org-level-model-dependency

What problem does it solve?

This Skill helps leaders identify which roles and processes exist primarily to compensate for AI model limitations, so the organization can prepare for model improvements without unexpected disruption.

Core Features & Use Cases

• Model-dependency mapping: Classifies each described role/process as MODEL-INDEPENDENT, MODEL-DEPENDENT (SCALING), or HYBRID using an explicit “80% error-rate drop” diagnostic.
• Klarna risk assessment: Flags over-optimization risk where model boundary shifts could rapidly reduce the need for compensating work.
• Actionable readiness output: Produces a team overview, a dependency map table, and concrete redesign and measurement steps while explicitly avoiding headcount-elimination recommendations.

Quick Start

Ask the AI to run an org dependency audit by mapping your roles and AI-adjacent processes, then classify each one by whether it would still exist if the model’s error rate dropped by 80%.