Trust but Verify: Guardrails for AI in Trade Compliance Featuring Analysis of CBP Ruling HQ 350722

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In this timely webinar, Todd R. Smith and Anand Raghavendran will break down CBP Ruling HQ 350722 in plain language and explain what it means for importers, brokers, and trade‑technology users. Attendees will learn how to apply the “trust but verify” principle to AI‑driven compliance processes by implementing practical guardrails, internal controls, and governance structures that ensure AI remains accurate, transparent, and defensible.

 

Special guest, Richard M. Wortman, partner in a national trade law practice, will provide legal insights and perspectives into HQ 350722. Richard will speak to the impact on imports and customs brokers as well as his understanding of CBP’s ruling in the context of rapidly changing technology and the use of AI.

 

The session will focus on:

What CBP clarified—and did not prohibit—regarding AI and automation

The difference between acceptable analytical support and regulated customs business

How tool design, workflow integration, and UI language affect compliance risk

Where importers and licensed brokers must retain authority in AI‑enabled processes

How to prepare compliance programs for increased regulatory scrutiny as AI adoption expands

 

Attendees will leave with a clear framework for balancing innovation with accountability, actionable guidance for evaluating AI‑enabled trade solutions, and a better understanding of how to integrate AI into compliance programs without crossing regulatory boundaries

 

By attending this webinar, you will learn:

  • What CBP Ruling HQ 350722 actually says—and why it matters for companies using AI, OCR, and automation in trade compliance today
  • Which AI‑enabled activities CBP considers permissible versus those that may constitute regulated “customs business”
  • How to distinguish analytical support from entry preparation, and why that distinction is critical under U.S. customs law
  • Where importer‑of‑record and licensed broker authority must remain, even in highly automated compliance environments
  • How tool design, workflow integration, and user interface language can create—or mitigate—regulatory risk
  • Practical guardrails and internal controls that support a “trust but verify” approach to AI‑driven compliance
  • Key questions to ask technology vendors to assess whether their AI solutions align with CBP expectations
  • How to future‑proof your compliance program as regulators increase scrutiny of AI in global trade operations

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