The Foundation Problem: Why Most AI Projects Collapse 70% of AI initiatives fail before delivering real value. The reason isn't what you think. It's not about technology, talent, or budget. It's about what happens BEFORE you implement AI. I call it the Foundation Problem: • AI amplifies everything you feed it • Broken processes become MORE broken • Bad data creates WORSE outcomes • Unclear goals lead to expensive distractions The most successful organizations understand this critical truth: AI is an amplifier, not a fix. Want to avoid becoming another statistic? Focus on: 1. Auditing your data quality first 2. Streamlining processes before automation 3. Defining clear success metrics 4. Building strong governance frameworks 5. Starting small with targeted use cases Remember: The quality of your AI output will never exceed the quality of your foundation. I've created a detailed analysis of this challenge and how to overcome it last week's episode: https://lnkd.in/gRKp9Rdb What's the biggest foundation issue holding back your AI initiatives?
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An article I can relate to as practitioner: - AI is not replacing you anytime soon, but the person who learns to use it better than you just might. - Use it as a tool, solve 1 problem at a time that brings the most value to the business.
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The biggest AI mistake I see businesses make? Expecting it to be a "big red button" that solves everything automatically. AI isn't magic. It's a powerful tool that still needs human direction, systems, and oversight. The companies succeeding with AI aren't the ones trying to automate everything. They're the ones using it to amplify human capabilities. Watch for more common AI pitfalls for business: https://hubs.li/Q03CbcNL0 What's your biggest AI reality check so far?
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The biggest AI mistake I see businesses make? Expecting it to be a "big red button" that solves everything automatically. AI isn't magic. It's a powerful tool that still needs human direction, systems, and oversight. The companies succeeding with AI aren't the ones trying to automate everything. They're the ones using it to amplify human capabilities. Watch for more common AI pitfalls for business: https://hubs.li/Q03Cbbj_0 What's your biggest AI reality check so far?
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While everyone's rushing to implement AI in their businesses, here's the uncomfortable truth nobody wants to hear: You probably don't need AI yet. And if you implement it anyway, you'll likely make things worse. We've helped businesses leverage AI and Technology, and the ones who skip the foundation work always end up worse off than when they started. Here's what they don't understand: 𝗔𝗜 𝗮𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝘀 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂'𝗿𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗱𝗼𝗶𝗻𝗴. Broken processes become broken faster. Here's a simple framework to get your company ready to leverage AI.
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🚀 AI won’t replace you—but the person who knows how to scale AI will. I just dropped a new video: “Identifying & Scaling AI: How to Build High-Leverage Systems for Growth”. In it, I break down: ✅ How to identify real AI opportunities (not shiny tools) ✅ Why scaling AI is more about systems than software ✅ Frameworks for entrepreneurs & professionals to harness AI Curious: what’s the #1 bottleneck in your business you wish AI could solve today?
Identifying & Scaling AI: How to Build High-Leverage Systems for Growth
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AI has three jobs... ⏰ Does it create time? 💰 Does it create money? 🧠 Does it provide knowledge? If it does none of these, skip it. But there is always an opportunity. Always. So where do you look for that real AI use case? 🤔 1️⃣ Data organisation and structure 2️⃣ Defined, repeatable processes You don't need to find an innovative new customer facing AI feature for your business - look to drive internal efficiency first. ⏰ Time 💰 Money 🧠 Knowledge 3 things that AI can have a huge impact on with immense ROI. And the biggest barriers to progress? ✋ Overwhelm of AI ✋ Uncertainty of AI focus area I've been working hard at Sherwen Studios to help our clients overcome these barriers, identify the right AI use cases for optimised ROI and implement the solutions with speed. Why not try out our AI Readiness tool and see where you stand? https://lnkd.in/ev9G4M9u #aireadiness #aiforroi #designstrategy #designleadership #ai
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Insightful perspective, Roland Busch. AI offers immense data and analytical power, but the uncertainty and nuanced judgment required in strategic thinking remain uniquely human. The true potential lies in how leaders combine AI capabilities with human experience to make informed, forward-looking decisions. This synergy is what will define successful leadership in the digital age. Looking forward to more of your thoughts on embracing AI to augment—not replace—human creativity and insight. #Leadership #AI #StrategicThinking #Innovation #FutureOfWork #HumanAndMachine
Can AI replace strategic thinking? 🤔 Here's my take: Even with all the data in the world, there will always be uncertainty. And that's where human judgment and experience come in - something AI can't easily replicate. Do you agree?
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Agentic AI is here, but not everything it promises is grounded in reality. Here’s the truth: Automating repeatable, time-sensitive tasks? Smart. Expecting AI to replace strategic thinking? Not yet. The real value is in automating the tactical so you can accelerate the strategic, freeing up time for the decisions that still require a human mind.
Agentic AI in Procurement: Real vs. Hype
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Generative AI isn’t just hype anymore. In 2025, it’s growing up. ✔️ Smarter LLMs that run faster and cheaper ✔️ AI agents built to act, not just answer ✔️ Synthetic data reshaping how models are trained But here’s the real shift → it’s no longer about what AI could do. It’s about how enterprises can apply it reliably and at scale. We broke it down in this carousel — from hallucination fixes to the rise of agentic AI — so you can see what’s really driving adoption this year. 👉 Swipe through to understand how AI for companies is maturing in 2025, and why early movers will set the pace.
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