/9 min read
Building Finance Controls at a Crypto Exchange From Zero
No textbook exists for building institutional finance inside a crypto exchange. I built the playbook across 100+ entities — chart of accounts to Big 4 audit.
Read →INSIGHTS
From the operator's desk.
What we've learned building AI-native finance at institutional scale — and what it means for yours.
Most finance content is written by analysts who've never run a close, or by vendors selling the dream. This isn't that. Every piece here comes from inside production — 100+ entities, 200+ pipelines, the close cycle compressed from eight weeks to under two. The decisions worth keeping, the ones we got wrong, and the operating model emerging on the other side.
WHAT YOU'LL FIND HERE
Zero-Day Close
Continuous close. Period-end automation. Audit-ready ledgers without the eight-week sprint.
AI Agents in Production
What works, what fails, and the gap between vendor demos and a deployment that survives a month-end.
Treasury Automation
Multi-entity cash, FX, and rebalancing at institutional scale — 100% automated, audit-traceable.
Finance Infrastructure
Architecture decisions when one ERP isn't enough. Hybrid engines, deterministic guarantees, human-in-the-loop.
LATEST
/6 min read
What AI Agents in Finance Actually Look Like in Production
Most AI agents in finance are demos. Here's what 200+ pipelines across 100+ entities in production actually look like — and why foundation beats model.
Read →/4 min read
What Is Zero-Day Close — And Why Every CFO Should Care
Your finance team spends weeks closing the books. What if the answer is zero? The operator's guide to continuous close — from someone who cut it by 75% at a top-3 crypto exchange.
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