The PAD framework provided us with a clearly defined problem to tackle using GenAI, and helped us create a blueprint for an initial blueprint for the solution. To bring that to life, let's first learn an efficient and structured process to design, test, launch, and scale your GenAI solution.

One of the most critical decisions in your GenAI journey is choosing the right team to implement it. In this module, we will explore the concept of "innovation pods" and why this structure is ideal for implementing GenAI. You'll learn a series of strategies to hire the right talent, assemble innovation pods of the right size and composition, and manage the pods efficiently.

A solution, no matter how powerful, is meaningless if your customers—whether internal or external—don't want to use it. In this module, we'll cover how to design the right customer experience for your GenAI project, and communicate effectively with different types of customers to minimize adoption barriers.

Even after a successful launch, many innovative solutions fail due to a lack of ongoing oversight on the projects' progress and risks. In this module, you'll learn how to track your solution's impact and manage risks effectively. We'll first discuss strategies to track and quantify the impact of your solution has on your business over different time horizons. Then, we'll discuss strategies to assess, track, and mitigate the risk factors unique to GenAI projects. Maintaining this oversight is key to ensuring an enduring success.