In 2019, I made a decision that changed the way I think about Automation, AI Innovation and Governance. At that time, before most companies were thinking about large-scale ML optimization or adaptive decision engines. I moved to acquire the rights to a patent that described something powerful: A closed-loop AI-driven system that presents multiple variations, measures behavioral outcomes, and adapts the next interaction automatically. Back then, it was ahead of the market. Today, it is the market. AI journey optimization, ML routing, dynamic personalization, next-best-action systems. All of these modern AI frameworks rely on the same adaptive architecture described a decade ago. I share this not to talk about IP, but to highlight something more important: Technology evolves fast. Governance almost never keeps pace. This is why I’ve dedicated my work through Max Cybersecurity, Max Ai™, AiM FRAME™, and my national security roles. We are building responsible, transparent, measurable AI systems that protect organizations and the public. We need innovation but we also need accountability. And, we need people willing to stand at the intersection of both. More to come. — Michael A. Echols
Mike, as always you are ahead of the curve. I couldn't agree more. Well said
What did you use for training data and what is the power footprint, Mike?
This is powerful. Being early is one thing - having the conviction to act before the market catches up is leadership. You’re proving that responsible AI isn’t a limitation, it’s the foundation for sustainable innovation. Your work through Max Cybersecurity, Max Ai™, AiM FRAME™, and national security shows what progress should look like: Innovative Accountable Human-centered Excited to see what’s next. 👏🏽👏