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Level 2 of 5
Stuck-point
Value With Risk.
AI creates lift. Risk slips in beside it.
Section 01
Description
The wins are real and measurable. So are the side effects: confidential prompts pasted into public models, hallucinated facts cited in client work, vendor lock-in normalized, IP exposed in fine-tuning datasets. Speed climbs while control quietly erodes. The wins outpace the governance.
Section 02
Signals
How to recognize this level on the ground.
- 01Material productivity gains in measured pilots
- 02Shadow AI usage outside sanctioned tools
- 03Incident reports increasing — quality, privacy, or legal
- 04Risk policies that exist on paper but are not in workflows
Section 03
Unsticking
The leadership move that unsticks Level 2: Managing AI Risk.
Managing AI Risk — the leader's job is to make risk concrete and set rules people will actually follow, and to know where the real risks live.
Human Layer
Make risk concrete and set rules people will actually follow.
AI Layer
Know where the real risks live — data exposure, IP leakage, hallucination, quality.