Design human review systems, escalation architectures, accountability models, and QA layers around AI-assisted operational workflows. Build the human accountability infrastructure for AI-enabled operations.
Identify exactly where human intervention is required across AI-assisted operations.
Build structured escalation paths for operational risk management and exception handling.
Define operational ownership models, approval authorities, and reviewer assignments.
Design validation checkpoints, verification systems, and review cadences for AI outputs.
The result is a new category of operational fragility: workflows that run autonomously without checkpoints, decisions made without ownership, and AI outputs that ship without verification. This framework solves that.