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
Two ways to close the gap between what your organization thinks its AI is doing — and what it actually is.
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.
We have no software to sell. No platform to license. No 18-month engagement to pitch. We are independent advisors, which means the only thing we are optimizing for is an accurate picture of your organization's actual exposure.
Our competitors audit the model. We audit the human-model interface.
Micah 6 AI was founded by Maria Alice Maia — behavioral data scientist, doctoral researcher in AI at FGV EBAPE, and former executive at Itaú, Stone, ABInBev, and Ambev.
Her background is not theoretical. It was forged across a decade of executive roles where she saw from the inside what happens when the pressure to adopt outpaces the capacity to understand, and sharpened through academic collaboration with UC Berkeley, FGV, HEC Paris, and Oxford.
Her current research focuses on how organizations are represented in generative AI search, and whether that representation can be governed.
Let's talk about where your organization is exposed - before it becomes visible to everyone else.
Training & Programs: training@micah6ai.com
Review & Assessment: review@micah6ai.com
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