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
Watch one process get fixed.
A made-up distributor with a common problem: customer orders arrive as emailed PDFs, and someone re-keys every line into the ERP.
Step 1 of 4
Connect your systems
Read-only access to your ERP, inbox and shared drive through their APIs. Nothing gets installed on anyone's computer.
Step 2 of 4
See how the work really runs
We map the process from what your systems record, not from a workshop. The steps nobody wrote down show up too.
Step 3 of 4
Get the Priority List
Every step gets a call: automate it, use AI, or leave it with a person. Ranked by what it saves, in dollars.
Step 4 of 4
We build it and run it
The fix goes live in about 30 days. We run it, watch it, and report the savings every week. We'll find at least $50K a year in operating savings, or you don't pay.
Sample company. Illustrative numbers.
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.