Case Studies
Deep dives into the systems I've built, how I approached them, and why they worked.
Unifying an SDLC at a cybersecurity company
When every team has its own process and none of them talk to each other, someone has to build the connective tissue. I was that someone.
The gate that never skips: building the quarterly planning system
A public company's planning ran on gates that stopped nothing and a say-do ratio built on a 'say' nobody disciplined. I rebuilt commitment as a system: three monthly gates, one artifact lifecycle, and enforcement that doesn't need a police officer.
The operating model that survives the reorg: process as data
Every process documented as prose breaks on contact with change: the wiki says one thing, the dashboard implies another, and the truth lives in someone's head. I turned the operating model into a versioned data contract, so change arrives as a config diff instead of a re-briefing.
From 'someone noticed' to 'the system reports': a live delivery dashboard
Delivery risk was visible only when a human happened to spot it between quarterly reviews, and status was self-reported, which means status was negotiated. I built the live operational dashboard leadership actually reads, solo, on approved internal infrastructure, with zero engineering budget.
AI drafts, humans decide: building an AI-native operations practice
When the company went AI-first, most functions used AI harder on individual tasks. I built AI into the operating system itself: encoded knowledge, reusable skills, and governance, so the leverage compounds instead of resetting every chat.