AI implementation

How to implement AI in a company without chaos
a guide for operating teams.

A practical order: diagnostic, data, workflows, automations and team adoption.

Practical summary

Start with concrete processes: frequent decisions, repeated tasks and knowledge that is currently spread across people, documents and tools.

Then define data, ownership and metrics. Technology comes last, once the workflow is understood.

AI works best when it stops being a trial and becomes architecture.