1
Find the drag
We sit next to the operators, watch a week of real work, listen for the places
things slow down or quietly get retyped. The drag is usually somewhere boring: an
approval chain, a list nobody finishes, a handoff that only works because one
person remembers.
2
Choose the right lever
AI isn't always the answer. Sometimes a workflow needs an integration. Sometimes
an automation. Sometimes a process change. Sometimes a person to own it. We pick
whichever combination is smallest and actually fits the problem.
3
Pilot one useful slice
Build the smallest version that proves the workflow actually works. One slice.
If it lands, the next slice is easy to choose. If it doesn't, the loss is small
and the lesson is real.
4
Measure what changed
Watch the numbers that matter to the business. Capture rate. Response time.
Hours saved. Revenue the business wasn't catching before. If those move, we
build outward. If they don't, we adjust before anything gets scaled.
5
Implement what proves out
You own the system the moment it ships. Training, documentation, the keys, all
yours. We stay around as long as that's actually useful and step back the moment
it isn't.