Everyone wants to apply AI to legacy processes. But AI doesn't fix broken workflows. It magnifies their flaws.
I've seen organizations try to automate:
- Unstructured approval paths
- Unclear roles
- Inconsistent data entry
- Outdated policy interpretations
They discover quickly that AI thrives on clarity and good structure. An approval path nobody can draw becomes an approval path an agent can't follow. A policy three offices read three different ways becomes three different answers, delivered faster.
Before implementing AI, ask a simple question:
If this process were perfectly automated tomorrow, would we be proud of it?
If not, fix the process first. AI is a force multiplier, but only when it's multiplying good design.
How we work
This is why our method starts in the field. Stage 01, Discover the work, maps every task and the decisions people must keep before anything gets automated.