Note: This is a real case successfully delivered by Savvycom; however, we cannot disclose our client's name to ensure privacy and data confidentiality.
Note: This is a real case successfully delivered by Savvycom; however, we cannot disclose our client's name to ensure privacy and data confidentiality.
Savvycom designed and delivered a Multi-Agent AI FX Assistant for a South Korea-based financial services company specializing in foreign exchange trading. The solution was integrated into the client's existing Mattermost workspace, enabling operations teams to check live FX rates, manage settlement rules, and execute BUY/SELL transactions using natural language commands. The platform enforces strict quoteID locking and admin-controlled approval workflows to ensure every transaction is compliant, traceable, and auditable. Built and deployed within three months, the system significantly accelerated FX operations while reducing the risk of manual errors.
The client is a South Korea-based financial services company with a core focus on foreign exchange trading and currency exchange. Their operations involve a high volume of daily BUY/SELL transactions and real-time rate inquiries, managed by a team that depends on speed and precision. As transaction volumes grew, the limitations of their manual-driven FX workflows became increasingly costly in terms of time, accuracy, and operational risk. They sought a solution that could automate key workflows and integrate seamlessly into Mattermost, their internal collaboration platform, without requiring staff to adopt an entirely new system.
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Savvycom engineered a multi-agent AI system built on LangGraph and GPT-4o, operating natively within Mattermost through natural language interaction. The architecture coordinates four specialized agents, each responsible for a distinct layer of the FX workflow:
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