Owning an AI Business Case in Your Organization
Practical advice and examples on how studios can own an AI business case internally, and manage leadership expectations and mandates.
Building an AI business case internally is one of the most common challenges facing ecom and creative teams right now. In this session, Pixelz CMO Katrine Rasmussen is joined by Chief Growth Officer Brian Guidry, who has spent the past year talking to hundreds of brands about scaling GenAI workflows, to walk through a practical framework for getting started. They cover:
- Why the financial model is just the starting point and what else needs to be in the room when you present your business case
- Which AI workflows are the easiest to implement and where the low hanging fruit actually is
- How to think about legal considerations, model rights and company stance before going live
- What change management really looks like when moving from physical to digital workflows
If you are building an AI business case or trying to figure out where to start, this session gives you a clear, practical framework to work from.
Webinar from May 2026
Katrine Rasmussen
CMO
Brian Guidry
Register for Webinar
Here is what you will learn
1
Building an AI business case starts with the financials, but that is only the foundation. The brands that successfully push AI workflows live are the ones that also come to the table with a clear picture of what needs to change internally, from legal and model rights to change management, workflow redesign and art direction.
2
Before jumping straight to AI campaigns or full PDP model workflows, it is worth considering the workflows that are already within reach. Relighting existing assets, generating video from stills or producing flat shots from on-model images are practical starting points that deliver real value without the complexity of a full implementation.
3
AI implementation is as much a change management challenge as a technical one. The skills may already exist within your team, but the day to day reality of working with AI workflows is fundamentally different from what those same people were doing before, and that transition needs to be planned for.