AI Is Not Failing. What Executives Need To Know About AI Workflows.

Enterprise AI often stalls because companies try to bolt models onto existing SOPs instead of designing explicit agent workflows.

The article says production AI needs context, permissions, error handling, escalation rules, and human oversight built in from the start.

Surveys cited show slow enterprise payback and low production adoption, with tooling gaps, security setup, and added complexity as major blockers.

The core point: scaling AI depends less on model quality and more on workflow redesign, governance, and access controls.