Frameworks, briefings, and resources from Lozen Advisory for evaluating workforce risk, AI governance, and organizational capacity.
A governance workbook that tests whether your AI-assisted decisions are still traceable to an accountable human — and flags the ones that are not. Built on The Name Standard℠, HAT classifies decisions as Attributed, Nominally Attributed, Fragmented, Unattributed, or Non-Verifiable and summarizes exposure in a remediation dashboard.
Excel workbook · Free download
Download Human Accountability Trace (HAT)AI adoption hides risk. The Power User Trap℠ begins when employees with technical proficiency and deep institutional knowledge become the informal validation layer for AI adoption. They learn the tools first, troubleshoot failures, verify outputs, train colleagues, and absorb the cognitive burden while standard productivity metrics show improvement. The organization sees adoption. It does not see the load. By the time the exit appears in retention data, the institutional knowledge is already gone.
PDF · Free download
Read The Power User Trap℠These tools and materials are provided for educational and informational purposes only. They do not constitute legal, medical, compliance, audit, or professional advice. Organizations and individuals should evaluate their specific circumstances and consult qualified professionals where appropriate.