ANAWAZ / Engineering insights
AI & Automation
Practical perspectives on building, modernizing and operating technology.
An AI project is ready to build when the team can explain what success looks like, which data it may use and who will handle the output when it is wrong. Choosing a model is part of the implementation. These[...]
Automation works best when the process it serves is understood. If a team spends hours moving information between systems, the first question is not which tool to buy. It is why the handoff exists, which rules govern it and what[...]
They solve different problems and are constantly confused. One changes what a model knows, the other changes how it behaves. Most business cases need the first.
The AI projects that fail in production usually fail for the same reason. Here is the property that predicts success, and the use cases that have it.