Field notes from rewiring my company for AI.
CEO of Blockdaemon. Writing publicly about what it actually takes to make a real company AI-first — the architecture, the org changes, what works, what doesn't.
REWIRE: don't automate the mess
A six-step framework for making a real company AI-first. Most enterprise AI is theater layered on fragmented systems. The fix isn't another tool — it's redesigning the company first.
One throat to choke
What institutional buyers really want — and why the question that wins enterprise deals is the same question an AI system needs answered: who owns the outcome, what changed, what is at risk. The institutional test and the machine-readability test are the same test.
What 239% user growth actually means
Inside Blockdaemon's AI adoption curve. The numbers behind a real enterprise transformation — what drove the inflection, what stalled, and why the metrics most companies report are the wrong ones.
I'm the CEO of Blockdaemon. We run institutional infrastructure for digital assets — staking, custody, the critical plumbing — at a scale that makes "just add AI" a non-trivial problem.
Since early 2025, the company's central project has been becoming AI-first. Not chatbots and copilots layered on top. The harder thing: redesigning how the business actually operates so AI can do useful work inside it. I write about that work as it happens — the architecture, the org changes, the metrics, what worked, what didn't.
I also angel invest in early-stage AI, mostly around infrastructure, agents, and enterprise operations.