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When Is the Right Time to Transform Your Business? Embracing Process Innovation and AI In today’s fast-paced market, businesses must evolve to stay competitive. Process transformation is critical, but when should you implement it, and how can AI contribute? Recognising the Need for Change - Operational Inefficiencies: Bottlenecks or redundant tasks signal it’s time for improvement. - Market Shifts: Adapting to new competitors or changing consumer behaviour is crucial. - Outdated Tech: Legacy systems could be holding you back—new tech can streamline operations. - Team Insights: Employee feedback often highlights areas for improvement. Benefits of Process Transformation - Efficiency Gains: Streamlined workflows save time and resources. - Better Customer Experience: Faster, more reliable processes boost satisfaction. - Cost Savings: Cutting unnecessary steps lowers expenses. - Greater Agility: Flexible processes help you react quickly to market changes. AI’s Role in Transformation Don’t underestimate AI’s potential: - Data-Driven Decisions: AI offers powerful insights. - Automation: Free up teams for higher-value tasks. - Personalisation: AI enables deeper customer engagement. - Competitive Edge: Early AI adoption can set you apart. When to Act - Strategic Alignment: Ensure transformation fits your business goals. - Resource Availability: Have the right tools and talent in place. - Cultural Readiness: Foster an innovation-friendly mindset. - Incremental Approach: Roll out changes gradually to minimise disruption. Final Thoughts Transform when change is crucial to success. AI shouldn’t dominate your strategy, but ignoring it risks missed opportunities. Is your business ready to embrace process transformation and AI’s advantages? Feel free to comment or reach out to discuss your own transformation journey! #BusinessTransformation #AI #Innovation #ProcessImprovement #Leadership

Process Intelligence is transforming IT, helping leaders optimize processes, cut costs, and unlock the full potential of digital transformation. 💻 IT Complexity is Growing: With system transformations, complex tech stacks, shrinking budgets, and pressure to integrate AI, IT leaders are under constant pressure to adapt and perform. 🛠️ Process Optimization is Key: 83% of IT leaders believe processes are the lifeblood of their organization, with 100% emphasizing the importance of optimizing these processes to meet objectives. 🔍 Uncover Hidden Value: Process Intelligence gives real-time insights into how processes work, helping to reduce inefficiencies and identify areas for cost savings and innovation. 📉 Reduce IT Costs: By optimizing software spend and automating inefficient processes, enterprises have saved millions, with some cutting IT ticket resolution times by up to 72%. 🌐 Leverage AI Effectively: AI tools can only deliver value when provided with accurate, context-rich process data—Process Intelligence ensures IT departments feed AI the data needed to succeed. #ITTransformation #ProcessIntelligence #DigitalOptimization 💡 Enterprises using Process Intelligence have seen results like an 80% reduction in returns cycle times and $8.7 million in additional economic value from optimized inventory management. 🤖 Want to accelerate business initiatives? Process Intelligence allows for smoother migrations, reduced IT service costs, and better collaboration across departments. 🌍 IT teams at major companies like Siemens, BMW, and Reckitt are leading transformation through Centers of Excellence powered by Process Intelligence. ♻️ Repost if you enjoyed this post and follow me, César Beltrán Miralles, for more curated content about telecom!

𝐓𝐡𝐞 𝐬𝐮𝐜𝐜𝐞𝐬𝐬 𝐨𝐟 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐥𝐢𝐞𝐬 𝐧𝐨𝐭 𝐢𝐧 𝐢𝐭𝐬 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐛𝐮𝐭 𝐢𝐧 𝐢𝐭𝐬 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 In the race to implement AI and digital solutions, one crucial element often gets overlooked—change management. Organizations tend to focus on the technology itself, talking about AI, automation, and predictive analytics. But what happens to the people using these systems? The truth is, the most advanced solution can fail if the end users are not equipped, empowered, and on-boarded properly. 𝐴𝑟𝑜𝑢𝑛𝑑 20% 𝑜𝑓 𝑎 𝑡𝑟𝑎𝑛𝑠𝑓𝑜𝑟𝑚𝑎𝑡𝑖𝑜𝑛’𝑠 𝑣𝑎𝑙𝑢𝑒 𝑖𝑠 𝑙𝑜𝑠𝑡 𝑎𝑓𝑡𝑒𝑟 𝑡𝑒𝑐ℎ𝑛𝑖𝑐𝑎𝑙 𝑖𝑚𝑝𝑙𝑒𝑚𝑒𝑛𝑡𝑎𝑡𝑖𝑜𝑛 𝑎𝑛𝑑 𝑡ℎ𝑎𝑡 𝑐ℎ𝑎𝑛𝑔𝑒 𝑝𝑟𝑜𝑔𝑟𝑎𝑚𝑠 𝑜𝑓𝑡𝑒𝑛 𝑓𝑎𝑖𝑙 𝑑𝑢𝑒 𝑡𝑜 𝑒𝑚𝑝𝑙𝑜𝑦𝑒𝑒 𝑟𝑒𝑠𝑖𝑠𝑡𝑎𝑛𝑐𝑒.* Here’s why proper change management is critical: 𝟏) 𝐔𝐬𝐞𝐫 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧: Without proper training and onboarding, even the most sophisticated AI tools can feel overwhelming or disconnected from daily operations. 𝟐) 𝐂𝐮𝐥𝐭𝐮𝐫𝐚𝐥 𝐀𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭: Digital transformation requires more than new systems—it demands a shift in how teams work, think, and collaborate. 𝟑) 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐒𝐮𝐜𝐜𝐞𝐬𝐬: A well-executed change management strategy ensures that new processes stick and continue delivering value. As professionals in digital supply chain transformations, we need to balance technology implementation with investments in training, communication, and support systems. Because at the end of the day, it’s not the system but the people who drive transformation. Let’s stop saying “Technology will fix it” and start saying, “Let’s prepare our teams to leverage technology effectively.” #digitaltransformation #ai #changemanagement #supplychainmanagement

As an AI Innovator, I often emphasize the critical role that process alignment plays in driving organizational success. In today's fast-paced, data-driven world, aligning processes across teams not only enhances efficiency but also fosters innovation. Why Process Alignment Matters: Increased Efficiency: Streamlined processes reduce redundancies and enable teams to focus on high-value tasks. Enhanced Collaboration: When everyone is on the same page, cross-functional teams can work seamlessly towards common goals. Improved Decision-Making: Consistent processes allow for clearer data interpretation, leading to more informed and timely decisions. Scalability: A well-aligned process framework can easily adapt as your organization grows, ensuring that changes are manageable and effective. Tips for Achieving Process Alignment: Engage Stakeholders: Involve team members from different departments to gather diverse insights and foster buy-in. Leverage Technology: Use AI and automation tools to streamline processes and eliminate bottlenecks. Regular Reviews: Continuously assess and refine processes to adapt to evolving business needs. I haven't perfected this process, but have positive intentions in finding the best solution that will find mutual cross-functional benefits. What are your thoughts on process alignment in your organization? Let’s discuss it! #AI #ProcessAlignment #BusinessStrategy #Innovation #Collaboration

📈📊Business Transformation: Navigating Challenges and Embracing the Future with AI 1. Why Business Transformation Matters: - Amplified Performance: Business transformation isn't just about incremental improvements; it's about achieving breakthroughs. Successful transformations, deliver fast results and fundamentally change how businesses operate. Imagine your company's performance skyrocketing as you optimize processes, enhance efficiency, and create a sustainable competitive advantage. - Competitive Edge: Business transformation isn’t a luxury; it’s a necessity. It’s the difference between thriving and fading away. Strategic investments in consulting revolutionize how businesses strategize and operate, leading to sustainable success. 2. Challenges in Business Transformation: - Resistance to Change: Employees and stakeholders may resist transformation due to fear of the unknown or attachment to existing processes. Overcoming this challenge requires effective communication, transparency, and involving key players from the outset. - Legacy Systems and Processes: Outdated technology and legacy processes can hinder transformation efforts. Consultants emphasize the need to assess and modernize systems while ensuring seamless integration. 3. Overcoming Challenges: - Leadership Alignment: Engage top leadership early on. Their commitment and vision are crucial. Create a transformation office with cross-functional representation to drive alignment. - Change Management: This requires emphasis on stakeholder engagement, communication, and training. A robust change management plan ensures smooth adoption. - Data-Driven Insights and Digital Transformation: Leverage data analytics to inform decisions. Data-driven insights guide transformation initiatives toward success. It’s not about adopting every shiny tool but rather aligning tech with your strategic goals 4. The Future of Business Transformation with AI: - Intelligent Automation: AI-powered solutions are revolutionizing processes. From predictive analytics to robotic process automation (RPA), organizations can harness AI for efficiency gains. - Personalization: AI can tailor transformation strategies based on individual business needs. Customized roadmaps will replace one-size-fits-all approaches. - Agile Adaptation: AI can enable real-time adjustments. Organizations can respond swiftly to market shifts, ensuring resilience. - Ethical Considerations: As AI evolves, ethical frameworks will be critical. The focus should be on a responsible AI adoption. Remember, business transformation isn't a destination; it's an ongoing journey. With AI as our co-pilot, we're charting a course toward a more agile, data-driven, and sustainable future. #BusinessTransformation #AIInnovation #FutureOfWork #GenAI #Transformation #ArtificialIntelligence

AI enables businesses to shift decision-making to the front lines, bypassing traditional managerial filters, which enhances creativity and problem-solving. Traditional companies must rethink their structures rather than just making incremental changes to compete with more dynamic entities. Takeaways: - Reduce layers to speed up decision-making and improve responsiveness. - Transparent Information accessible to all authorized decision-makers without the need for managerial approval unleashes creative potential. - Diversify performance metrics to ensure accountability. - Clear communication of the context in which decisions are made is crucial. - Multifunctional Teams to foster innovation and adaptability. Where do you think you stand?

AI products, culture change, and transformation only take hold if you meet the business and customers where they are, not where you think they should be. My secret to data and AI success for eight years is… I start every new client onboarding and fractional CAIO engagement with a framework called ‘Meet the Business Where It Is.’ Every business is different, and every AI transformation journey will be, too. I assess the business's current state but, more importantly, how it got there. History, context, and necessity are critical to ground transformation in reality. I take the approach of empathy towards continuous improvement. Businesses that consistently improve are always fixing, which means they are never perfect. The starting point, no matter how dysfunctional, is just the baseline. The goal is to leverage technology to improve that baseline every quarter. Business strategy dictates opportunities, and opportunities dictate transformation. “Transform or else” doesn’t work. AI transformation must be justified upfront with near- and long-term returns. Frameworks assess the business, discover opportunities, support culture change, and accelerate improvement cycles, but they must flex to meet the business where it is. We can’t pretend there won’t be roadblocks. I have over 80 frameworks because transformation doesn’t care about your playbook. AI strategy must inform decision-making across the business, not just in the data team. Frontline leaders best understand their team and customers' needs. Empowerment is control and authority. Distributing both across the business requires a single decision-making framework to ensure alignment rather than chaos. My book details ‘Meet the Business Where It Is’ and more frameworks for AI transformation, strategy, culture change, innovation, and products. My courses certify people on those frameworks and teach them how to flex frameworks to meet different business realities. Click the link under my name to learn more. #AIStrategy #Transformation #DataStrategy #Innovation

It was a pleasure to join ADAPT, Software AG together with various industry CIOs at a round table last week to discuss “Revolutionising Productivity and Operational Agility through Process Optimisation”. As Boards increasingly ask their C-Suite how they are utilising AI and other emerging technologies to drive the business forward, we cannot forget the importance of ensuring business processes are optimised before we seek to automate them to truly realise return on investment. Moreover, data sets need to be aligned to processes with the appropriate governance to ensure the business is provided with accurate  insights as we leverage AI technologies. Toughest question of the day? “I had one exec that killed our transformation program because he wasn’t onboard. How do you get people onboard with your transformation?” Transformation is all about humans. Would you launch a new business, a new product, a new service without understanding your target audience? Who is consuming your transformation? What are their fears? Their beliefs? How will your transformation program impact them? Humans are at the heart of your transformation program. Know their desires, vision and their fears, and plan accordingly. Want to know more about process excellence and how it can drive operational excellence? Audrey Corish leads our process transformation practice and is ready to share her insights. You can reach her at audrey@evolvere.au

Digital transformation isn’t just digitization! Too many organizations think digital transformation means taking a broken, outdated process and putting it online. That’s not transformation, it’s just moving the problem around. If the process didn’t work on paper, it’s not going to magically work better with an app or software. Real transformation means rethinking how things get done. Here’s the thing: digitizing bad processes can actually make things worse. On paper, there’s often room to make manual adjustments or bypass the system to do what’s needed. But once a flawed process is automated, those inefficiencies become locked in. Now, instead of a workaround, you’ve got a rigid system that creates even bigger headaches! So, where do organizations stumble? - Focusing on tools instead of outcomes. It’s not about how flashy or advanced the software is if the process it supports is fundamentally broken. - Not questioning outdated workflows. Just because something’s always been done a certain way doesn’t mean it should be. - Confusing busywork with progress. Digitizing a hundred processes doesn’t matter if none of them actually make your organization smarter or more efficient. Digital transformation should force us to ask hard questions: Why does this process exist? Does it still serve a purpose? Can technology help us improve, replace, or even eliminate it entirely? Let’s stop trying to dress up outdated systems with new tech. Instead, let’s shift the focus from digitizing the old to designing for the future. #digitaltransformation #dx #technology #ai #genai #processinnovation #businessstrategy Jeff Winter

💡 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐚𝐧 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐀𝐈-𝐫𝐞𝐚𝐝𝐲? 🤖 Digitalization is no longer an option, but a necessity for survival and competitiveness. Companies that successfully implement digital transformations can optimize their processes, improve customer experiences, and create new business models. But what makes an organization AI-ready? We consider six organizational factors: 🔭 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Clear vision and roadmap for AI integration aligned with business goals  ⚙️ 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Agile organizational structures that can quickly adapt to changes and integrate AI solutions  ⚖️ 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: Strong governance frameworks to oversee AI use case management, ensure compliance, ethical use, and effective implementation  🦠 𝐂𝐮𝐥𝐭𝐮𝐫𝐞: A culture that embraces change, innovation, and data-driven decision-making  🤖 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲: The right technology stack, including data infrastructure and platforms, necessary for supporting AI initiatives  ⏩ 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬: Well-defined processes for AI use case development, including business case collection, data collection, analysis, model development, and continuous improvement. Want to know more details? Contact us! #AIreadiness #organizationaldevelopment #datadriven