IEEE.org | IEEE Xplore Digital Library | IEEE Standards | IEEE Spectrum | More Sites

2026 GET-AI SERIES: 6 — Enabling Autonomous Operations

#GenAI #AISimplified #GETAI6#EnterpriseData#Agent# #WIE #ContinousLearning

🅿️ Free Parking: Register at the lobby kiosk and enter Gora Datta or Brian Hagerty when prompted. They will be notified and escort you to the meeting room. 🍽️ Dinner will be provided for in-person attendees.

Artificial Intelligence is rapidly progressing from systems that generate responses to intelligent agents capable of reasoning, planning, using tools, maintaining context, and executing multi-step tasks. As organizations move toward agentic AI, the opportunity is no longer limited to helping employees find information—it is increasingly about enabling AI systems to participate in and automate real business processes.

Following our August session on Connecting AI to Enterprise Data using Model Context Protocol (MCP), the IEEE Orange County Computer Society GET-AI Series continues in September with a practical, demo-driven exploration of AI Agents and Autonomous Operations.

This double-feature session begins with the foundations of agentic AI—what makes an AI system an agent, how agents reason and plan, how they use tools, memory, and context, and how to build a simple agent capable of completing a multi-step task. The second session builds on those concepts to explore how autonomous and multi-agent systems can orchestrate complex enterprise workflows while maintaining security, governance, observability, human oversight, and operational reliability.

By combining foundational concepts with architecture patterns and live demonstrations, the September session will help attendees understand how organizations can progress from AI assistance to intelligent, governed autonomous operations.

Session 1: AI Agents 101: Build Your First Intelligent Agent

45 minutes

Through practical explanations and a live demonstration, this session introduces the fundamentals of Agentic AI and explains how AI agents differ from traditional chatbots and standalone LLM applications.

Attendees will explore the core building blocks of an AI agent, including reasoning, planning, memory, context, tools, and actions. The session will then demonstrate how these components work together by building a simple agent capable of interpreting a goal, selecting appropriate tools, executing multiple steps, and returning a meaningful result.

Topics Include

What Is an AI Agent? From Assistants to Agentic AI

Core Agent Components: Reasoning, Planning, Memory & Actions
Tools, Function Calling & Context Management
Human-in-the-Loop Controls and Common Agent Design Patterns
Build and Demonstrate a Simple Multi-Step AI Agent

👉 Takeaway

Understand how AI agents reason, plan, use tools, and take actions—and learn how to build a basic intelligent agent capable of executing a multi-step task.

Session 2: Autonomous Enterprise AI: Orchestrating Agents, Tools & Business Workflows

Building on the agent foundations introduced in Session 1, this session explores what it takes to move from a single AI agent to reliable, governed autonomous enterprise operations.

Attendees will examine architecture patterns for orchestrating agents across applications, APIs, enterprise data, and business processes. The session will explore when to use a single agent versus multiple specialized agents, how agents collaborate and delegate tasks, and how organizations can maintain control through approvals, identity, policy, observability, evaluation, and operational guardrails.

The session will also examine the production challenges that arise when agents begin taking actions—including incorrect tool selection, uncontrolled loops, unreliable outputs, excessive autonomy, and failure recovery—and practical strategies for addressing them.

A live demonstration can showcase an end-to-end autonomous workflow in which an agent receives a business objective, gathers context, selects tools, performs multiple steps, requests approval when appropriate, and completes the workflow.

Topics Include

From AI Agents to Autonomous Operations

Enterprise Agent Architecture: Single-Agent & Multi-Agent Systems
Agent Orchestration, Delegation & Enterprise Tool Integration
Governance, Human Oversight, Observability & Failure Recovery
Production-Ready Agentic Systems with Live End-to-End Demonstration

👉 Takeaway

Learn how to design secure, observable, and governed agentic systems that coordinate tools, data, and business processes to enable reliable autonomous enterprise operations.

About the Organizer

Pradyumna Kodgi
Principal Product Manager | Oracle Health & AI
IEEE Senior Member | Vice Chair, IEEE EMBS – Orange County
Member, IEEE AI Agentic Systems & AI Policy Committees

📍 California, USA
📧 pkodgi@ieee.org
🔗 linkedin.com/in/pkodgi