Turn a concrete business problem into an AI system you can run, verify, and maintain.

WORKING MODEL

Diagnose → pilot → production → support

The first goal is not to “add AI everywhere.” It is to identify one repeated problem, test value and risk in a limited scope, and move into production only when the evidence supports it.

1. 01Define the problem

   Who uses it, what material exists, what can go wrong, and how will the result be accepted?

2. 02Build a paid pilot

   Verify usefulness, accuracy, operating cost, and adoption before making a larger commitment.

3. 03Make it operational

   Add deployment, permissions, monitoring, documentation, and a clear maintenance boundary.