Using Generative AI as a Co-Pilot in Process Improvement

Abstract

As work continues to evolve, Artificial Intelligence (AI), especially generative AI and Large Language Models (LLMs), is proving essential in augmenting our workflows. This session will explore integrating AI into traditional process improvement practices, demonstrating how it can enhance effectiveness and provide participants with actionable ideas for leveraging these technologies to excel in their fields.The session begins with an overview of LLMs, outlining their capabilities and limitations. Next, we will showcase practical examples of generative AI applications in process improvement, such as refining problem statements on project charters, streamlining data pre-processing, facilitating root cause discovery, improving affinitization sessions, and strengthening change management strategies. This hands-on approach will help attendees visualize how AI can support critical tasks within process improvement.Additionally, we will address common AI concerns, including the safe integration of proprietary information, effective training on AI prompting and usage, and providing systems with context beyond general training data. This segment aims to equip participants with strategies to use AI responsibly while navigating potential challenges. By treating AI as a co-pilot that enhances traditional tools, professionals can drive innovation and efficiency. This session offers participants the knowledge and skills to harness generative AI and LLMs effectively, empowering them to stay ahead in the evolving landscape of work.