Margn was built by two people who have spent their careers inside the organizations that now need AI most. One background in finance and operations: P&L ownership, financial closes, board reporting, PE portfolio work. One background in technical architecture and systems: building the infrastructure that makes complex workflows actually run.

We have been the CFO approving the spend. We have been the COO unblocking the exceptions. We know which steps in a workflow are sacred and which ones are cargo cult. We know what a decision looks like from the inside — not just from a process diagram.

That experience is not a credential we put on a deck. It's the reason the systems we build work differently from what a software team without that background would produce.

What we've done

How we work

We build for the way your team actually works on a Tuesday afternoon when things are moving fast — not the idealized version in a process document.

We start with the workflow, not the technology. Every engagement begins with mapping the actual decision: what information goes in, where the judgment calls happen, what the exceptions look like, and what failure costs. The tool is designed around that map — not the other way around.

We measure success the way operators measure success. Not features shipped. Not model accuracy. The quality of the decisions your team makes, the time it takes to make them, and whether the people who have to use the system actually use it.

We work with a limited number of organizations at a time. That's not scarcity marketing. It's how we maintain the standard of work that the approach requires.