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In this NeuGroup Insights video, AtlasFX co-founder and CFO Scott Bilter describes how an AI model created by the risk management company produced far more accurate exposure forecasts for a multinational client that needs to hedge currency risk for intercompany (IC) transactions between legal entities that combined have some 700 currency combinations and cross-currency pairs. The company, he said, had “a lot of cross-currency exposures that were material, driven by these IC flows that nobody could forecast well. They were trying to, and they were spending tons of time doing it, and the forecast deviation was rather high. So that was just a really good use case for an AI model.” The results were clear. “The AI model was just trouncing the manual one, just time and time again for many exposures,” Mr. Bilter said. This has allowed the treasury team to reduce forecast errors by $3.5 million per month—a 50% improvement—and save more than 300 hours of manual effort each quarter. “It ended up being a great success story,” Mr. Bilter said. “That's just one example; there can be a lot of different ways to apply AI to the split of FX at a company, which a lot of companies don't do well.” Read the full story now on NeuGroup Insights: https://www.neugroup.com/ai-use-case-...