Are AI Projects Different? What Business Analysts Need to Know

When you join an AI team, it can feel like all the usual rules go out the window. The technology is new, the pace is fast, and it’s easy to assume that standard business analysis processes no longer apply. That mindset is exactly why so many AI initiatives turn into “cool demos” instead of solutions that deliver real business value. In this video, I answer a question I hear often: Are AI projects different, and does the BA process still matter? You’ll learn why clarity and alignment are even more critical in AI work, and how steps like defining business objectives, understanding the current state, and scoping before modeling can be the difference between hype and results. I’ll also show you how simply asking, “What problem are we solving, and what outcome do we expect?” can immediately position you as a leader on your AI team. If you’re a business analyst wondering how to stay relevant in an AI-driven world, this will help you ground your work in value, not just technology. And if you want a simple way to start applying this, grab our free Scope Statement template on the resources page, just follow the link in our YouTube channel bio to find it, or use this link: https://www.bridging-the-gap.com/scope-statement-template/