Ralph Haupter’s Post

🚀 At EY AI Agents are helping to redefine how we work and collaborate. Microsoft’s latest updates to Copilot agents show how AI is evolving from a productivity enhancer to a strategic teammate. At EY we're embedding these agents directly into our workflows and team collaboration, enabling faster decisions, better alignment, and more meaningful human-AI collaboration. 🔍 Key Highlights: - Reasoning agents like Researcher and Analyst are tackling complex tasks with chain-of-thought logic and real-time Python execution. - Skills agent helps us map organizational expertise, bridging talent gaps and informing workforce planning. - Facilitator agent is transforming our meetings by moderating discussions, summarizing decisions, and tracking follow-ups. - Copilot Studio empowers our teams to build custom agents with no-code tools, NLP, and visual workflows. 💡 These innovations aren’t just technical, they’re cultural. Agentic AI is helping our teams rethink roles, workflows, and how we scale human potential. https://lnkd.in/eVtSncwN #AI #Microsoft365Copilot #AgenticAI #FutureOfWork #DigitalTransformation

Our partner Microsoft has announced the Microsoft Agent Framework - a new open-source engine for agentic AI applications that brings research breakthroughs into enterprise-ready solutions. Why this matters: • From prototype to production: Too many AI projects stall when scaling. This framework bridges the gap with built-in observability, compliance, and security. • Built for real-world complexity: Its modular design and interoperability (MCP, OpenAPI, A2A) make it easier to create flexible, scalable multi-agent systems. • Industry transformation: At TeamViewer, we see agentic AI redefining how remote support, automation, and productivity solutions are delivered worldwide. We’re excited about the potential of these innovations to power intelligent, adaptive solutions that empower people and organizations everywhere. 👏 Congratulations to the Microsoft team on this important step - I look forward to seeing how this framework accelerates agentic AI adoption across industries! 👉 Read more: https://lnkd.in/gaN2Pt5M #AgenticAI #AI #TeamViewer #OpenSource

After 𝘈𝘶𝘵𝘰𝘎𝘦𝘯 and 𝘚𝘦𝘮𝘢𝘯𝘵𝘪𝘤 𝘒𝘦𝘳𝘯𝘦𝘭, Microsoft now launches the 𝗔𝗴𝗲𝗻𝘁 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 — an open-source engine for building scalable, production-ready agentic AI apps. With 𝗶𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻, and 𝗹𝗼𝗻𝗴-𝘁𝗲𝗿𝗺 𝗺𝗲𝗺𝗼𝗿𝘆 integrations like Mem0, it’s a big step toward enterprise-ready agents. Exciting times for the future of AI development! link: https://lnkd.in/dRDVknKg link: https://lnkd.in/d8JMf4xF

🚀 One of the biggest announcements in AI just dropped! The Microsoft Agent Framework is here and it’s about to revolutionize how we build enterprise AI agents. 🤖✨ For the first time, we have a unified open-source framework that blends AutoGen’s with Semantic Kernel’s enterprise reliability, enabling: ⚡ Seamless agent-to-agent collaboration 🔒 Enterprise-grade security & observability 🧠 Long-running memory and durable workflows 🧩 Open standards like MCP, A2A, and OpenAPI 🌐 From research to real-world deployment This isn’t just another framework it’s the engine powering the next era of intelligent enterprise applications. 🌟 The age of agentic AI has officially begun. 🔗https://lnkd.in/g-mDMCG3 #AI #Microsoft #AgentFramework #AgenticAI #EnterpriseAI #Innovation #Autogen #SemanticKernel #FutureOfWork

Excited to see Microsoft pushing the boundaries of AI with their new Agent Framework – an open-source engine designed to power agentic AI applications! It empowers developers to build, deploy, and manage multi-agent systems effortlessly, scaling from prototypes to production-grade solutions. Key benefits include enterprise-level security, robust observability, and community-driven extensibility. This makes it a great enabler for businesses of all sizes to get started creating agentic solutions. Have a look at the Microsoft blog post a out it, worth the read: https://lnkd.in/eJmsrMbQ

Over the last year, developers have been experimenting with AI agents in every imaginable form. Agents are not just chatbots or copilots — they are autonomous software components that can reason about goals, call tools and APIs… #agents #ai #microsoft

September closed with major AI moves: > OpenAI’s Sora 2 adds synchronized audio+video and user “cameos” — why this matters: it’s a step toward lifelike multimodal content creation at scale. > DeepMind’s Veo 3 frames video models as the next LLMs — why this matters: zero‑shot “chain‑of‑frames” reasoning could unlock visual intelligence as the new foundation for agents. > GitHub’s AI project ranking shows multi-agent frameworks rising — why this matters: developer momentum signals where enterprise adoption may consolidate next. > Microsoft open‑sources its Agent Framework — why this matters: lowering entry barriers accelerates standardization across the emerging agentic ecosystem. More info: https://lnkd.in/eytvXqQz https://lnkd.in/e3QfPkJj https://lnkd.in/en94RR-d https://lnkd.in/eqiymF2n

Your AI agent prototypes work. Your production deployments are failing. Microsoft is betting that consolidation, not more innovation, is what enterprises actually need. Microsoft's new Agent Framework merges Semantic Kernel and AutoGen, targeting the 67% of firms (per Forrester) stuck before production. The issue isn't capability; it's the chasm between experimental code and the realities of security, compliance, and scale. This framework is engineered to bridge that gap. The pitch includes open standards like MCP. It’s like watching Microsoft circa 2025 give a stern talking-to to its 2005 self. However, migration is often a rewrite disguised as an update. More importantly, tooling doesn't create governance; it just exposes its absence. Your process debt will become very visible. The strategic trade is clear: gain speed to production in exchange for architectural dependency on Redmond's research priorities. Early pilots with KPMG and BMW show it has legs for regulated industries. At IBM, we see this as an aggressive move to solve the messy last-mile problem in enterprise AI. By 2026, "agent platform lock-in" will replace "AI strategy" as the primary boardroom AI debate.

🚀 AI economics depend on efficient frameworks that deliver real enterprise outcomes. That’s why this week’s announcement of the Microsoft Agent Framework is such a game changer — especially for insurance and risk organizations looking to operationalize AI at scale. This new open-source framework allows you to: ✅ Build, orchestrate, and scale intelligent multi-agent systems in Azure AI Foundry ✅ Leverage the best-in-class runtime from AutoGen and the enterprise-grade foundation of Semantic Kernel ✅ Get compliance, observability, and deep integration right out of the box ✅ Turn AI pilots into production-ready systems that enhance underwriting, claims, portfolio management, and risk modeling For insurance and risk carriers, this means moving beyond experimentation—toward adaptive, governed, and scalable agentic systems that can evolve with changing regulations and market conditions. 👉 Read more here: Introducing Microsoft Agent Framework – The open source engine for agentic AI apps If your team is exploring how to bring this into your underwriting, claims, or risk strategy — let’s talk about what’s possible. #AzureAI #InsuranceInnovation #AgenticAI #RiskManagement #Underwriting #Claims #ResponsibleAI #MicrosoftFabric #GenAI https://lnkd.in/erFv_Gaz

Microsoft has launched the Agent Framework, an open-source SDK that merges the stability of Semantic Kernel with the orchestration power of AutoGen to build scalable, multi-agent AI systems. It supports open standards like MCP, A2A, and OpenAPI, and offers enterprise-grade features such as observability, compliance, and long-running durability. Major companies like BMW, KPMG, and Citrix are already using it to power real-world AI solutions across industries. If you're curious about the future of agentic AI and want to see how Microsoft is shaping it, https://lnkd.in/e2St25yu.