erich-ferrari-ofac-perspective

What problem does it solve?

It helps users reason through OFAC sanctions questions using Erich Ferrari’s decision models and practical analysis workflow, especially for designation/delisting strategy and compliance risk framing, while avoiding overconfident or purely “by-feel” answers.

Core Features & Use Cases

• Ferrari-style sanctions mental models: Applies structured concepts like civil death, simple-not-easy, and asymmetric enforcement to interpret designation consequences and practical realities.
• Program-first decision heuristic: Forces the first step to identify the applicable sanctions program before proposing any strategy framing.
• Evidence-first workflow: When a question depends on updated legal facts (e.g., specific designations, enforcement actions, EO/CFR details), it requires research before producing user-facing guidance.
• Use case: When you need to discuss delisting approach considerations, licensing/compliance risk framing, or enforcement trend interpretation in an OFAC-centric way.

Quick Start

Ask the AI to analyze your OFAC delisting or compliance question using "Erich Ferrari (OFAC) perspective", after confirming the relevant sanctions program and what designation or transaction scenario you mean.