Co-authoring article on agentic AI's impact on supply chains with Max Omlie

💡 Agentic AI: The Next Frontier for Enterprise Transformation Generative AI has boosted productivity — but business performance? Still flat. According to McKinsey’s latest playbook, most enterprises remain stuck in pilot mode. The next leap isn’t more chatbots — it’s Agentic AI. 🚀 What changes with Agentic AI Unlike traditional GenAI that just responds to prompts, Agentic AI systems can: 🧠 Plan and decompose tasks ⚙️ Act autonomously across systems 🔄 Learn and adapt from feedback 🧩 Escalate safely when needed These agents integrate inside workflows — not on top of them — driving true business impact. 🧭 McKinsey’s Playbook for Leaders To deploy Agentic AI responsibly and effectively: 1️⃣ Identify high-impact workflows (e.g., customer service, operations, finance) 2️⃣ Redesign processes around agents, not just plug them in 3️⃣ Establish governance, audit trails, and human-in-loop oversight 4️⃣ Treat AI as part of your workforce architecture, not a tech pilot 🌍 In logistics and supply chain Agentic AI will reshape execution: 🚛 rerouting shipments in real time, 📄 automating customs and compliance, 📞 resolving exceptions before escalating. This isn’t another AI tool — it’s the start of autonomous digital operations. 🔐 The key Productivity comes from GenAI. Performance comes from Agentic AI — when designed with safety, governance, and purpose. #AgenticAI #EnterpriseAI #DigitalTransformation #McKinsey #AIinLogistics #AILeadership #AIgovernance

🚨 95% of AI pilots fail to deliver business impact (MIT, via Forbes). Gartner warns that 40% of agentic AI projects will be scrapped by 2027. McKinsey shows most enterprises still struggle to scale AI across the business. This isn’t about AI not working. It’s about large companies approaching transformation the wrong way: – Chasing shiny tools instead of building orchestration. – Letting IT run the show instead of operations. – Celebrating pilots while the business sees no value. The bold few will flip the script: put operations in charge, empower frontline experts with agentic orchestration, and embrace agentic arbitration to redesign their business. 👉 Read Boris Krumrey's, VP Automation Innocations at UiPath, new article: http://spr.ly/60457EjNH hashtag#UiPath hashtag#AI hashtag#AgenticAI hashtag#AgenticOrchestration hashtag#AgenticAutomation hashtag#BPMN

The Next Wave of Enterprise AI: Agentic Intelligence in Action AI is entering a new chapter — moving beyond single-purpose models to collaborative systems of intelligent agents that can plan, act, and decide. At Accenture, we’re shaping this evolution through the AI Refinery, a platform that transforms how organizations design, deploy, and scale enterprise AI. The most exciting part of this transformation is the emergence of Agentic AI — a paradigm where multiple specialized AI models work together like a team of experts. Each agent has its own role — data analysis, strategy, content generation, validation — and together they coordinate, reason, and make decisions in real time. This isn’t just automation — it’s autonomy with accountability. Agentic systems continuously learn from outcomes, adjust their own workflows, and deliver faster, more consistent, and data-driven results across every function — from marketing and finance to industry operations and supply chains. With Accenture’s AI Refinery, organizations can: ⚙️ Build and orchestrate AI agents tailored to their processes 📊 Integrate data securely across the enterprise 💡 Enable decision-making that’s explainable, compliant, and adaptive 🏛️ Scale AI responsibly with governance and sovereignty at the core Agentic AI represents a new level of intelligence — where systems don’t just answer questions, but collaborate, decide, and create value together. Curious? More here: #AccentureAI #AIRefinery #AgenticAI #Innovation #EnterpriseAI #DataDriven #Automation #GenAI

🚀 Is Your Enterprise Ready for the AI Revolution? According to McKinsey's latest "State of AI 2025" report, nearly all organisations are embracing AI, yet most are still in the early stages of scaling it for transformational impact. Success extends beyond piloting—genuine value arises from embedding AI deeply into workflows with strong leadership and a bold vision for innovation. At Actomata, we're not just riding the wave of AI — we're shaping the future with agentic AI solutions that deliver measurable ROI and operational excellence. From strategic consulting to customised AI agent development and enterprise training, Actomata empowers organisations to move from experimentation to scalable AI transformation. 🌟 Why choose Actomata? ✓ Over 8 years of enterprise automation expertise ✓ A unique focus on agentic AI for autonomous decision-making ✓ Proven record of reducing manual work by 80%, enhancing customer satisfaction, and improving compliance ✓ Comprehensive services in one place: strategy, development, and training ✓ Designed to align business goals with AI-powered solutions The 2-3 year window to gain a competitive AI advantage is closing rapidly. Let’s explore how Actomata can help you lead AI-driven transformations with confidence and impact. #AI #AgenticAI #EnterpriseAI #AITransformation #Actomata #McKinseyAI2025 #Innovation #Automation

I just analyzed McKinsey's 2025 AI report. One number jumped out: 6% That's the percentage of companies actually winning with AI. Not experimenting. Not piloting. WINNING. While 90% of companies use AI, only one-third move beyond pilots. But that elite 6%? They're playing a completely different game. Here's their playbook (and it's eerily similar to what we learned from RPA/IA): What they DON'T do: Bolt AI onto existing processes Chase efficiency metrics alone Run endless PoCs with no real budget Let AI sit alongside legacy systems What they DO: Rebuild workflows from the ground up (3x more likely than average) Set growth + innovation objectives (not just cost reduction) Deploy centralized governance teams Invest in real infrastructure that supports AI at scale Move fast with iterative development cycles The biggest lesson? These high performers measure how fast their AI agents can transform work. Everyone else just measures how much faster the old work gets done. History doesn't repeat, but it sure rhymes. The best practices for AI transformation aren't new—we learned them through intelligent automation. The question is: will we apply them this time? Check out the complete report 👇🏽

This PwC playbook positions Agentic AI as the next frontier in artificial intelligence, defining it as systems that can autonomously make decisions and take actions to achieve specific goals. It explains that Agentic AI goes beyond previous technologies by performing entire workflows independently, leading to major gains in efficiency, cost reduction, and customer experience. The document urges businesses to adopt it early to secure a competitive advantage, warning that late movers will struggle to catch up. It provides a strategic roadmap for implementation, advising companies to start with high-impact pilot projects, ensure they have the right data and technology, and manage organizational change. The core message is that leveraging Agentic AI is a strategic imperative for future success.

AI Spending May Slow Down — But Delivery Is Where ROI Lives 🚨 According to CIO, many enterprises are re-evaluating AI spend as ROI remains elusive. Forrester predicts some organizations may delay a quarter of their planned AI investments while they work to link AI-led efficiency gains to actual business outcomes. CIO That’s a smart move. AI is powerful, but value only comes when what’s built is reliably delivered. At Opsera, we believe the real return on AI isn’t just in writing code — it’s in deploying it safely, repeatedly, and at scale. When companies bring AI into development or “vibe-coding” workflows, the missing piece often isn’t the technology... it’s the orchestration, compliance, and governance layer around it. If your AI investments are being questioned, maybe it’s time to look at how your delivery pipeline supports them. That’s where we come in. #AI #ROI #DevOps #Governance #ContinuousDelivery #Opsera

Having worked extensively on POCs leveraging GenAI and Agentic AI to automate various phases of the SDLC and meet evolving client expectations, I found the insights shared in the article below truly thought-provoking. It’s a well-articulated reminder for all of us — especially those shaping organizational strategy — to approach GenAI and Agentic AI adoption thoughtfully, ensuring innovation goes hand in hand with sustainability and readiness. https://lnkd.in/dTsUa8Vn

Agentic AI might finally do what ten years of “digital transformation” couldn’t: break the silos. McKinsey & Company has a new piece about this. They say the pilot phase is over, and it’s time for real enterprise impact. Fair enough. The article makes good points. But it made me smile a bit. Most companies still struggle to get Marketing and IT to talk to each other. And now we’re talking about coordinating a network of autonomous AI agents? The technology is ready. The data is there. What is missing is… people working together. We keep talking about collaboration and cross-functionality. Then someone mentions sharing data, or worse, sharing budget, and the room goes quiet. Agentic AI won’t fix silos. It’ll just make them impossible to hide. Worth reading though: https://lnkd.in/gKy8VN5a

Many insurers have adopted AI/GenAI; 90%+ insurers have launched pilots; however only 7% have scaled to enterprise-wide adoption } Scaling AI/GenAI capabilities and driving value requires a focused, end-to-end approach: • Prioritize 2-3 high value pools to transform, instead of a "thousand flowers bloom” approach • Balance technology with talent: 30% value is derived from AI/GenAI technology, 70% is derived through organizational capabilities and transformation.