Aerospace
Production
Agentic AI

Automating Export Control classification in a complex regulatory environment

Agentic AI to automate ITAR/EAR classification, ensure regulatory compliance, and accelerate industrial export workflows.

INDUSTRIE
Aerospace
METIER
Production
TECHNOLOGIE
Agentic AI

Contexte

The Export Control policy at Airbus requires the rigorous classification of thousands of items according to international regulations (ITAR, EAR). This manual process is extremely time-consuming and complex, leading to non-compliance risks and logistics bottlenecks. Ensuring classification accuracy is a strategic issue for industrial sovereignty.

Solution

We have developed an Agentic AI system based on expert regulatory databases. Through an interactive interface, the tool analyzes technical descriptions, asks questions to resolve ambiguities, and proposes a precise Export Control classification (ECCN). This engine provides a detailed explanation of its reasoning for validation by experts.

-85%
in classification time
95%
in classification accuracy
-30%
in regulatory risks

Bénéfices

  • Major time savings for Export Control teams, freeing them from tedious tasks
  • Strengthened compliance and reduced classification errors through enhanced reliability
  • Accelerated logistics cycles and long-term security for the group's export flows
Matthieu
Lead Data Scientist

"The challenge was to translate varied technical descriptions into strict regulatory categories. By implementing an iterative dialogue logic, we enabled the AI to resolve technical ambiguities directly with users. This interactive approach has radically transformed the reliability of classification proposals for business experts."

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