Most organizations arrive at AI with genuine ambition — and leave
with subscriptions they don't use, workflows nobody follows, and
systems that depend entirely on the one person who set them up.
It's not a technology problem. It's a sequencing problem. Tools
get selected before the system is understood. Automation gets
designed before the process is stable. Speed gets prioritized
over structure — and the result is complexity that compounds
instead of clarity that scales.
That's the pattern we designed our practice to interrupt.