Systems, not guesswork.
A few years ago I watched a $50K deal die in an inbox. Not the product, not the price, not the timing. The lead came in at 11pm, sat for six hours, and by the time someone replied they’d already booked with a competitor. The work was good. The system around it wasn’t.
I spent years running engineering and security teams in fintech, where a missed signal or a bad automation costs real money. The lesson that stuck with me: growth almost never comes from working harder. It comes from building systems that handle the repetitive stuff so people can do the work that actually matters. And building them carefully, so they don’t break or leak when no one’s watching.
That’s what I do now. Through SimplyCubed, my AI automation studio, I build custom AI agents that take over the manual work eating your team’s week. Lead response, support tickets, the internal busywork nobody wants to own. Trained on your data, wired into your stack, live in 2 to 5 weeks. Not a chatbot toy, and not a six-month enterprise slog. Real agents doing real work, built security-first, because after fifteen years in fintech I don’t know how to build them any other way.
Most teams can’t actually say where the time is going, or whether they’re ready to fix it. So start there.
Two free scorecards, three minutes each:
What is manual work really costing you? Get the annual number, in dollars.
How ready are you to deploy AI agents? And what’s getting in the way.