From tokens to trust: Sustaining, governing, and defending AI in production

Enterprises are shifting focus from AI piloting to sustainable production, emphasizing governance and defense. Key to this transition is redefining AI economics to measure useful work, not just token costs. Effective governance requires clear policies, audit trails, and intelligent workload routing. Defending AI involves robust safeguards, selective human oversight, and systems designed for potential failures, ensuring responsible scaling and risk containment for AI in real-world applications.