AI can’t fix a process
nobody wrote down.
Most companies have process. Almost none have it written down, and that’s why AI projects stall. Reflex documents how your operation actually runs, connects your systems, and builds the foundation your AI roadmap depends on. Then we show you where AI pays, and build it.
Avg. annualized operating savings identified per diagnostic
Diagnostic to first automations live
Guaranteed operating savings, or you don’t pay
Why AI stalls
Everyone has process. Almost nobody has docs.
Every team we talk to is under pressure to do something with AI. Almost none of them can say where it would actually pay.
The reason is unglamorous. The way work really gets done lives in people’s heads, in spreadsheets, and in the workarounds between systems that never got connected. It was never written down. No roadmap can point at a process nobody has mapped, so the AI project stalls, or it automates the wrong thing.
So we start by writing it down.
How it works
Foundation first, then the fixes
Document
Reflex connects to your existing systems and documents how your operation actually runs — where work moves between tools, where it stalls, where people fill the gaps by hand. No software on employee machines, no surveys. You get a map of your operation that didn’t exist before.
Build
With the operation mapped, we show you where AI and automation actually pay — ranked, in order — and build the fixes. Working, in production, in weeks. Not a slide deck. Running systems.
Run
Operations drift. New hires bring new workarounds, vendors ship updates. We run what we built and keep the map current, so the foundation stays real and the savings compound.
PE Operating Teams
Your value creation plan says “adopt AI.” We’re how the portfolio company actually does it — the operation documented first, then the fixes built and running, on a timeline your IC can underwrite.
Owners Preparing to Exit
Get your operation documented and running clean before a buyer’s diligence does it for you. Fewer surprises at the table, a stronger story, and real savings on the P&L.
Most teams think they’re ready for AI. Then we look at how the work actually gets done.
We’ll find at least $50K a year in operating savings, or you don’t pay.