Dimensions overall score 8.0

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• The agentic AI framework achieves high accuracy across core disruption monitoring tasks, with F1 scores between 0.962 and 0.991.result 95%
• The system performs full end-to-end disruption analyses in a mean of 3.83 minutes at a cost of $0.0836 per disruption.result 95%
• The framework reduces disruption assessment response time by more than three orders of magnitude compared to industry benchmarks of multi-day, analyst-driven assessments.result 90%
• The system successfully demonstrated operational applicability in a real-world case study of the 2022 Russia-Ukraine conflict.result 85%
• The framework comprises seven specialized agents powered by large language models and deterministic tools that jointly detect disruption signals from unstructured news.method 90%
• The system can map disruptions to multi-tier supplier networks and evaluate exposure based on network structure.technical 90%
• The system might not fully account for novel, unseen types of disruptions and requires human oversight to mitigate potential errors from AI hallucinations.limitation 85%
• The framework was evaluated across 30 synthesized scenarios covering three automotive manufacturers and five disruption classes.method 90%

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