The financial industry is facing increasing pressure to digitalize and automate its processes. The objective of this Catalyst is to research and develop Robotic Process Automation (RPA) digital employees, integrate artificial intelligence technologies such as optical character recognition (OCR) and natural language processing (NLP), create an intelligent, shared and open RPA intensive management platform, continuously improve the standardization, automation and intelligence of financial operation, reduce financial operation costs, and help improve the quality and efficiency of financial management. The Catalyst will combine financial RPA and OCR capabilities, to improve the penetration rate of RPA intelligent services and the analysis ability of business data in key scenarios, assist people in implementing complex tasks such as planning and decision-making, replace manual repetitive work, collaborate with people and "digital employees", practice "human-machine division of labor" and "human-machine collaboration" from different perspectives and in the production environment, explore the relationship between people and "digital employees", and continue to promote industrial transformation and organizational change. Overall this will accelerate the digital transformation of enterprise management. The introduction of RPA digital employees in the financial scenario covers typical application scenarios such as tax, shopping mall, capital, business travel, and data operation. For example, the implementation of automatic receipt of tax invoices supports the automatic receipt of 10000+invoices per month. The processing time is reduced from 6 hours to less than 30 minutes, and the efficiency is increased by more than 90%.