Five Questions Businesses Should Ask Before Scaling AI
An AI pilot can look impressive in a meeting and still be unprepared for daily business use. Before expanding access, increasing automation or committing more infrastructure, organizations need to answer five practical questions about ownership, maintenance, cost, quality and trust. These questions are useful whether the application summarizes internal documents, assists customer support or supports forecasting. They shift the discussion from “Does the demonstration work?” to “Can the business operate it responsibly when conditions change?” 1. Who is accountable when the AI system makes a mistake? Every production AI application needs a named business owner, a technical owner and an escalation route. A team should know who can approve changes, suspend a feature, investigate complaints and decide whether a particular use case is too risky. Without that clarity, responsibility can disappear between the vendor, the data team and the business department. Begin with a use-case invento...
