>\nDefine metrics before implementation: time saved (hours per week), cost reduction (\u20ac per month), revenue increase (conversion rate improvement), or quality improvements (error rate reduction). Avoid vanity metrics like &#8220;number of AI tools deployed&#8221; &#8211; focus on business outcomes.<\/p>\n<p><strong>What about job displacement?<\/strong><br \/>\nCurrent evidence shows AI augments rather than replaces knowledge workers. Roles evolve: content creators become content strategists, customer service agents handle complex cases, analysts focus on interpretation rather than data gathering. Proactive reskilling and <a href=\"https:\/\/pointofnew.at\/en\/glossary\/change-management\/\" style=\"color:#1a5276;text-decoration:none;\">change management<\/a> are essential.<\/p>\n<p><strong>How do we stay compliant with the EU AI Act?<\/strong><br \/>\nStart with a use case inventory: which AI applications do you operate? Classify them by risk level (minimal, limited, high, unacceptable). High-risk systems require documentation, testing, and ongoing monitoring. Consider engaging legal counsel specializing in AI regulation, especially if you operate in regulated industries.<\/p>\n<div style=\"background:linear-gradient(135deg,#1a5276,#2e86c1);border-radius:12px;color:#fff;text-align:center;padding:40px 24px;margin:48px 0;\">\n<h3 style=\"color:#fff;margin-top:0;\">Ready to Develop Your AI Strategy?<\/h3>\n<p style=\"font-size:18px;margin-bottom:24px;\">We help SMEs transform AI experiments into competitive advantage. From strategy development to implementation support.<\/p>\n<p><a href=\"https:\/\/pointofnew.at\/en\/contact\/\" style=\"display:inline-block;background:#fff;color:#1a5276;padding:14px 32px;border-radius:8px;text-decoration:none;font-weight:600;margin-top:8px;\">Schedule a Consultation<\/a>\n<\/div>\n<h3 style=\"color:#1a5276;margin-top:32px;\">Related Terms<\/h3>\n<div style=\"display:flex;flex-wrap:wrap;gap:8px;margin:16px 0;\">\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/digital-transformation\/\" style=\"display:inline-block;background:#f0f1f3;color:#1a5276;padding:8px 16px;border-radius:20px;text-decoration:none;font-size:14px;\">Digital Transformation<\/a><br \/>\n<a href=\"\/en\/glossary\/ai-strategy\/\" style=\"display:inline-block;background:#f0f1f3;color:#1a5276;padding:8px 16px;border-radius:20px;text-decoration:none;font-size:14px;\">AI Strategy<\/a><br \/>\n<a href=\"\/en\/glossary\/ai-driven-business-models\/\" style=\"display:inline-block;background:#f0f1f3;color:#1a5276;padding:8px 16px;border-radius:20px;text-decoration:none;font-size:14px;\">AI-Driven Business Models<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/digital-maturity\/\" style=\"display:inline-block;background:#f0f1f3;color:#1a5276;padding:8px 16px;border-radius:20px;text-decoration:none;font-size:14px;\">Digital Maturity<\/a><br \/>\n<a href=\"\/en\/glossary\/sme-digitalization\/\" style=\"display:inline-block;background:#f0f1f3;color:#1a5276;padding:8px 16px;border-radius:20px;text-decoration:none;font-size:14px;\">SME Digitalization<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/innovation-process\/\" style=\"display:inline-block;background:#f0f1f3;color:#1a5276;padding:8px 16px;border-radius:20px;text-decoration:none;font-size:14px;\">Innovation Process<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/change-management\/\" style=\"display:inline-block;background:#f0f1f3;color:#1a5276;padding:8px 16px;border-radius:20px;text-decoration:none;font-size:14px;\">Change Management<\/a>\n<\/div>\n<h3 style=\"color:#1a5276;margin-top:32px;\">Further Reading<\/h3>\n<ul style=\"line-height:2;\">\n<li>\u2192 <a href=\"https:\/\/pointofnew.at\/en\/blog\/ai-strategy-for-enterprises-5-step-roadmap-to-success\/\" style=\"color:#1a5276;text-decoration:none;\">AI Strategy for Business: 5 Steps to Your Roadmap<\/a><\/li>\n<li>\u2192 <a href=\"https:\/\/pointofnew.at\/en\/blog\/digital-transformation-sme-2026\/\" style=\"color:#1a5276;text-decoration:none;\">Digital Transformation in SMEs: Where Do We Stand in 2026?<\/a><\/li>\n<li>\u2192 <a href=\"https:\/\/pointofnew.at\/en\/blog\/innovation-framework-7-dimensions-systematic-innovation-smes\/\" style=\"color:#1a5276;text-decoration:none;\">Innovation Framework: 7 Dimensions for Systematic Innovation in SMEs<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Key Takeaways: 33% of companies use generative AI (Bitkom 2025), but only 8% have a strategic approach 7 high-impact use cases: from content creation to knowledge management Only 5% of&hellip;<\/p>\n","protected":false},"author":1,"featured_media":28654,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[222],"tags":[],"class_list":["post-28652","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digitale-transformation"],"featured_image_src":"https:\/\/pointofnew.at\/wp-content\/uploads\/2026\/04\/featured-generative-ai-en.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\/28652","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=28652"}],"version-history":[{"count":2,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts\/28652\/revisions"}],"predecessor-version":[{"id":28658,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts\/28652\/revisions\/28658"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/media\/28654"}],"wp:attachment":[{"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/media?parent=28652"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/categories?post=28652"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/tags?post=28652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}