Demetri Papazissis on Reframing Enterprise AI as an Operational Discipline

Most AI Voice platforms are still solving: “Can AI talk?” We are solving: “How can enterprises deploy AI Voice at scale without exploding costs?” That’s where our VARTA architecture comes in. At HumAInise.ai, we have focused deeply on: ⚡ Lower latency ⚡ Intelligent routing ⚡ Reduced LLM dependency ⚡ Optimized STT/TTS usage ⚡ Multi-step workflow execution ⚡ Better cost per conversation Because enterprise AI Voice success is not about flashy demos. It is about: reliability, operational scalability, economics deployment readiness The next wave of AI winners will be those who make AI commercially viable at scale. #AIInfrastructure #VoiceAI #GenerativeAI #EnterpriseAI #HumainiseAI Dheeraj Khatter Himanshu Kumar Kshitiz Saini Simmi Khurana Rahul Singh Rawat SACHIN MAGOTRA

Many organizations are running AI experiments. But far fewer are seeing enterprise-scale outcomes. Why? Because individual AI agents rarely deliver value on their own. The real impact comes when agents are connected into workflows that support business processes. That requires orchestration. Agentic Orchestration enables organizations to coordinate multiple AI agents, integrate them with existing systems, and automate complex decision flows. In other words: moving from AI pilots to AI operations. At Xebia, we help organizations build the architecture that makes this possible. Explore the solution: https://okt.to/rgCXbL #AITransformation #AgenticAI #EnterpriseAI Marcel de Vries, Ross Shahandeh, Michelle Welcks, Chad Cross, Allen Conway, Josh Garverick, Hemant Ramnani, Matthias Walgers, Freddy Aben

Most tech conversations right now assume that agentic AI automatically equals a Large Language Model, but Dario De Santis, CEO of Tweelin, argues for a different approach. He suggests that true agentic architecture can function effectively as a digital twin without relying on LLMs by utilizing device telemetry and calendar data to create meaning. This perspective highlights a fascinating shift in enterprise productivity: * Focuses on actionable data rather than generative output. * Reduces the human bottlenecks caused by endless scheduling. * Leverages existing systems to drive faster decision-making. By prioritizing efficiency over generative capabilities, organizations can streamline communication without the unpredictable nature of AI models. How do you see the role of non-generative agents changing the way your team manages daily workflows? #EnterpriseAI #AgenticAI #DigitalTransformation #ProductivityTools #FutureOfWork #TechTrends

The allure of agentic AI often fades when enterprises face a common hurdle: the elusive impact on the bottom line. In this latest #Medium piece, our team at QuantumBlack, AI by McKinsey dives into how true impact is achieved. It’s not just about having cutting-edge tools; it’s about embedding those agentic capabilities into everyday workflows, all underpinned by a seamless enterprise platform architecture. Check out the full article ➡️ https://lnkd.in/gBTnA_Cz Think of the architecture as the "adhesive," integrating internal systems, external solutions, and bespoke capabilities into one coherent, scalable entity. Moreover, it redefines the build versus buy debate. The strategy? Purchase or partner for most components, reserving in-house development for areas that offer true differentiation or control. The aim isn’t to craft a flawless system from day one. Instead, it’s about developing a platform that adapts as technology and market dynamics evolve. How do you see your organization navigating this shift? #AIbyMcKinsey #AI #AgenticAI

The future of AI is shifting from just “better LLMs” to “better knowledge architecture.” Traditional RAG works for Q&A, but Agentic AI needs memory, structured context, orchestration, and pre-compiled knowledge layers to act intelligently at scale. Fascinating insights on where enterprise AI is heading next. Credit: VentureBeat #AgenticAI #RAG #ArtificialIntelligence #LLM #AIArchitecture #EnterpriseAI #ContextEngineering #GenerativeAI #KnowledgeGraphs #AIInnovation

RAG and Agentic AI are often discussed together, but they solve very different enterprise problems. While RAG helps AI systems retrieve and ground responses using enterprise data, Agentic AI focuses on autonomous decision-making, workflow execution, and multi-step reasoning. The real question for enterprises is not which trend is bigger, but which architecture actually fits their business needs, governance requirements, and operational complexity. In this insight, we break down the practical differences between RAG and Agentic AI, where each approach works best, and what enterprises should realistically build today. 👉 Read the full insight: https://lnkd.in/e2gui_gn #RAG #AgenticAI #EnterpriseAI #GenerativeAI #GoogleCloud #AIAgents #AIArchitecture #VertexAI #AIinProduction #D3VTech

Enterprises today operate across fragmented AI systems, analytics layers, operational platforms, and knowledge ecosystems, all generating massive intelligence signals. But very few can synthesize them into unified strategic thinking. That’s where Waydone AI is building differently. Not another automation stack. Not another reporting layer. But a cognition architecture designed to fuse enterprise context, reasoning, and decision intelligence in real time. In the AI-native era, competitive advantage will belong to organizations that can orchestrate intelligence , not just collect data.   The future enterprise will run on contextual reasoning engines, not disconnected software stacks.   #AINative #EnterpriseAI #CognitiveAI #AgenticAI #AILeadership #StrategicIntelligence #FutureOfWork

Adopting sovereign AI is a strategic priority for organizations. This was the starting point of Aldo Bisio’s (CEO of the Engineering Group) speech on the Main Stage of AI WEEK. A governable and secure AI enables companies and public administrations to protect critical data, leverage their know-how, and ensure compliance and competitiveness. These principles underpin Engineering’s AI strategy through the IS-IA architecture: transparent, auditable models that comply with the AI Act—such as EngGPT 2—designed to enable controlled innovation and generate value across key sectors. 👉 Learn more in the first comment! #AI #AIWeek

Watch our founder Laher Khurana A. share how AIVeda is helping enterprises move from AI chaos to AI systems that actually scale. From disconnected AI pilots to fragmented architectures, enterprises are struggling to scale AI effectively. AIVeda’s new approach is built around one goal — secure, scalable, and enterprise-ready AI. 🎥 Watch the full video and explore more #EnterpriseAI #ArtificialIntelligence #GenerativeAI #AITransformation #PrivateLLM #DigitalTransformation #AIInnovation #AIVeda

AI adoption isn't the challenge anymore. Scaling it is. At WinWire, we help organizations accelerate the development and deployment of agents across businesses by combining the power of Agentic AI with our proven 3i Framework (Imagine. Ignite. Impact.) The framework focuses on orchestration, governance, and execution, helping enterprises move beyond pilots and accelerate their Frontier journey with confidence. Excited to see where this goes. If your organization is navigating the path from AI pilots to scale, this is worth your time. https://lnkd.in/dg8eC3rA #AgenticAI #EnterpriseAI #AIatScale #AzureAI #AIGovernance #AITransformation #FrontierFirm #AgenticAIatScale #3iFramework