🧐 I came up with the idea for this talk a few months ago. In AI, that already feels like a different era. And yet, many of the real Agentic AI problems are still the same. Agents are easy to demo. 🔸 Hard to run. 🔸 Hard to govern. 🔸 Hard to measure. 🔸 Hard to make useful in everyday work. And most of the time, the model is not the main problem. It’s everything around it: knowledge, data quality, permissions, workflows, observability, adoption, and business metrics. That’s why Agentic AI needs more than agents. It needs an #AIHarness. At Grid Dynamics, we’ve been building and using our own Agentic AI platform internally — learning what scales, what breaks, and what actually helps people get work done… or just gives them more work to do. I’ll talk about this during my session at Data Science Summit: “Agentic AI in Practice: Lessons from Our Enterprise Deployment” 🌴 So… how many FTEs did your AI agent actually “save”?
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Everyone is talking about Agentic AI. But very few people are actually learning how to build with it. From what I see in enterprise conversations: ➕ 80% are discussing Agentic AI. ➕15% are still confused about the basics. ➕ 5% are implementing small workflows. And that is the real gap. ❌ Not intelligence. ❌ Not tools. ❌ Not access. The gap is knowing where to start. Most people jump directly to agents, RAG, vector DBs, MCP, tool calling, evaluation, and production architecture. But the first step is much simpler: ✅ Ask better questions. ✅ Understand one concept. ✅ Build one small workflow. Use Claude to learn step by step. Then convert that learning into implementation. Agentic AI is not about sounding advanced. It is about building systems that can plan, act, validate, and complete real work. The people who will win are not the ones using the most buzzwords. They are the ones building the smallest working version first. Start simple. Learn fast. Build tiny. Then scale. That is where the real AI journey begins. #AgenticAI #ClaudeAI #GenerativeAI #ArtificialIntelligence #AIForBusiness #AIWorkflow #AIAgents #FutureOfWork #PromptEngineering #BuilderMindset
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The future of enterprise isn’t just AI—it’s an operating system for work itself. After a life-altering health scare, Kyle Toppazzini made a decision to build something that could outlive him. The result? Sovereign Ops Corp™ and Sovereign Intelligence, a platform designed to bridge the massive gap between strategic consulting and operational execution. Most enterprises are not short on advice; they are short on the ability to execute at scale. Kyle’s team created an "Autonomous AI Workforce" capable of transforming consulting-grade assessments into actionable deliverables in minutes, not months. Why this matters for the future of work: Built for Discipline: Moving beyond basic chatbots to a system that self-heals, preserves memory, and prevents drift. Global Architecture: Supporting 207 languages and 123 sectors with governance baked into the code. The 100-Year Vision: Creating systems of change that hold across decades, regardless of shifting markets. We are witnessing a shift from "AI tools" to an enterprise-grade AI operating system. Read the full story of the builder behind the vision: 🔗 https://lnkd.in/gjyQcwjy #EnterpriseAI #SovereignIntelligence #KyleToppazzini #FutureOfWork #AI #BusinessTransformation #Strategy #Innovation
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