How to Evaluate Whether Your Company Is Ready for AI
AI readiness is less about ambition and more about foundations. Before investing in models, evaluate your data, your use case, and your ability to act on results.
Foundations before models
Enthusiasm for AI often outpaces readiness. The most important question is not which model to use, but whether the underlying data can support reliable results.
Clean, connected, well-defined data is the prerequisite that determines whether any AI effort succeeds.
A grounded evaluation
Start with a specific, valuable use case rather than a general desire to use AI. Assess whether you have sufficient history, adequate quality, and a clear way to act on predictions.
AI and predictive outcomes depend on data quality, available history, business context, and the suitability of the use case. An honest assessment prevents costly disappointment.