Why AI Workflows Fail Without Operating Design?

Reliable AI work depends on more than model selection. This paper examines task intake, context retrieval, instructions, output structure, validation, escalation, and human review as parts of the operating design.

It connects that workflow architecture to RAPID and an outcomes-based approach, then proposes evaluation across speed, quality, and workflow performance. The emphasis is on how model outputs become usable business work.