AI Infrastructure. Risk Stewardship.

AI can generate, summarize, classify, and decide. But it cannot be accountable. Accountability requires a human in the loop, which means the engineering around AI systems matters as much as the AI itself, if not more.

Compliance is the collective term for the processes, reviews, and controls that make that human oversight real. The conventional approach distributes compliance across individual judgment: every developer remembers, every PR gets reviewed, every decision point relies on someone knowing the right answer. The compounding cost is high and the failure mode is quiet.

The durable answer is infrastructure. Whether AI-centric or not, we need to be building the platform (or harness, or infra, whatever) so the path of least resistance is the compliant path. When this works, "compliant" stops being a tradeoff or a tax. It's just how the system behaves. But don't solve problems that don't exist, that's how the tax framing sneaks back in.

This site documents my work and thoughts moving toward a future where we internalize the risks posed by AI and build the systems necessary to mitigate them.