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. Custom evals are structured processes to test AI system quality, performance, and reliability; generic benchmarks are insufficient. Data governance has shifted from back-office to strategic imperative, as AI reliability depends on data quality.