Andreas Horn’s Post

🚀 𝗕𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗶𝗻 𝗔𝗜 𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿𝗥𝗟 𝗖𝗵𝗮𝗻𝗴𝗲𝘀 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 Just discovered something incredible from Chinese startup Z.ai that's about to revolutionize how we think about workplace automation. **Meet ComputerRL** - the first AI framework achieving 48.1% success rate on complex desktop tasks (outperforming OpenAI's models at 42.9%). ## **🤔 What is this?** ComputerRL is an end-to-end reinforcement learning framework that enables AI agents to operate complex digital workspaces autonomously. Think of it as giving AI the ability to use computers like humans do - but faster, more consistently, and at massive scale. ## **⚙️ How it works?** → **API-GUI paradigm:** Combines programmatic API calls with visual interface interaction → **Distributed training:** Learns across thousands of virtual desktop environments simultaneously → **Entropulse methodology:** Prevents AI training plateaus through alternating RL and supervised fine-tuning → **Adaptive intelligence:** Adjusts to interface changes without breaking ## **💡 Why it matters?** → **64% performance improvement** through reinforcement learning → **Cost reduction:** Eliminates need for extensive manual scripting → **Reliability boost:** Adapts when interfaces change (unlike traditional RPA) → **Democratizes automation:** No programming expertise required → **Enterprise scalability:** Works across thousands of environments ## **🎯 Real-time use cases:** **IT Support Example:** A VP needs urgent system access before a critical meeting. ComputerRL autonomously: - Navigates Salesforce, HR systems, financial dashboards - Creates user accounts with proper permissions - Configures access settings across platforms - Sends confirmation emails - Completes in minutes vs. hours **Financial Services Example:** Processing customer refund requests: - Verifies account details in customer database - Checks order history and eligibility - Processes refund through payment system - Updates CRM with interaction details - Generates compliance reports automatically **Healthcare Administration:** Patient intake automation: - Accesses electronic health records - Verifies insurance coverage - Schedules appointments across systems - Updates patient information - Coordinates with multiple departments **What excites me most?** This isn't just automation - it's intelligent adaptation that learns and evolves with your business needs. #AI #Automation #MachineLearning #DigitalTransformation #Productivity #Innovation #TechBreakthrough #ReinforcementLearning

Hyperautomation’s Quiet Revolution Transforming Business Operations ⁣ ⁣ Remember when automation was just about speed? The game changed dramatically. By 2025, 𝗵𝘆𝗽𝗲𝗿𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 has become the backbone of digital transformation, blending AI, RPA, and advanced analytics into one intelligent system. ⁣ ⁣ Here’s why it matters: ⁣ 🚀 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗨𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 — AI now works like humans: seeing, reasoning, acting. ⁣ 💡 Key enablers include 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗡𝗟𝗣, and seamless system 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻. ⁣ 📈 Business wins: ⁣ • 800+ hours saved per analyst ⁣ • Cut costs and boost operational agility ⁣ • Scale effortlessly without ballooning teams ⁣ ⁣ This shift is not just a trend—it’s now essential for smarter, faster innovation. ⁣ ⁣ Are you ready to let AI become your next coworker? ⁣ ⁣ Explore the future in detail at https://lnkd.in/dxYiVFMq ⁣ ⁣ #DigitalRobots #WorkSmarter #EnterpriseAutomation #BusinessInnovation

The Future is Now: Unlocking Unprecedented Efficiency with Intelligent Automation The landscape of business is rapidly evolving, driven by groundbreaking advancements in AI and automation. Are you ready to harness its full potential and transform your operations? 💡 Intelligent automation is no longer a futuristic concept; it's today's competitive advantage. Businesses are leveraging sophisticated AI agents and chatbots to streamline operations, saving countless hours and resources. Imagine automating repetitive tasks that currently consume valuable employee time. 🛠️ The beauty lies in its accessibility. With powerful No-Code solutions like Make.com and Zapier, companies are optimizing everything from workflow optimization to CRM automation, often without needing extensive coding knowledge. This empowers teams to build custom solutions quickly and efficiently, solving specific problems daily. 📈 Consider the impact on customer interactions, where AI-powered chatbots provide instant support, or how generative AI in content creation is revolutionizing marketing. Even managing complex data with tools like Airtable becomes infinitely more efficient when integrated with intelligent automation systems. These tools offer practical, tangible benefits. The trajectory of intelligent automation points towards an era of unprecedented efficiency and innovation. Embracing these technologies isn't just about keeping up; it's about leading the charge in your industry and securing a competitive edge. What specific challenges in your business do you believe intelligent automation could solve? Share your thoughts below! Powered by AI: This content was created and optimized using intelligent content automation systems. This is just one example of the capabilities I implement for businesses to save time and increase efficiency. Ready to discuss how AI automation can transform your processes? 🚀 LETS DISCUSS YOUR PROJECT! #IntelligentAutomation #AI #NoCodeSolutions #BusinessEfficiency #WorkflowOptimization #MakeDotCom #ZapierExpert #AirtablePro #AIForBusiness https://lnkd.in/ghPGDQRg

🚀 Data + AI + Automation + AI Agents in 2025 1. Data → The Digital Nervous System Data in 2025 is real-time, multimodal, federated, and contextual. Sources: IoT sensors, 5G devices, ERP/CRM, customer interactions, social signals, blockchain, satellite feeds. Types: Structured (ERP, CRM), Unstructured (docs, contracts, videos), Sensor Data (temperature, vibration), Behavioral Data (clicks, transactions). Processing: Edge + Cloud hybrid pipelines, streaming analytics, zero-trust security. 2. AI → The Brain AI transforms raw data into predictions, decisions, and simulations. Capabilities: Predictive AI – forecasting demand, churn, failures. Generative AI – creating reports, scenarios, and solutions. Adaptive AI – learning continuously from new data. Causal AI – explaining why things happen, not just correlations. 3. Automation → The Hands Automation executes decisions instantly, at scale. Technologies: RPA (Robotic Process Automation) for repetitive work. Workflow Automation (low-code orchestration). IT & OT Automation (self-healing infrastructure). Capabilities: Triggered responses (auto reroute logistics if truck breaks down). Hyperautomation → linking RPA, ML, IoT, ERP together. Human-in-loop controls for oversight. 4. AI Agents → The Autonomous Workforce AI Agents act as digital co-workers with memory, goals, and collaboration skills. Capabilities: Understand tasks and context. Negotiate and collaborate with other agents. Improve themselves over time (learning + feedback). Types of Agents: Ops Agent – manages schedules, supply chains, quality checks. Finance Agent – automates cash flow, dynamic pricing, fraud prevention. HR Agent – onboarding, employee training, workforce planning. Sustainability Agent – tracks carbon emissions, enforces compliance. Customer Agent – personalized service, anticipates needs. ⚡ Industry Impact in 2025 Energy & Utilities: Autonomous smart grids balance renewable supply + demand. Manufacturing: Self-optimizing plants, predictive quality control. Healthcare: AI agents assist doctors with diagnosis, treatment, and patient flow. Finance: Autonomous agents manage risk, compliance, and instant trading. Retail & Supply Chain: AI agents forecast demand, optimize logistics, and run dynamic pricing. 💡 Big Picture The convergence in 2025 looks like this: Data (signals everywhere) ➝ AI (intelligence everywhere) ➝ Automation (execution everywhere) ➝ AI Agents (autonomy everywhere) 👉 Result: Self-driving enterprises that sense, decide, and act — with humans as supervisors and strategists.

AI-powered automation is no longer a futuristic vision—it’s the reality reshaping enterprise growth in 2025. With the global AI market now valued at $391B and adoption rates accelerating, 83% of companies have made AI a top strategic priority. What’s driving this transformation? Hyperautomation and agentic AI platforms are delivering measurable business benefits: 20%+ ROI in year one, 21% fewer diagnostic errors in healthcare, $1.3M annual gains in finance, and an 18% jump in retail order values. The pace of change is undeniable. In just five years, AI orchestration platform adoption has surged from under 10% to 50% among enterprises. By the end of 2025, 90% of business applications will run with embedded AI. Industry leaders are leveraging conversational AI, voice agents, and intelligent document processing to revolutionize workflows—from automating patient records in healthcare to streamlining loan origination and compliance in finance, to driving qualified lead conversion in real estate and increasing manufacturing throughput in automotive. But technical capability is only part of the story—success demands a strategic approach. That means deploying agentic AI platforms built for multimodal, compliant, and integration-ready use; mapping business processes for automation; launching rapid pilots; and measuring ROI across operational and compliance KPIs. Change management cannot be overlooked: executive sponsorship, upskilling, and robust data governance drive adoption and mitigate resistance. For many, “plug & produce” models and human-cobot collaboration are breaking down legacy barriers to transformation. The next 12-18 months will set market leaders apart. Early adopters of advanced automation are building defensible advantages—reporting 35% higher operational agility, up to 28% better pipeline conversion, and the ability to capture new opportunities as regulatory and talent landscapes shift. By 2026, 97 million new jobs will be required to support AI growth, placing a premium on workforce upskilling and proactive technology investment. How is your organization capitalizing on the convergence of hyperautomation, agentic AI, and real-time data intelligence? What frameworks are delivering ROI in your industry? I’d love to hear your perspective on overcoming change management barriers and the most valuable use cases emerging in your sector. Ready to architect a sustainable automation strategy that transforms your enterprise? Connect with us to explore tailored implementation plans, technology roadmaps, and proven frameworks powering award-winning results in healthcare, finance, real estate, retail, and automotive. #AIAutomation #Hyperautomation #AgenticAI #DigitalTransformation #EnterpriseGrowth #BusinessStrategy #Innovation #OperationalExcellence

## 🚀 AI Automation & Emerging Tech: The Game Changer for 2025 We are living in the fastest-moving technological era in history. Every day, Artificial Intelligence, automation systems, and emerging technologies are not just disrupting industries—they are redefining how businesses operate, scale, and compete. In 2025, it’s no longer a question of if your business should adapt—it’s a question of how fast you can. --- ### 🔹 Why AI Automation is Taking Over AI is no longer just a “tool”—it’s becoming the backbone of smart business operations. From real-time customer engagement to predictive analytics, automation now works 24/7 to: * Reduce costs by eliminating repetitive manual tasks * Boost productivity with AI-driven workflows * Personalize customer experiences with data-powered insights * Scale faster without scaling your team size --- ### 🔹 Emerging Technologies Changing the Game * Generative AI is enabling businesses to create content, strategies, and marketing campaigns in minutes. * IoT & Real-Time Data are giving instant insights for faster decision-making. * 6G & Edge Computing will make real-time processing seamless, opening doors for advanced automation. * Blockchain & Smart Contracts are redefining trust and transaction speed. --- ### 🔹 The Harsh Reality The businesses that embrace AI automation today will lead tomorrow. Those that delay? They’ll spend years catching up—if they survive the competition at all. The question isn’t “Will AI replace jobs?” anymore. The real question is: Will you use AI to replace inefficiency? --- ### 💡 My Offer to You I’ve built a proven automation system that can integrate AI, streamline processes, and give any business a growth boost—whether you’re in e-commerce, coaching, consulting, network marketing, or services. And I’m sharing the exact blueprint in my free Automation Webinar. --- ✅ Click here to reserve your spot now: [Join the Automation Webinar](https://lnkd.in/dmatebFt) Let’s unlock the power of AI, Automation, and Emerging Tech—so your business can work for you, even while you sleep. --- #AI #Automation #EmergingTech #BusinessGrowth #DigitalTransformation #Productivity #ScalableBusiness #FutureOfWork #Webinar #BusinessAutomation #ArtificialIntelligence #uk #uae #mumbai #surat #rajkot #maharashtra #ahemdabad #canada #flpindia #flp

Future Of AI In ITSM Here are the key trends and potential developments in the future of AI in ITSM: 1. Autonomous IT Operations (AIOps) AI will increasingly be used to automate end-to-end IT operations, from monitoring system performance to resolving incidents without human intervention. AIOps, or Artificial Intelligence for IT Operations, will leverage machine learning, big data, and AI algorithms to analyze vast amounts of IT data, detect patterns, and take corrective actions autonomously. IT operations will become more predictive and preventive, reducing system downtime and enhancing service availability through self-healing systems. 2. Predictive and Prescriptive ITSM AI’s predictive capabilities will evolve to not only forecast incidents but also prescribe the best course of action to prevent issues. This will enable ITSM teams to move from reactive problem-solving to proactive service management, reducing disruptions and improving service continuity. 3. Hyper-Automation Hyper-automation, driven by AI, will allow organizations to automate a wider range of ITSM tasks, including complex processes such as multi-step service requests and change management workflows. Robotic Process Automation (RPA) combined with AI will handle tasks with minimal human input, drastically reducing service delivery times. 4. Enhanced Virtual Agents and Conversational AI AI-powered virtual agents and chatbots will become more advanced, evolving from simple text-based interactions to more natural, human-like conversations. These AI systems will be able to handle complex queries, understand context, and provide personalized support by learning from past interactions. 5. AI-Driven Knowledge Management AI will revolutionize knowledge management by automatically curating, organizing, and updating knowledge bases. AI will continuously learn from new incidents and resolutions, ensuring that knowledge bases are always up-to-date and relevant. 6. Smarter Incident and Problem Management AI will enable smarter incident and problem management by identifying root causes faster and more accurately through advanced correlation techniques. AI will analyze large volumes of historical and real-time data to pinpoint the underlying causes of recurring issues, allowing for more effective problem resolution. 7. Continuous Service Improvement AI will play a critical role in driving continuous improvement by identifying inefficiencies in ITSM processes and recommending optimizations. AI will analyze performance data to suggest improvements in workflows, resource management, and service delivery models, ensuring that IT services evolve in line with business needs. https://lnkd.in/eSYF5AHp  #Digital - #DigitalStrategy – #DigitalTransformation - #DigitalEnterprise - #DigitalEconomy #IIoT #IoT #DigitalTwin #Industry40 #MOM #MES #ERP #SmartFactory #COBIT #ITIL #ITSM #IT4IT #ISO27001 #ISO20000 #ISO #AI

The Intelligent Automation Revolution: How AI is Reshaping Business The future of business is being redefined by Intelligent Automation. Are you ready to harness its power for unprecedented efficiency and innovation? 🚀 Intelligent Automation, powered by advanced AI technologies, is no longer a futuristic concept – it's today's reality. We're witnessing an era where tasks that once consumed hours are now completed in minutes, dramatically increasing operational efficiency across industries. 💡 Imagine seamless workflow optimization, where manual data entry for CRM automation becomes obsolete, or customer interactions are elevated through sophisticated AI agents and chatbots. These aren't just buzzwords; they're tangible No-Code solutions for saving time and solving specific business problems. ⚙️ The beauty of modern intelligent automation lies in its accessibility, largely thanks to powerful No-Code solutions. Tools like Make.com, Zapier, and Airtable empower businesses of all sizes to build complex automated workflows without needing extensive coding knowledge. This democratization of technology means faster deployment and quicker ROI. ✍️ Furthermore, the rise of generative AI in content creation is transforming how businesses communicate and market. From automated social media posts to personalized email campaigns, these capabilities streamline processes and enhance customer engagement, driving significant improvements in customer interactions. The bright future of Intelligent Automation is about more than just technology; it's about empowering businesses to achieve more with less, fostering innovation, and preparing for tomorrow's challenges today. What's one process in your business you wish was fully automated? Share your thoughts below and let's discuss the possibilities! 👇 Powered by AI: This content was created and optimized using intelligent content automation systems. This is just one example of the capabilities I implement for businesses to save time and increase efficiency. Ready to discuss how AI automation can transform your processes? 🚀 LETS DISCUSS YOUR PROJECT! #IntelligentAutomation #AI #NoCodeSolutions #BusinessEfficiency #WorkflowOptimization #MakeDotCom #Zapier #Airtable #AIForBusiness https://lnkd.in/ghPGDQRg

🔬 After 18 months implementing multi-agent AI systems across Fortune 500 companies, here's what the data reveals about the next evolution of artificial intelligence. While most organizations are still mastering single AI applications, forward-thinking enterprises are already deploying coordinated AI agent ecosystems that fundamentally transform how complex business problems get solved. Understanding Multi-Agent AI Architecture Single Agent Limitation: One AI handling one task, operating in isolation. Multi-Agent Revolution: Specialized AI agents collaborating, communicating, and coordinating to solve complex, multi-dimensional challenges. Think of it as evolving from individual contributors to high-performing cross-functional teams—but at machine speed with perfect information sharing. The Three Pillars of Multi-Agent Systems 🎯 SPECIALIZATION Each agent masters a specific domain: Research Agent: Data gathering and analysis Strategy Agent: Planning and decision-making Execution Agent: Task implementation and monitoring Quality Agent: Validation and optimization Communication Agent: Stakeholder updates and reporting A - AGENT DEVELOPMENT Build specialized agent capabilities Train on domain-specific datasets Implement learning and adaptation mechanisms Create agent performance monitoring systems L - LAUNCH STRATEGY Deploy in controlled sandbox environment Run parallel systems during validation period Train human operators on new workflows Establish human oversight protocols E - EVOLUTION MANAGEMENT Monitor multi-agent system performance Optimize agent interactions and workflows Scale successful patterns to new use cases Continuously enhance agent capabilities Technology Stack for Multi-Agent Implementation 🔧 FRAMEWORKS Microsoft AutoGen: Enterprise-grade multi-agent orchestration CrewAI: Role-based agent collaboration platform LangGraph: Advanced workflow orchestration for complex tasks Apache Airflow + AI: Data pipeline integration with agent workflows 🔒 GOVERNANCE & SECURITY Agent authentication and authorization protocols Inter-agent communication encryption Audit trails for all agent decisions and actions Compliance monitoring and reporting systems 📊 MONITORING & ANALYTICS Real-time agent performance dashboards Cross-agent communication analysis System-wide efficiency metrics Predictive maintenance for agent workflows Strategic Considerations for Enterprise Leaders 💰 🎯 CHANGE MANAGEMENT Executive sponsorship essential for cultural adoption Cross-functional teams required for successful implementation Comprehensive training programs for human-agent collaboration Clear policies for human oversight and intervention ⚡ COMPETITIVE ADVANTAGE Organizations successfully deploying multi-agent systems are achieving: 3-5x faster decision-making cycles 40-70% reduction in operational costs 90%+ accuracy improvements in complex tasks Ability to handle 10x more concurrent processes

🚀 Emerging Tools in IPA: Power Automate, CrewAI & n8n As Intelligent Process Automation (IPA) evolves, tools are emerging that go beyond traditional automation — enabling smarter, more adaptive workflows. 🔹 Power Automate Microsoft’s low-code platform is a staple in enterprise automation. When integrated with: Azure AI Copilot Studio Cognitive Services …it becomes a powerful IPA engine for document processing, decision-making, and conversational bots — all within the Microsoft ecosystem. 🔹 CrewAI A cutting-edge framework for coordinating AI agents that collaborate on complex tasks. Each agent has a role — searching, analyzing, deciding — and together they execute workflows that require reasoning and adaptability. Ideal for dynamic, multi-step processes that go beyond simple rules. 🔹 n8n An open-source workflow automation tool that shines in flexibility and extensibility. With support for: Custom nodes API integrations AI services (OpenAI, Hugging Face, etc.) n8n can orchestrate intelligent workflows by connecting RPA bots, AI models, and business systems — making it a lightweight yet powerful IPA enabler. 🧠 These tools represent a shift from automation that executes to automation that thinks. 💬 Have you explored any of these platforms? What’s your experience with emerging IPA tools? #IPA #Automation #PowerAutomate #CrewAI #n8n #AI #DigitalTransformation #SmartAutomation #LowCode #OpenSource