Management is the real constraint on AI
Most AI projects don't fail on the technology. They fail on knowing where to point it.
A company buys an AI tool, wires it into a workflow, and six months later the ROI isn’t there. The instinct is to blame the model, the integration, the vendor. It’s almost never that.
The real bottleneck sits upstream of the technology: knowing which lever actually moves the business — and acting on it in time. That’s a management problem, and AI doesn’t solve it. It amplifies it. Point AI at the wrong process and you just reach the wrong outcome faster.
Where we start
This is why every engagement opens with an audit, not a deployment. Find the constraint with numbers, confirm AI is the right lever, then build. Deploying first is how you end up with a beautifully automated version of the wrong thing.