Most companies bought AI and changed nothing about how they think. That's why the tools sit there. We start from the other end: what does this business need to be true, and which parts of that can a machine now carry? Then we build only that, measure it, and write down the rules.
Amber Demoya is a growth strategist. Her expertise is the growth levers that scale founder-led companies: finding the few that move revenue, then building them so the business can grow without losing what the founder built.
She holds a bachelor's degree in economics and mathematics from Western Kentucky University, so she starts from the numbers, not the trend. Over twelve years she built revenue engines for other people's companies, $56M+ in client revenue in the last ten, including founder-led brands later acquired by McKesson and Omnicom. She began as a publicist in New York, turning founders into names people know, then ran growth for fast-growing brands. Fortress Lab is that experience pointed at business owners: founder-led, startup-minded, and allergic to tools that don't earn their place.
Everyone has AI now. Not everyone stands out. Amber's book shows business owners and their teams how to get everything they need out of AI while keeping the spark that makes customers choose them. Every chapter ends with an exercise you can do this week.
Every engagement starts with a recorded check. Nothing gets built until we both see the gap, and we'll tell you if there isn't one.
One thing at a time, with a before and after in writing. If the number didn't move, you'll know, and so will we.
People keep the judgment. AI gets the repetition. We write that line down for your firm before we automate anything.
Your work stays yours. Case studies never name a client without permission. Client data never leaves the engagement.