Buy an AI Trade Compliance Tool? Or Build One in-House? 

Regulatory agencies are already aggressively leveraging AI tools and the financial stakes of falling behind are immense. Annually, companies face $8.4 billion in missed savings and $3.7 billion tied up in costly customs detentions. There have been $51 billion worth of fines for customs penalties as of 2026.

AI offers robust solutions across several critical compliance areas. Key applications include product classification and intelligence, supporting forced labor screening, and streamlining research and documentation. However, August emphasizes a foundational rule for deploying these technologies: they must always operate with a “human in the loop” to ensure final accuracy and accountability.

The Problem With Being Probabilistic

Furthermore, the underlying technology plays a role. Conventional large language models (LLMs) are probabilistic, meaning they simply predict what word, phrase, or numbers is most likely to come next. Across all scenarios, these probabilistic determinations are often accurate, but for a niche, highly detailed subject like trade compliance, this method introduces unacceptable risks. Purpose-built AI, on the other hand, comes equipped with the strict guardrails required for regulatory environments.