Two operational priorities that define AI success

Phocuswright research highlights two operational priorities for translating AI strategy into reality: establishing custom evals and strengthening data governance. Generic evals and benchmarks are insufficient; custom evals are needed for specific high-value tasks. Data governance has shifted from a back-office function to a strategic imperative, as AI reliability depends on data quality.