AI strategy
AI readiness assessment for founders before automation begins
AI readiness is not a model question first. It is an operating model question.
What a serious AI readiness assessment checks
Before any implementation starts, founders should review four areas:
- whether the target workflow is stable enough to automate;
- whether the underlying data is usable and consistently structured;
- whether one team clearly owns the process and the outcome;
- whether success can be measured in time, margin, throughput, or decision quality.
The common mistake
Many teams evaluate vendors, models, or copilots before they evaluate internal process quality. That reverses the logic. If the workflow is broken, AI only makes the broken system move faster.
Practical next step
Run an AI readiness audit on one revenue-relevant process. Map the current state, define one measurable outcome, and only then evaluate where AI creates leverage.