Sebastian Schieke's Linkedin Analytics

We cut radiology doc time by 85%—and never miss a detail. SOPs, two clicks, always audit-ready Imagine slashing your documentation time by more than half while improving accuracy. Sounds too good to be true? It's not. We've revolutionized the way radiologists create SOPs. Our secret weapon? AI voice agents. These intelligent assistants conduct detailed interviews about procedures, cutting creation time by a whopping 80%. But we don't stop there. Our system combines the speed of AI with the irreplaceable human touch. After the AI does its magic, each SOP undergoes a thorough human review. This dual approach ensures nothing falls through the cracks. Every detail, no matter how small, is captured and documented. The result? SOPs that are not just fast to create, but also incredibly accurate and always audit-ready. Radiologists using our system have called it "mindblowing", "fast", and a "life saver". And we get it. In a field where precision is paramount, having SOPs you can trust at your fingertips is game-changing. With just two clicks, you can access any SOP you need. No more frantic searching or outdated documents. Everything is current, comprehensive, and compliant. We're not just saving time. We're giving radiologists peace of mind. Because when it comes to patient care, every second—and every detail—counts. Are you ready to elevate your radiology documentation process to the next level? Let's connect!

"I might apply to McDonald's soon." - A radiologist shows AI reading X-rays faster than his 20 years of expertise can. In the video, a seasoned radiologist watches AI analyze X-rays in seconds—work that took him decades to master. His joke about McDonald's applications isn't just funny—it's a glimpse into a future that's already here. Wait... this isn't just about reading images faster. It's about expertise being augmented by technology right before our eyes. The radiologist's experience shows us three things happening right now: Speed: AI processes medical images in seconds. Think about what this means for emergency rooms where every minute counts. Accuracy: These algorithms are spotting tiny patterns that even experienced human eyes might miss. Imagine catching a problem on the first scan, not the third. Adaptation: The role of healthcare pros is changing—fast. It's not about replacement; it's about evolution. But here's the thing... clinical diagnosis is just one piece of the healthcare puzzle. While radiologists adapt to AI reading X-rays, behind the scenes, healthcare teams face their own knowledge management headaches. You know how it goes. A nurse needs an updated isolation protocol. A compliance officer needs to verify a regulation. And where's that information? Scattered across binders, shared drives, and the minds of veteran staff who might be on vacation. Sound familiar? That's why we created askSOPia: 🧠 An AI knowledge agent that makes operational healthcare knowledge instantly accessible. It tackles the daily reality that healthcare teams face: ⚪ Finding the right SOP among thousands of documents ⚪ Accessing compliance guidance when you need it, not hours later ⚪ Ensuring every team member follows the same, current procedures ⚪ Eliminating those "if only we had known" moments that hurt patient care This isn't theoretical. It's solving real problems for healthcare teams right now. Just as diagnostic AI helps doctors make faster clinical decisions, askSOPia ensures your operational teams have instant answers to their most pressing questions. The future isn't just about AI reading X-rays. It's about intelligent knowledge systems working across your entire organization. 💬 Want to see how askSOPia works in a healthcare setting? Drop a comment below. 📥 Or DM me "Healthcare Demo" and I'll schedule a personalized walkthrough for your team. Let's build healthcare organizations where knowledge flows as quickly as diagnoses. #HealthcareAI #KnowledgeManagement #MedicalInnovation Video from @dr.fawzikatranji on TikTok

Just watched The Diary Of A CEO's "AI AGENTS EMERGENCY DEBATE" about millions of jobs vanishing in 24 months. The conversation about AI replacing jobs misses something critical for healthcare. The real challenge isn't about workforce reduction—it's about knowledge accessibility. - Critical expertise locked in siloed systems - Institutional knowledge disappearing with retiring specialists - Workflows that depend on specific people being available This isn't about replacing people. It's about UNLEASHING people. What if instead of "jobs disappearing," healthcare experienced "knowledge redistribution"? ✅ Every nurse accessing specialist-level information instantly ✅ New staff performing confidently within days, not months  ✅ Critical knowledge remaining in the organization even as people move on The future of healthcare isn't about fewer jobs. It's about transforming how knowledge flows to everyone who needs it. The organizations that will thrive aren't focused on cutting staff. They're racing to unlock the collective wisdom trapped in their systems, documents, and people. Is your organization treating knowledge as its most valuable asset? Or is it still locked away where only a few can access it?

The speed of AI is increasing exponentially, and it's leaving many behind. It's not just about the technology itself, but also the pace of change. I was reminded of this recently when a friend, let's call him Mark, got stressed out just by the thought of installing a simple parking app on his phone!It hit me: while some of us are excited about AI-driven solutions, digital transformation, and all the possibilities, others are struggling with the basics. How can we ensure we bring everyone along on this journey? We need to bridge the digital divide and ensure that everyone can benefit from the AI revolution. It's not just about innovation; it's about inclusion. Let's work together to make technology accessible to all! What strategies do you think are most effective for helping people adapt to rapid technological change? Share your experiences below! #AI #DigitalTransformation #Inclusion #Technology #ChangeManagement

Enterprise AI agents with built-in governance are rewriting the rules for compliance in regulated industries. Microsoft just raised the bar — 3 updates you can't afford to miss: 1. Enterprise-grade AI agents with built-in governance These agents integrate with Microsoft Entra, providing robust identity management and access controls. Now your AI systems operate within defined boundaries, maintaining accountability and transparency. 2. End-to-end data protection with Purview integration Purview's integration with AI Foundry ensures data protection throughout the entire AI lifecycle. This is crucial for healthcare, where patient data and PHI must be safeguarded at all times. 3. Enhanced security with Microsoft Defender for AI systems Defender now protects AI agents against threats like credential theft. This safeguards your sensitive data and SOPs, building trust in AI systems among stakeholders. These advancements set a new standard for AI in regulated industries. They address current challenges and pave the way for confident AI adoption in sensitive fields. For healthcare and other regulated sectors, this means faster innovation without compromising on compliance or security. You can now leverage AI's power while meeting stringent industry requirements. What stood out to you from the keynote? And if you're in healthcare or another regulated industry, how are you thinking about AI governance? #MicrosoftBuild2025 #HealthcareCompliance #AIGovernance #SOPManagement #RadiologyAI

Wait... Steven Bartlett's emergency episode of The Diary Of A CEO landed like a thunderclap this week. It wasn't just a debate—it was a warning: AI agents aren't coming—they're already here, making decisions without human oversight. The timing was eerie. Just as we completed our own AI knowledge solution, I watched four brilliant minds paint a future where: Routine jobs disappear within 24 months AI agents execute complex tasks autonomously Systems reason, learn, and make high-stakes decisions "We have created a new species," said Bret Weinstein. Not a metaphor. A reality. But here's what truly keeps me up at night: What happens to all the hard-earned, experience-based human knowledge as these changes sweep through? This is exactly why we built askSOPia—an AI-powered knowledge continuity system that preserves institutional memory while embracing AI's capabilities. The question isn't whether AI agents will transform your industry—it's whether you're prepared for the knowledge transition. As Weinstein put it: "We need navigation, not planning." What's your approach? Are you using AI to amplify human potential—or just to cut costs? Check out this week's newsletter for the full breakdown and actionable strategies your team can implement now.

The UAE just did something unprecedented. They rolled out ChatGPT nationwide. Not just to a few agencies or pilot programs—everywhere. Every hospital. Every school. Every government office. Think about that for a second. While most countries are still debating AI ethics in committee meetings, the UAE said: "We're all in." Here's what's happening right now: → Students getting personalized tutoring in real-time → Doctors diagnosing faster with AI assistance → Energy grids predicting failures before they happen But here's the thing—this isn't just about being first. It's about creating a whole new standard for what AI integration looks like. Other nations are watching from the sidelines, still figuring out regulations. The UAE is building the future while everyone else is planning for it. This move will attract the world's best AI talent. Investment will flow in. Innovation will accelerate. And honestly? It makes you wonder what your country is waiting for. The AI race isn't coming—it's here. And the UAE just lapped everyone. What do you think your country needs to do to catch up? Let me know in the comments. #AITransformation #DigitalInnovation #FutureOfWork #UAE #ChatGPT #DigitalTransformation #AIAdoption #GlobalTech #EmergingTech

A 10-square-mile AI campus in Abu Dhabi is rewriting the rules for regulated industries. Ultra-low-latency AI, built for Europe, Asia, and Africa. Compliance, finally simplified ↓ This isn’t just another tech hub. It’s a game-changer for industries like healthcare, finance, and logistics. Here’s why: First, location matters. Abu Dhabi sits at the crossroads of Europe, Asia, and Africa. This means ultra-low-latency AI services for businesses across these regions. Minimal delay, maximum impact. Second, compliance is a headache. But this campus is designed to navigate regional data sovereignty laws. It simplifies the process, reducing complexity and cost. You focus on growth, not red tape. Third, relevance is key. Western AI models often miss local nuances. This campus trains models using regional data. The result? Solutions tailored to specific markets, making decisions smarter and more effective. This is about more than technology. It’s about creating industry-specific knowledge systems that were once out of reach for most businesses. The future of AI is here, and it’s rewriting the rules.

The average radiologist wastes 8.2 hours per week searching for protocols. For a 100-person imaging group, that's over €1 million in lost productivity annually. But here's what most practice leaders miss: The problem isn't just wasted time. It's scattered information creating a vicious cycle of inefficiency, burnout, and compromised patient care. The solution? AI-powered knowledge management that transforms information chaos into streamlined operations – in weeks, not months. Read my latest article to discover how forward-thinking radiology practices are breaking this cycle and gaining competitive advantage through intelligent knowledge systems. What's your biggest knowledge management challenge in healthcare? Share in the comments below. #ArtificialIntelligence #DigitalTransformation #Radiology #HealthTech  #KnowledgeManagement

Flygrammar is a game changer, amazing work Mario. M. Martinez Jr.

Anthropic just released Claude 4, and it finally solves the reliability problem that kills most enterprise AI projects. You know the pattern. AI demos look amazing. Then you try to implement them in your actual business processes, and they fall apart after a few steps. Claude 4 changes that. Here's what this breakthrough actually means for your operations: 1. Sustained Performance on Complex Tasks → AI that works for hours without losing focus or quality → Your knowledge systems can handle full document reviews, compliance audits, and multi-department workflows without breaking down → Result: Cut project timelines from weeks to days 2. Memory That Actually Works → Remembers context across long conversations and projects → No more re-explaining your processes, client history, or requirements every single time → Result: Slash onboarding time by 60% 3. Two-Tier Strategy That Makes Sense → Opus 4 for mission-critical work (regulatory compliance, complex analysis) → Sonnet 4 for daily operations (customer support, document processing) → Result: Match your AI investment to actual business needs 4. Enterprise-Ready Integration → Plugs into your existing systems without rebuilding everything → Deploy in weeks, not months → Result: Actually get to market with AI that works Here's the thing... We've all seen AI projects that work great in the lab but crumble under real-world complexity. Claude 4 might be the first system reliable enough to handle your actual business processes—not just answer questions about them. For healthcare systems juggling patient data across departments, logistics companies coordinating complex supply chains, or financial services managing regulatory documentation—this could be the maturity leap that makes AI indispensable rather than experimental. What's your biggest knowledge management bottleneck right now? The complexity of your processes, the time it takes to train new systems, or keeping everything consistent across teams? #AIKnowledgeAgents #EnterpriseAI #DigitalTransformation #ArtificialIntelligence #BusinessInnovation

Look, I'm going to be direct with you. Most companies are sleepwalking into an AI disaster. After talking to leaders across healthcare, logistics, and financial services, I've seen three distinct camps emerge: The Freezers (60-70%) Doing essentially nothing beyond a ChatGPT subscription. Waiting for "best practices" while the world changes around them. The Experimenters (25-35%) Running pilots without purpose. Testing tools because they feel they should, not because they know where AI fits. The Transformers (5-10%) Actually redesigning workflows. Integrating AI into core processes. Seeing real business impact. Here's what's keeping me up at night... 94% of workers want AI skills. Only 5% of companies provide training. But here's the thing that really gets me—individual workers are reporting massive productivity gains, yet companies aren't capturing them. Why? Because experimentation without strategy is just expensive procrastination. The gap between the Transformers and everyone else isn't just growing. It's becoming a chasm. And if Anthropic's CEO is right about what's coming in the next 1-5 years? That chasm becomes a survival line. The question isn't whether AI will transform your industry anymore. It's whether you'll be steering the transformation or getting swept away by it. Which camp is your company in? And more importantly—what are you doing about it? I dive deep into the real data from three industries, share exclusive insights from our community's wins, and outline the 5 critical questions every leader needs to answer in this week's newsletter. Read the full breakdown and let me know—what patterns are you seeing in your world?

Here's the uncomfortable truth about your team's productivity: You're not failing because of one big problem. You're bleeding efficiency through a thousand small cuts. While Fortune 500 companies lose $31.5 billion annually from knowledge sharing failures, most teams don't realize they've crossed the line from manageable complexity to operational chaos. The warning signs are everywhere. Your experts have become prisoners to their own knowledge. New hires need 90+ days to become productive. The same task gets done differently by different team members. But here's what really caught my attention... David Werner, a healthcare professional who tested askSOPia, said something that stopped me cold: "In healthcare, we're often caught up in the daily whirlwind." That whirlwind isn't unique to healthcare. It's what happens when your most knowledgeable people can't take a real vacation without fielding "quick questions" from the office. Sound familiar? I've identified 5 specific warning signs that your team has hit the breaking point where AI-powered SOPs aren't just helpful—they're essential for survival. The math is brutal. But the solution is clearer than you think. If you recognize 3 or more of these signs, you're past the point where manual processes can scale with your ambitions. 👇 Full breakdown in the newsletter below What process bottlenecks is your team facing right now? #ProcessAutomation #AIWorkflow #KnowledgeManagement #OperationalEfficiency #TeamProductivity

Today marks a special milestone—I'm proud to officially launch AskSOPia! 🚀🎉✨ Every great idea starts with a conversation. For me, that conversation began with my dear friend and client, Tapio Harmia. During one of our many discussions, Tapio shared his vision: capturing the essential knowledge of his experienced staff to better onboard and train new team members. That vision became the spark for the very first prototype of AskSOPia. 💡 From that initial prototype, the journey continued when I met David Werner, who leads a forward-thinking radiology practice. David immediately saw the potential for AI-driven knowledge management, SOP creation, and effortless information retrieval to transform his healthcare team's productivity and compliance. His enthusiasm and insightful feedback fueled the evolution of AskSOPia from a simple concept into a powerful AI-powered SOP assistant. 🧠🩺📈 Today, AskSOPia empowers teams to rapidly generate and access Standard Operating Procedures through intuitive conversations—saving countless hours and significantly reducing errors. None of this would have been possible without the visionary support and trust from people like Tapio and David. 🙏 Thank you, Tapio and David, for your invaluable insights, support, and inspiration. Your belief in this vision has transformed an idea into a reality that's ready to make a tangible difference. We're excited to see how AskSOPia will continue to evolve, and even more excited to see the positive impact it will have in healthcare, manufacturing, and beyond. 🚀 #LaunchDay #Gratitude #AI #KnowledgeManagement #HealthcareInnovation #SOPautomation

A leaked OpenAI document just revealed their real plan for ChatGPT. They're not building a better chatbot. They're building what they call a "super assistant" — AI that knows you, understands your patterns, and handles tasks across all your devices. Think less "ask a question, get an answer." More "digital colleague who manages your calendar, writes your emails, and learns how you work." The shift is massive: → From tool to teammate → From reactive to proactive → From single tasks to ongoing relationship Here's what caught my attention: OpenAI wants this assistant available everywhere — your phone, laptop, email, even Siri. They're not just competing with other AI companies. They're competing to become your default way of interacting with technology. The document mentions "T-shaped skills" — deep expertise in some areas, broad capabilities in others. Basically, a specialist who's also a generalist. Available 24/7. But here's the thing... When AI becomes this embedded in our daily decisions, what happens to human agency? When your assistant knows your communication style better than you do, who's really in control? OpenAI admits this won't make money until 2026. They're playing a longer game than most people realize. The question isn't whether this technology will exist. It's whether we're ready for what comes next. What do you think — are we prepared for AI that's less like a tool and more like a persistent digital partner? Share your thoughts below. I'm curious how you see this playing out in your industry. #AI #ArtificialIntelligence #ChatGPT #OpenAI #FutureOfWork

The CEO of Anthropic just said something that should terrify every business leader. Dario Amodei—the guy literally building AI—told Axios that AI could wipe out half of all entry-level white-collar jobs in the next 1-5 years. Read that again. The person creating the technology is warning us about what's coming. And he's not talking about some distant future breakthrough. "Even if there is no technological advance from today, the current level of technology is capable of automating all knowledge jobs before the end of the decade." The tech is already here. Microsoft just cut 6,000 jobs. CrowdStrike slashed 500, citing "AI reshaping every industry." Meta's Zuckerberg says they'll have AI doing mid-level engineering work "probably in 2025." But here's what's keeping me up at night... Most companies are doing absolutely nothing about this. After 22 years in business transformation, I'm seeing three distinct patterns emerge: → 60-70% of companies: Complete paralysis (doing nothing) → 25-35% of companies: Random experimentation (no strategy) → 5-10% of companies: Strategic transformation (will survive) I've been tracking real data across healthcare, logistics, and financial services. The patterns are both encouraging and terrifying. This weekend's edition of The High-Performance CEO will contain my full analysis. It includes: ✅ Hard data from three industries showing who's winning and why ✅ The uncomfortable truth about why individual AI gains aren't translating to company success ✅ Five critical things every leader needs to track right now ✅ What separates the 5% who will thrive from the 95% who won't Amodei's warning: "You can't step in front of the train and stop it. The only move that works is steering the train 10 degrees in a different direction. That's possible, but we have to do it now." The bloodbath is coming. But it doesn't have to include you. 𝗪𝗵𝗮𝘁 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗮𝗿𝗲 𝘆𝗼𝘂 𝘀𝗲𝗲𝗶𝗻𝗴 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆? Drop a comment—I'm genuinely curious what's happening in other sectors. #AI #BusinessStrategy #Leadership #FutureOfWork #DigitalTransformation