AI adoption is moving from experiments to business-critical workflows, but token-based consumption introduces a new continuity risk. This post explains why unpredictable AI usage, customer-driven demand, vendor quotas, and lack of fallback planning can turn AI costs into an operational resilience issue.

Most organizations are focused on controlling AI tools. The real risk emerges in how those systems interact with enterprise data and services. This article outlines a governed AI architecture that combines system design with a governance overlay to help organizations scale AI without losing control.