Articles on AI architecture, fintech, engineering leadership, and building in production.
I wanted to know whether a decision model would be useful to a finance process owner, so I built the smallest thing that could answer that: an accounts payable triage tool that reads an invoice, decid
Every AI risk on the list is individually survivable. The one that isn't is the loop they form — and it closes on a five-to-ten year clock
The web was designed primarily for people.
A technical deep-dive into designing, orchestrating, and deploying multi-agent systems that actually work in production.
Banks are not tech startups.
Your model made 10,000 decisions yesterday. How many were right? “I don’t know” is not a production answer.
Your CFO is about to ask "how much will this cost?" and you need a better answer than "it depends
The graveyard of enterprise AI is littered with brilliant proofs of concept that died on the vine.
After shipping RAG + LangChain in production under PCI DSS, leading a 10-person GenAI team through external audits, and watching three separate “AI-first” initiatives stall on compliance r
Introduction: Why 2026 Is the Defining Year for AI CoEs
The artificial intelligence landscape of 2026 would have seemed implausible just a few years ago.
Moving a single AI agent from a Jupyter notebook to production is an achievement.