Agentic Workflows Explained: From Tool Calling to Goal-Based AI Agents in Claude, MCP & Salesforce Agentforce
💬 In plain words: Think of an AI Agent like a smart, reliable team member rather than a basic search bar. If you tell a sharp employee, "Prepare for our Q4 customer account review and handle the follow-up tasks," you do not have to micromanage every single mouse click. They understand the big goal, check what data is missing, query your CRM, read the results, figure out the next logical step, pause to ask for your approval before making risky changes, and finish the job. That iterative cycle— Goal → Reason → Act → Observe → Decide → Repeat —is the heart of an Agentic Workflow . ⚡ 1-Minute Summary: Goal-Driven Architecture: An AI Agent is built to pursue a business goal using dynamic reasoning, live context, external Tools , and step-by-step decision-making. The Agentic Loop: Whether you are working with Anthropic's Claude via Model Context Protocol (MCP) or Salesforce Agentforce (powered by the Atlas Reasoning Engine ), the...