Section recommends flexible AI inference budgets

The authors argue that enterprise leaders should avoid blunt, restrictive AI cost-management tools like flat budgets, hard spending caps, universal cheapest-model mandates, and centralized agent development. Instead, the authors recommend setting flexible inference budgets based on workflow value, using threshold reviews rather than shutdowns, employing intelligent model routing, and decentralizing agent creation while centralizing infrastructure and oversight. Open article →