Joseph Johnson

I'm building the operations layer for AI centric companies. Background stuff: - Founded and raised $2m as CEO LedgerUp (YC s24) - Finance director at a few companies, built and sold some automation systems, came from a small town/homeschool/farming background. That's probably why I'm allergic to repetitive menial work. After LedgerUp, I spent some time figuring out why AI automation takes so long to build. Turns out everyone's rebuilding the same thing: context about customers, conversations, and business logic, just scattered across 15 different tools. So I'm fixing that. I work with startups to build AI Operations systems that actually work. Not the kind that look good in demos. The kind where your AI agent knows who your customers are, what they've said, and what to do next (without you manually feeding it context every time). What this looks like: 1. Automated workflows for transcript processing, email management, customer intelligence 2. Context layers that make AI agents useful instead of just impressive 3. Systems that cut automation build time from weeks to hours Right now: - Building toward $1M ARR. Working with companies like DealOps. Trying to prove you can build a real business by making AI operations actually scalable instead of custom every time. If you're rebuilding the same automations for every client or manually prepping context for your AI tools, we should probably talk. The future is systems that remember things so you don't have to.