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.
Most AI Apps Are Just Workflow Taxes
Why the next enterprise winners will remove broken workflows instead of monetizing them. The difference between an operating layer and an expensive convenience overlay.
If AI has not changed the workflow, it has changed nothing
Most AI programs don't transform the business — they decorate dysfunction. A workflow-first model for where AI rewiring actually has to start: the work, not the model.
Business process re-engineering took 180 days. AI can rewire a company in 30.
The original reengineering instinct was right. The cycle time was fatal. AI changes that — but only if the company makes its work legible. A 30-day model for AI-enabled business process rewiring.
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.