Three Ways Operational Debt Will Break Your AI Strategy, and How to Recover

AI adoption is exposing operational debt: outdated processes, disconnected tools, and unclear human-AI decision roles are slowing deployments.

The article highlights three debt types—technical, integration, and partnership gaps—that can make AI programs fragile and harder to scale.

Recovery steps include targeted automation, tighter system integrations, and a tiered operating model that defines when humans or AI should lead.

This matters because AI failures in production are becoming more frequent and expensive, putting ROI at risk unless organizations improve resilience.