Introduction: What is Agentic AI?0:40 - AI Agents vs Agentic AI: Understanding the Difference1:09 - How Aura AI Uses AI for HR Solutions2:17 - Deep Dive: Agentic Workflows Explained3:37 - Real Example: Building Compensation Structures with AI4:38 - Multiple Agents Working Behind the Scenes5:30 - Model Selection: OpenAI, Llama, Mistral & More6:38 - Choosing the Best AI Model for Your Use Case7:35 - Narrow vs Broad Use Cases in AI8:45 - Engineering Infrastructure for AI Success9:31 - Practical Example: AI-Powered Trip Planning12:20 - Travel Planning: From Manual Search to AI Automation14:19 - How Agents Communicate and Coordinate Tasks16:34 - The Future: How Agentic AI Will Revolutionize Every Company💡 Key Takeaways:✅ Agentic AI uses multiple specialized agents working together autonomously✅ Each agent focuses on specific tasks (job descriptions, market data, flight search, etc.)✅ Different AI models excel at different use cases - no single "best" model✅ Proper engineering infrastructure is crucial for AI accuracy✅ Future businesses will need to adapt from UI-centric to agent-centric approaches🔗 Related Topics: AI automation, machine learning, product management, HR tech, generative AI, LLMs, AI workflows, business automation📢 Subscribe for more content on product management, AI technologies, and insights from industry leaders shaping the future of tech!#AgenticAI #AIAgents #ArtificialIntelligence #ProductManagement #TechInnovation