Operational work accumulates quietly. A recurring report, a research request, a status update, or a process that lives inside one person’s head may seem small. Together, these workflows consume meaningful time and money.
I began treating every repeated piece of work as a system that could be automated. Using ChatGPT work, reusable skills, connected tools, and scheduled automations, I built an AI operating system around my role. These workflows now complete recurring work, prepare decisions, create deliverables, and keep important processes moving. So far, they have removed at least $100,000 in operating spend.
In this session, I will "live code" and show what I did. We will examine real workflows before and after automation, how I captured the context and judgment each process required, where I added human review, and how I measured the financial value.