Agentic Workflows: Moving from LLMs to Autonomous Business Agents

In this session, Harshil Arora, Data Science Engineer at Ksolves India Limited, addresses a shift that is already underway in enterprise AI, but that most organizations are only beginning to understand and act on.

Most companies today are still using AI as a conversational assistant: ask a question, get an answer, move on. That approach has value, but it captures only a fraction of what modern AI systems are capable of. The next evolution is agentic AI, where systems do not just respond, but act. They browse the web, query databases, execute code, and complete multi-step operational tasks with minimal human intervention.

This webinar explores how enterprises are making the transition from passive LLM experiences to intelligent, autonomous agents capable of executing real business workflows. Harshil breaks down the architectural and practical differences between a chatbot and an agentic system, explains how tool-use fundamentally changes the ROI of enterprise AI, and walks through real-world implementation approaches for teams building autonomous workflows today.

Whether your organization is just beginning to explore agentic AI or is already building toward it, this session provides practical, implementation-focused insights for the road ahead.

Key Takeaways

• The shift from passive LLMs to autonomous AI agents, and why it matters for enterprise operations.
• Understanding the core difference between chatbots and agentic systems.
  
• How tool-use, including SQL, web browsing, and code execution, changes the ROI of enterprise AI.
  
• Building autonomous business workflows using AI agents and orchestration frameworks.
  
• How enterprises are approaching AI-driven operational automation today.
• Why companies like Microsoft and Salesforce are investing heavily in agentic AI.
  
• Real-world implementation approaches for teams building enterprise AI automation.