Executive standards and methodological rigor forged at:
The Blind Spot No One Is Talking About
Major consulting firms audit the model. We audit the human-model interface.
Organizations are deploying AI as if speed and efficiency were the only criteria. But AI hallucinates. It deceives. It produces emergent behaviors no one predicted, not even its developers. And people trust it, delegate to it, and fail alongside it.
The risk is not purely technical. It is not purely human. It lives at the intersection, and that is precisely where conventional audits stop looking.
We don't offer checklists. We offer the kind of analysis that requires actually understanding how AI systems behave, how people respond to them, and what happens when those two dynamics collide.
How We Work
Three ways to address the risk that everyone else is ignoring.
Why Micah 6 AI:
You are not early to AI.
You may be late to understanding it.
The organizations that will navigate this moment well are not the ones that adopted AI first. They are the ones that adopted it with the clearest understanding of what they were actually doing.
We do not offer generic frameworks. We offer the specific, rigorous, and often uncomfortable analysis that organizations need to adopt AI responsibly and sustainably.
Our competitors audit the model. We audit the human-model interface.
Micah 6 AI was founded by Maria Alice Maia, a behavioral scientist, data scientist, and PhD researcher whose work sits precisely at the intersection of human decision-making and artificial intelligence. Her background is not theoretical. It was forged across a decade of executive roles at Itaú, Stone, ABInBev, and Ambev, and sharpened through academic collaboration with UC Berkeley, FGV, HEC Paris, and Oxford.
The cost of misplaced AI trust is not hypothetical. It is accumulating right now.
Let's talk about where your organization is exposed — before it becomes visible to everyone else.