Our GIT product framework supports end-to-end financial scenarios.
The Global InfoTech Retail CRM platform enables commercial banks to enhance customer experience and refine management practices. By empowering relationship managers, it helps banks achieve competitive advantage in an increasingly challenging market landscape.
The Global InfoTech Corporate Banking CRM platform empowers relationship managers to improve sales capabilities and performance. Through digital, intelligent, and scenario-driven applications, it helps commercial banks gain a competitive edge in a highly dynamic market environment.
The Enterprise Customer Information File (ECIF) system is designed to establish a unified customer information management framework across the bank. It effectively promotes the standardization of customer information, consolidates customer data, and establishes a robust data quality assurance mechanism. The system supports real-time, enterprise-wide sharing of customer information, enhancing the business value of customer data management.
The Unitized Architecture Customer Information System is designed to establish a bank-wide unified customer information management framework. It effectively promotes the standardization of customer information across the institution and integrates fragmented data into a consolidated repository. At the same time, the system establishes a robust data quality assurance mechanism, enabling real-time, enterprise-wide sharing of customer information and enhancing the business value of customer information management.
Designed for securities institutions, the Institutional CRM solution enables enterprise-wide customer information sharing and management of potential clients. It builds customer hierarchies to strengthen strategic client engagement, integrates service resources for sharing, enhances collaborative response with coordinated management mechanisms, and addresses challenges such as opportunity discovery and business matchmaking.
The Intelligent Customer Service System integrates AI technology to enhance service efficiency and customer experience. Core functions include knowledge base management, model training, customer service operations, and customer demand analysis. Supporting functions include system permission management, staff role management, parameter configuration, and batch scheduling.
The Customer Relationship Mapping System is built on the core value chain of “Data Integration – Relationship Mining – Intelligent Decision-Making – Secure Collaboration.” It delivers end-to-end customer relationship management capabilities and precisely aligns with business pain points to provide targeted solutions.
Built on a microservices architecture with front-end/back-end decoupling, the Enterprise Content Management (ECM) System integrates open-source workflow engines and intelligent variable definition tools to enable contract risk control and compliance management.
The Archival Management System supports the complete lifecycle of document management across credit, operations, audit, and administrative scenarios. It covers collection, filing, review, handover, transfer, archiving, inventory, lending, retrieval, storage, and destruction. Key capabilities include seamless integration with business systems, automated filing, unified management of physical and electronic archives, image-based document management, legacy archive processing, archive repository management, and configurable system parameters.
The Integrated Credit Management System is designed to fulfill banks’ requirements for unified customer management, unified credit management, unified risk management, and unified regulatory reporting, while providing comprehensive business management tools that support end-to-end credit operations.Built with a robust data architecture, streamlined process framework, and parameterized configuration capabilities, the system ensures high reliability, stability, and scalability to meet the evolving needs of modern financial institutions.
Optimizes guarantee business management and operations across multiple dimensions—improving risk control, streamlining business processes, supporting decision-making analysis, and strengthening compliance management.
The Inclusive Finance Taxation Scenario Platform is a digital financial services solution driven by tax data and empowered by big data and AI technologies. It is specifically designed to address the financing difficulties and high financing costs faced by SMEs, microenterprises, and individual businesses, providing accessible and affordable financial services for inclusive groups.
With the core objectives of “enhancing operational efficiency, reducing risk losses, and driving digital transformation,” this system is purpose-built for banking operations. It not only meets the regulatory requirements for compliance reporting but also provides the flexibility needed for internal management analysis—helping banks transition from traditional reporting to intelligent decision support.
As an essential component of digital strategy, the Comprehensive Re-Guarantee Business System provides a fully online, standardized, and automated trading platform for re-guarantee departments. It supports the entire business lifecycle, including project initiation, guarantee issuance, fee collection, liability release, compensation, recovery, and connectivity with related systems—featuring data standardization, automated controls, and automated reporting.
In banking, collateral is a core instrument for risk mitigation, and the quality of its management directly impacts credit risk control and asset security.
Starting from practical management needs, this system establishes standardized processes for collateral management, defines data ingestion and collection requirements, and builds a unified bank-wide collateral management framework. It not only meets day-to-day risk management requirements but also ensures full compliance with regulatory authorities.
Powered by AI-driven big data analytics, this system integrates effective external data with internal sources to build models that accurately extract risk signals. By quantifying risk at the customer level, it enhances predictive capabilities. A comprehensive risk warning framework is established around risk reporting, personalized dashboards, risk signal monitoring, and deep integration with credit processes.
Built around workflow-driven design and centered on risk management, the platform leverages a comprehensive tool stack to create an Internet lending operations platform that fully integrates online credit businesses.
The Automated Operations Platform enables automated execution of routine O&M tasks within cloud data centers, including inspections, data collection, batch jobs, changes, and releases. By delivering IT operations, procedures, and deliverables as services, it reduces operational complexity, enhances staff efficiency, and lowers overall management costs.
The Cloud Service Billing Management Platform enables cloud providers to rapidly build operational support systems. It supports enterprise-grade multi-cloud real-time cost calculation, promotes pay-per-use billing, and reduces platform and maintenance costs. For operators managing tens of millions of customers, it also provides personalized customer consumption management services.
This platform helps financial institutions build disaster recovery scenarios and contingency plans for mission-critical systems. It supports customized process flows according to failover strategies, enables automated task orchestration, and ensures successful execution of annual disaster recovery drills—achieving both RTO and RPO objectives.
A comprehensive public cloud cross-platform resource management solution that optimizes cost, operations, and security. It enables enterprises to leverage both private and public cloud advantages, supports global multi-region deployment, and provides a unified procurement channel, centralized resale, dynamic resource scheduling, and integrated O&M management.
An intelligent ITSM platform built on cloud architecture to streamline process management and configuration resource management. It effectively reduces operational costs and improves process efficiency.
The Financial Automation Testing Platform features a modular functional framework designed to address core testing challenges in a systematic and targeted way. It builds a closed-loop automation system covering the entire lifecycle of personnel – environment – cases – tasks – resources.
Developed on Ruimin’s proprietary platform, the Unified Payment Platform integrates foundational development components and a wide range of financial business modules. It enables rapid development of unified acquiring systems, industry application integration, and SDK/API-based payment services—delivering a consolidated acquiring platform.
This platform supports physical bill transactions, ECDS electronic bills, next-generation bill services, and interbank bill trading. It seamlessly integrates with internal systems such as credit, core banking, and e-banking to achieve full lifecycle management of bill transactions.
This platform covers mainstream supply chain financing products widely used in domestic and international financial markets. It addresses the closed-loop management of logistics, capital flows, and information flows in upstream and downstream trade processes. To accommodate the high frequency of innovation in supply chain finance, it provides a series of configurable tools—including business parameter settings, business rule configurations, business model setups, and approval process management. These tools enable financial institutions to expand their services with zero-code customization.
Driven by technological innovation and business-oriented design, this platform provides banks with a contract management solution that is efficient, secure, compliant, and easy to operate and maintain. By deeply integrating functionality with architecture, it helps financial institutions significantly enhance their contract management capabilities in the digital era.
The External Data Integration Platform provides a complete end-to-end functional framework covering data ingestion, management, processing, and service delivery.
With a systematic functional design and advanced technical architecture, this platform addresses critical management challenges in credit card operations. It delivers efficient, accurate, and secure decision support for customer data, making it an ideal choice for the digital transformation of credit card businesses.
This platform consolidates asset-related data and transaction information across business systems. Leveraging big data technologies, it visualizes quality indicators across multiple dimensions through interactive dashboards, enabling intuitive insight into asset quality and performance.
The Intelligent Collection System is an AI-driven bank collection assistance platform designed to process call recordings, evaluate customers’ repayment ability and willingness, and optimize collection scripts. It helps banks reduce costs, improve efficiency, and strengthen risk management.
The Intelligent Operations and Maintenance (O&M) System is an AI-driven solution built on multimodal large models, RAG (Retrieval-Augmented Generation), and knowledge graph technologies. By integrating multi-source O&M data with existing IT platforms (such as ITSM and CMDB), it covers the full O&M lifecycle, including knowledge management, change control, inspection and diagnostics, fault resolution, data interaction, and report generation.The system enables a closed-loop automation of “Perception → Analysis → Decision → Execution → Knowledge Update,” helping enterprises enhance operational efficiency, reduce manual risk, and meet strict compliance requirements in highly regulated industries such as finance.
Positioned as an enterprise-level intelligent report generation hub, the system establishes a comprehensive functional framework that spans the entire data → analysis → generation → application value chain.
The Intelligent Testing Platform is an AI-native testing infrastructure developed by Global Infotech Co., Ltd. for the financial industry. Guided by the principle of “Automation as the foundation, Intelligence as the accelerator,” the platform deeply integrates large language models (LLMs) with modern testing engineering practices. It addresses the core challenges of traditional testing — low efficiency, limited coverage, and unstable quality — and enables a fully intelligent, closed-loop workflow from requirement analysis to test report delivery. Together with the easyFAT 1.0 Automation Platform, it forms a tiered testing solution, helping enterprises transition from manual testing to autonomous, AI-driven testing.