The most common mistake businesses make with AI isn’t choosing the wrong model or the wrong vendor. It’s automating a broken process and expecting AI to fix it.
The discovery phase nobody wants to do
Before writing a single line of AI code, you need to understand what your team actually does. Not what the process document says — what actually happens day to day.
Map first, automate second
We always start with a structured discovery sprint. We interview the team, observe workflows, identify bottlenecks. Only then do we decide where AI fits — and where it doesn’t.
When AI isn’t the answer
Sometimes the best recommendation is to fix the process before adding AI. A well-designed manual process will outperform a poorly designed automated one every time.