The Tension We Navigate
Balancing "AI's breakneck optimal solutions" with "the human eye that keeps asking: is this really sound?"
As AI advances and our business accelerates at breakneck speed, the front lines are flooded with AI-generated "logically optimal solutions." But what is "logically correct" is not necessarily "honest toward society." While harnessing the full power of AI to move faster, we serve as the third line of internal control, continually asking, "Is this really sound?" We push efficiency to its limits, yet in the end we secure trust and provide assurance through a "sense of conviction as human beings." This very tension is our main battleground.
Meet the Internal Audit team
What We Do
This is the work of reading "the real risks" out of vast verification results. While building on AI-driven automated verification, we use the "cross-pollination of knowledge from different fields" that only humans can achieve to check whether the direction the business is heading is right for society, designing defense and offense at the same time.
Why We Exist
The faster an organization and business grow, the more the "quality of human judgment" determines the company's value. We exist to keep a fast-evolving organization and business from straying off the rails of society's "trust."
How We Work
We leave routine data reconciliation to AI, while humans take in the full picture of the business and grasp the structure as a single consistent process from start to finish. We go beyond the frame of "correct answers" that AI derives from training data, deliberately anticipating exceptional cases and orchestrating a "boundary-crossing synthesis." Connecting scattered small signs and gaps, we make the structural issues lurking in the organization visible as a "story of chained events"—this is the unique "design" process we keep refining.
Work Style
We thoroughly automate the work that can be left to AI, so that humans can focus on posing "interesting questions." We value "strategic idling (white space)"—exposing ourselves broadly to knowledge through information exchange with other departments and external networking events. We believe this lets us get ahead of "future challenges" that AI might overlook.
Who We're Looking For
People who, rather than competing on "how much they know," can pose "interesting questions" while mastering AI. We are looking for "explorers of knowledge"—people who don't shut themselves inside their own area of expertise, and who get excited about colliding knowledge from different fields to create "context."
Key Members
Internal Audit Open Positions
No open positions for this team currently. We welcome casual conversations anytime.
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