In this talk, Dr. Joseph Geraci—scientist, entrepreneur, and architect of enterprise AI systems—explores the emerging frontier of Agentic AI and its transformative potential in corporate environments. Going beyond traditional machine learning and large language models (LLMs), Agentic AI refers to systems that can autonomously execute tasks, adapt dynamically to context, and orchestrate complex workflows across platforms.

We will explore locally deployed, agent-enabled middleware that allows enterprises to securely harness the power of AI without sending sensitive data to external servers while reducing costs. This talk also demonstrates how agentic systems can be designed to organize, contextualize, and structure internal data assets—making them not only intelligent assistants, but also scalable knowledge managers. Whether used for legal workflows, IT operations, or marketing automation, these agents reduce cognitive overhead while improving consistency, transparency, and decision support.