CBP Ruling HQ 350722, IEEPA, and Guardrails for AI — KYG Trade

CBP Ruling HQ 350722, IEEPA, and Guardrails for AI

Webinar: feb 5 2026

CBP Ruling HQ 350722, IEEPA, and Guardrails for AI

  1. 0:00 – Topic Summary and Introduction of Experts
  2. 5:40 – The Key Facts of Ruling 350220
  3. 9:22 – Explanation Of What Ruling 350722 Held
  4. 16:16 – Using Docusign For Powers Of Attorney (POA) Agreements
  5. 17:26 – Which Roles Require a POA
  6. 19:05 – Does an Importer Need a Licensed Customs Broker on its Staff?
  7. 21:10 – Using AI To Extract Information and the Importance of Human Oversight
  8. 28:38 – What Qualifies as Customs Business?
  9. 35:09 – Unprecedented Trade Remedies
  10. 36:50 – IEEPA Refunds & CPAs
  11. 49:30 – Questions
  12. 52:25 – Enterprise AI Adoption Guardrails

Presenters

Anastasia Chumak

Anastasia Chumak

Aaron Ansel, JD

Aaron Ansel, JD

JD, former Head of Duty Spend Management at Amazon.com, former VP of Sanctions at First Republic Bank.

Peyton Montei

Peyton Montei

Leslie Levy August

Leslie Levy August

Third-generation marine insurance and cross-border surety principal within the trade and customs industry.


Smith also discussed the still-unclear nature of IEEPA refunds and what might be the best approaches for attaining them. Smith also discussed the nature of AI tools such as large language models (LLMs) and how to use them in a way that maintains auditability. Overall, the one-hour session surfaced interesting and important insights for importers, trade compliance officers, and executives involved in supply chain management.

What You’ll Learn

Decoding HQ 350722:


A plain-language breakdown of the CBP ruling and what it means for importers, brokers, and tech users.

AI limits:


Learn the difference between permissible AI-driven analysis and activities that constitute “customs business.”

IEEPA tariffs:


How to manage the complexities of IEEPA tariffs and the evolving path to refunds.

Building guardrails:


Strategies for implementing internal controls and governance to ensure your AI inputs and outputs are explainable and defensible.

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