Operating cadence first, AI inside it.

I run implementation in regulated fintech. AI configured inside the operating cadence, not bolted on top. The interesting work sits between what AI compresses and what compliance keeps manual.

My work follows a small pipeline: scope, architect, configure, run, compound. The goal is that each implementation leaves the operating backbone in better shape than it found it. Regulated-ops judgment first, AI fluency inside the cadence, segmented rollouts over big-bang releases.

Greater Indianapolis, Indiana. Remote by choice: the work travels, and this is home.

• Claude, for the first-draft conversations my notebook used to hold.
• Claude Code, for the work no spreadsheet can compress.
• Smartsheet, the operations backbone, five workspaces deep.
• Firecrawl MCP, schema-first instead of manual sweep.
• Descript, for the video version of the writing.