“We build what others promise.”
Why C728 Systems
Quiet operations. Loud results.
We built C728 Systems because most automation feels like theatre. Incredible demos, dramatic AI claims, and then silence when it came to producing real results.
Our rule has never changed: if it doesn't save measurable time or produce real revenue, it doesn't ship. We design automations like critical infrastructure - documented, observable, and easy to run.
We're not here to just hand you another generic "product". We're here to help you actually achieve your business goals.
Corey Shepherd
Founder
“AI and automation systems have come a long way in such a short time, enough to genuinely reshape how businesses run.
But I kept seeing the same thing: most of what's out there is built to impress, not to work. Everyone had incredible demos, big claims, and then went silent when it came time to actually generate results.
We started C728 because I was tired of seeing that wasted potential. I wanted systems that just work, day in, day out, quietly making life easier, more efficient, and actually worth the effort.
We aren't here to sell hype. We're here to generate results that make a difference.”
What we refuse to compromise on
- Every automation is diagrammed + documented
- Live dashboards showing real results, not vanity metrics
- Support that is easy to understand
- Systems that are launch-ready inside 7 days
(for qualified scopes)
How we work
We discuss your business goals, bottlenecks, revenue leaks, and success metrics.
You receive an easy to understand plan outlining automations, tooling, hours saved, and safeguards. You sign off and we get to work.
Done-for-you, done-with-you, or templated handoff - the same reliability, just tailored to how you want to operate.
Day 3 demo. Day 5 real data testing. Day 7 live with documentation and monitoring. If we miss the window, month one is on us.*
*7-day guarantee available for scoped projects discussed on the initial call.
Ready to automate with precision?
Cut 15+ hours per week, eliminate human error, and finally see the numbers that prove it.