Kevin Woodson’s Post

Rethinking Success: The AI-Centric Architecture for the Future of Business   AI is supposed to change business as we know it, but without a clear strategy, it risks being sidelined or becoming a black hole of misunderstood technology. To realize AI’s true potential, organizations need more than just new ‘AI-enhanced’ tools—they need an AI-centric architecture that delivers value across the entire business.   By ingesting and integrating real-time insights, rethinking workflows, and enhancing execution excellence, this architecture—what we call The Big Brain—places AI at the core of business operations, enabling teams to work smarter, more effectively, and in sync with the needs of their stakeholders. The most important being their customers!   Revenue Growth Associates believes businesses must look beyond outdated frameworks and legacy operating models and embrace the modern architectures that will enable them to succeed in the future. We focus on optimizing the revenue-generating functions within businesses, leveraging AI to deliver immediate value while also creating a long-term strategy for sustainable growth.   Interested in diving deeper into the AI-centric architecture? Read the full article here: https://lnkd.in/g6ySuE4C   Visual representation by Kevin Woodson, Revenue Growth Associates’ Visual Strategist. Our visual approach helps communicate complex concepts with clarity, making it easier for leaders to see the path forward.   #AI #Sales #RevenueGrowth #SalesExcellence #BigBrain #AIDriven #BusinessStrategy

Rethinking Success: The AI-Centric Architecture for Business Growth In today’s fast-evolving business landscape, AI has the potential to revolutionize how organizations operate, but without a clear strategy, it risks being underutilized. To truly capitalize on AI’s capabilities, businesses need an AI-centric architecture that integrates real-time insights, streamlines workflows, and drives execution excellence. #AI #BusinessTransformation #SalesExecution #RevenueGrowth https://lnkd.in/eS28JMZY

🎯 Business Leaders: Want to make AI work for you in 2025? Start here. The key to successful AI implementation isn't just picking the right tools - it's knowing your information landscape inside and out. Here's why starting with information architecture today will set you up for AI success tomorrow: Think of information architecture as your business's digital blueprint. Without it, implementing AI is like building a smart home on a shaky foundation. You need to know what data you have, where it lives, and how it flows through your organization. 🔑 One task to start today: Map your core business processes and the data that powers them. Example: Take your customer service workflow. What information do your teams use daily? Where is it stored? How does it move between systems? This simple exercise will reveal opportunities and gaps you never knew existed. The businesses that thrive with AI in 2025 won't be the ones who jumped in blindly. They'll be the ones who took the time to understand their information landscape first. What projects do you have planned for 2025? Comment below! #AIStrategy #Innovation #DigitalTransformation #InformationArchitecture #Technology

Nice tips on AI adoption. I started with using MS Copilot as a low barrier way to use ChatGPT

𝐓𝐎𝐏 3 𝐀𝐈 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 I got asked by Business & IT Leaders: 1) How to start? 2) Successful use cases? 3) Key considerations? 1. JUMPSTART YOUR AI JOURNEY: Aim big, start 𝘴𝘮𝘢𝘭𝘭 and 𝘴𝘮𝘢𝘳𝘵 with a value-driven genAI pilot. Gartner's article "How to Pilot Generative AI" outlines steps for maximizing business value: 💡 𝐈𝐝𝐞𝐚𝐭𝐞: Engage both business & IT to explore strategic genAI opportunities. 💡 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬: Evaluate pilot projects offering high business value with feasible implementation. 💡 𝐁𝐮𝐢𝐥𝐝 𝐚 𝐃𝐢𝐯𝐞𝐫𝐬𝐞 𝐓𝐞𝐚𝐦: Assemble a small group of business partners, software developers, and AI experts. 💡 𝐂𝐫𝐞𝐚𝐭𝐞 𝐚𝐧 𝐌𝐕𝐏: Develop a minimum viable product for rapid testing, defining KPIs and risk mitigation. 💡 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐌𝐢𝐧𝐢𝐦𝐮𝐦 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥𝐢𝐭𝐲: Focus on core functionality, learning from early tests to optimize cost and scalability. 𝐃𝐨𝐧'𝐭 𝐨𝐯𝐞𝐫𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫. Experience reveals that picking a practical AI Quick-Win pilot sets the stage for future success. Evaluate potential pilots on a “Business Value vs. Effort” quadrant. Choose one with mid-range value and low effort. The rest is planning, execution and review. Start small and smart, then scale up. Insights on questions 2 and 3 coming soon. Feel free to DM me for a deeper dive. #DigitalTransformation #AI #QuickWin #MVP

🚀 Data Agents and Execution Agents! 🤖 In the rapidly evolving world of AI, Agentic Architecture is transforming how we approach automation and decision-making. Two key players in this architecture? Data Agents and Execution Agents 💡👇 🔍 Data Agent: The “brain” behind the scenes, responsible for gathering, processing, and analyzing data. It ensures we have the right insights to fuel decisions! From data cleaning 🧹 to real-time monitoring 🕒, the Data Agent prepares the way for intelligent action. ⚡ Execution Agent: The “action-taker” 🏃♂️ of the operation! Based on insights from the Data Agent, it autonomously makes decisions and triggers actions. Think scaling systems, launching campaigns, or automating workflows — all without human intervention. 🤯 🔗 How They Work Together: 📍 Data Agent gathers and processes data. 📊 📍 Execution Agent decides on the next move and takes action. 💥 📍 Continuous feedback loops make the system smarter over time. 🔄 ✨ This modular and scalable approach is what makes Generative AI so powerful in real-world applications! Whether you’re improving customer experiences or automating workflows, this dynamic duo is the future of AI-powered systems. 🌐 #GenerativeAI #ArtificialIntelligence #AIProductManagement #AIInnovation #FutureOfTech #AITransformation #DataProductManagement #AIProducts #ProductManagement #TPM #AgenticSystem #DataProducts #AIProducts

Gartner’s survey found that organizations that clearly prioritize artificial intelligence use cases and match them to business outcomes bring the most value out of their AI investments. The crucial query remains: how can one methodically identify these use cases and value prospects? Enterprise Architecture (EA) offers discipline and structure through deliverables such as business capability models and business outcome statements that quantify the opportunities, business outcomes, benefits, and risks for each AI use case. Discover how EA helps organizations to successfully deliver AI initiatives.   #artificialintelligence #enterprisearchitectureservices #ai

Feeling overwhelmed by GenAI? You’re not alone! Industry leaders from every sector are battling with this struggle. But here’s some help 👇🏼👇🏼 McKinsey & Company’s latest report, “A Generative AI Reset,” offers valuable insights to unlock GenAI’s potential for your business. Here are 6 key takeaways to help you navigate the GenAI landscape, including insights from their research on data quality: 1️⃣ Ditch endless “proof of concepts” (POCs)! Instead, focus on “shaper” applications that integrate existing models with your unique data, creating a lasting competitive advantage. 2️⃣ Upskill your team strategically. Don’t reinvent the wheel! Train your existing workforce in crucial GenAI areas like model adaptation and prompt engineering. You can also supplement with experienced GenAI engineers to accelerate your progress. 3️⃣ Standardise and centralise for responsible scaling. ⚖️ Establish a central team to develop clear protocols for model access, ethical considerations, and cost control. This ensures responsible adoption without hindering innovation. 4️⃣ Streamline connections for faster development. ⚡ Invest in a technology architecture that facilitates efficient connections and code reuse between GenAI models and your internal systems. This significantly reduces development time and allows for quicker integration. ⏳ 5️⃣ Fuel your models with high-quality data. Unsure how to prepare your data for AI? Focus on data quality, particularly unstructured data which is often under-utilised. Align your data efforts with specific AI/GenAI applications and use cases for maximum impact. 6️⃣ Build trust and drive adoption for maximum impact. Focus on accuracy, transparency, and ease of use. Make reusability a key requirement for all GenAI models to encourage broader adoption and maximize your investment. Ready to unlock the power of GenAI for your business? Let’s chat! We offer resources and guidance to help you on your journey. You don’t have to do this alone. #GenAI #McKinsey #AI #FutureOfWork #ActionableInsights #DataQuality

While working with subscription business leaders in implementing AI-Driven growth for their organizations, I have observed a clear pattern: The hardest part is not really creating AI models (assuming you have a data science team), but effectively operationalizing those models to drive actions and achieve real business value. In my latest article published by Forbes Technology Council I have shared five proven strategies to successfully deploy and operationalize AI models and demonstrate impact. These are based on John Kotter's Leading Change Methodology, and they provide a structured approach to driving transformational change while managing stakeholder expectations. https://lnkd.in/dmRD-NXz These strategies have helped the customer retention leaders with whom I work in navigating AI implementation pitfalls and achieving tens of millions of dollars in increased customer lifetime value (CLV): 1. Assessing analytics maturity and identifying quick wins 2. Creating a business case for AI-enabled transformation 3. Driving proactive retention and improving CLV through the call center 4. Demonstrating business value within the first year 5. Expanding to additional channels and CLV use cases Follow the link in the comments to read the article. If you are a subscription business leader or someone who has implemented AI strategies to drive effective change, please share your thoughts on what worked well for you.

𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐯𝐬. 𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥𝐥𝐲: 𝐀 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐏𝐞𝐫𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞 At Scale 𝑋𝑌, we empower businesses to scale both vertically and horizontally, allowing organizations to focus on high-value tasks. But what does that mean? 𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠: 𝐄𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 Vertical scaling is all about adding more power to your current infrastructure. In a business context, this means optimizing your existing resources to achieve greater efficiency and performance. Here are a couple of ways we can help you scale vertically: 𝟏.𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: By automating repetitive tasks, your team can focus on strategic, high-value activities. This not only boosts productivity but also reduces errors and operational costs. 𝟐. 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Implementing data and AI systems allows for faster, more informed decision-making. This infrastructure supports advanced analytics, predictive modeling, and automated insights, driving smarter and informed business decisions. 𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠: 𝐄𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐚𝐩𝐚𝐜𝐢𝐭𝐲 Horizontal scaling involves adding more nodes or resources to your infrastructure. For businesses, this can mean expanding your operations and capabilities through through multiple strategic initiatives: 𝟏. 𝐍𝐞𝐰 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞/𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Building new software solutions to support your growing operations or to launch new products can significantly enhance your market reach and operational efficiency. 𝟐. 𝐒𝐭𝐚𝐟𝐟 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: Bringing in additional talent to support your expanding projects ensures that you have the expertise needed to maintain quality and productivity as you grow. At Scale 𝑋𝑌, we tailor our solutions to meet the unique needs of each business, whether it’s optimizing existing processes or expanding capabilities. Our goal is to help you scale effectively and sustainably, so you can focus on what matters most – driving innovation and growth. ______________________________ 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐬𝐜𝐚𝐥𝐞 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲? 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐚𝐧𝐝 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐡𝐨𝐰 𝐰𝐞 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐲𝐨𝐮𝐫 𝐠𝐨𝐚𝐥𝐬. https://scalexy.io/ #BusinessScaling #TechConsulting #VerticalScaling #HorizontalScaling #Automation #AI #SoftwareDevelopment #ScaleXY #FocusOnHighValueTask