![]() ![]() In 2018, Citi released its first chatbot, called Citi Bot SG, for Facebook Messenger in Singapore. The document could then be searchable with an NLP-based enterprise search application. This would allow the application to automatically recognize each character and copy them into a digital version of the document. In order to create an AI-powered document digitization application, Citi would need to leverage natural language processing (NLP) and machine vision. Part of this involves digitizing millions of trade-related documents each year using an optical character recognition (OCR) component which likely involves machine vision. The initiative is intended to help streamline the manual processes required to review large amounts of global trade transactions while keeping regulatory compliance intact.Ĭiti Global Trade has been progressively digitizing its platform. ![]() Fraud Detection: Leveraging Feedzai’s anomaly detection platform for more accurate risk management.Ĭiti announced a collaborative project with Ernst & Young (EY) and SAS to leverage AI for an advanced risk analytics scoring engine.Customer Service Chatbot and Mobile App: Citi’s mobile app that features a conversational interface for customer service and account inquiries.Document Digitization: Digitizing paper forms for a risk analytics platform.In this article, we cover three of Citi’s AI initiatives and explain how they work: Since 2017, they have published press releases and other announcements of AI initiatives that are both internal and customer-facing. Citi, however, has been relatively open about their current AI initiatives. Banks and other financial institutions can be tight-lipped about how they implement AI technologies within their businesses. ![]()
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