AI for Systems Engineering

About the Seminar

AI for Systems Engineering is a practical, intensive, eight-hour workshop on applying AI within established systems engineering practice. AI tools are increasingly accessible, yet accessibility is not the same as effective use, and teams often produce outputs that are hard to trust or to integrate.

Through short presentations and extensive hands-on exercises, participants learn to frame engineering problems for AI, guide the interaction, and interpret outputs so they can be used appropriately within engineering artifacts. The workshop builds real skill in validating and authoring requirements, creating and evaluating alternative architectures, and deriving subsystem requirements, while recognizing the limitations and risks of AI.

Participants use their own preferred large language model, so the learning transfers directly to daily work, and all materials, exercises, and reference content remain available for reuse afterward. The emphasis is disciplined application that strengthens, rather than replaces, engineering knowledge and judgment, with a roadmap from individual use to integration at scale across engineering workflows.

What You Will Learn

• Frame engineering problems and guide AI to useful answers.
• Validate and author system requirements with AI support.
• Create and evaluate alternative solution architectures.
• Spot AI limitations and risks, and keep responsibility clear.

Workshop Agenda

Meet Your Facilitator

John Fitch

Expert Systems Engineering Professional (ESEP), INCOSE

Facilitator · Project Performance International (PPI)

John Fitch brings more than four decades of engineering, engineering management, consulting, and training experience, and was certified by INCOSE as an Expert Systems Engineering Professional in 2012. Across more than 20 years of independent consulting he has focused on decision management, requirements, risk, system design and architecture, and technology roadmapping for clients including Motorola, Northrop Grumman, United Technologies, QinetiQ, and the U.S. Army, spanning defense, aerospace, medical devices, energy, and communications. An innovator in systems engineering methods, he was an early adopter of DOORS for requirements management and created the Decision Driven Design methodology and its decision patterns. He has presented at INCOSE, IEEE, and NDIA, and has taught several thousand professionals to think more clearly, creatively, and holistically — a passion he now brings to PPI.