Webinar by System in Motion
Artificial Intelligence is rapidly moving from experimentation to real business transformation. Many organizations start with simple prompts and productivity tools, but quickly face new questions about scaling, risks, governance, and project execution.
In this webinar, we will explore the typical AI journey within organizations, including common pitfalls that teams encounter when moving from initial experimentation to real operational impact.
As a practical next step, we will introduce the AI Project Simulation Workshop, an interactive learning experience designed to help teams understand how to structure and manage AI initiatives effectively.
The workshop is based on the P3.express framework, a lightweight and practical project management method designed to help teams deliver projects with clarity and discipline without heavy bureaucracy. P3.express focuses on essential project management practices such as defining goals, planning work, tracking progress, and learning continuously.
During the workshop, participants will work through a realistic AI project use case: building a document processing solution using generative AI. Participants will follow the project lifecycle step by step using the P3.express structure.
At each stage of the project — from defining the problem, identifying stakeholders, planning iterations, tracking progress, and reviewing outcomes — participants will learn how to use AI prompts to support project tracking, decision-making, and documentation.
The simulation begins with a small AI use case and progressively expands into a larger project scenario, helping participants understand how AI initiatives evolve from simple experiments into enterprise-scale implementations.
This approach allows teams to experience both AI capabilities and structured project execution, preparing them to move from experimentation to scalable and governed AI programs.
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