I Built Two AI Agents to Run My Business Ops. Here’s What That Means for You
What started as an experiment in AI-assisted software engineering has become something much more impactful: Two AI agents, and the launch of a broader effort to build new capabilities for my clients
A few months ago, I started experimenting with AI to see how much of my own daily operational work I could automate.
That experiment grew into an AI software engineering project. About 40 hours later I had two dedicated AI agents running quietly in the background. While I sleep, they connect my apps, sort through data, manage parts of my schedule, and draft content. Every morning I log on to an organized dashboard of work waiting for my review and sign-off.
Simple? Hardly.
The agents run into roadblocks, and I clear them. At the end of the day, the time savings and strategic feedback are remarkable.
My biggest aha! moment wasn’t about the software engineering. It was realizing how accessible this level of support now is for my clients who don’t write code.
Four agent capabilities I can now activate for clients:
Leadership: Delegating without losing control: The agents do the heavy lifting, but final judgment, edits, and approval always stay in your hands
Execution: Turn recurring processes into coordinated workflows that make repetitive work go faster
Research and Action: Agents gather the information you need, answer your questions. You finish it and move on
Team Communication: Connect people and teams to upskill and get everyone excited about working together
Most leaders I talk to don't need another generic AI course or webinar; they're ready to fix real friction points.
My work brings together executive coaching, international leadership experience, and a human-centered approach to organizational change. Building these agents has deepened my technical fluency and expanded the practical ways I can help leaders and teams work, grow, and execute.
Let’s talk about how you work
I’m happy to show you behind the scenes of what I’ve built—including what worked and what completely failed—and look at where AI might realistically fit into your day.
Schedule a 30-minute meeting →
Bring one frustrating bottleneck or recurring task. Leave with a clear sense of whether it's worth handing to an agent. No technical background required.