Our GIT product framework supports end-to-end financial scenarios.
Based on the core scenarios of banking credit business operation, management and risk control, the Credit Management System precisely solves common industry pain points such as fragmented processes, delayed risk prevention and control, data silos, extensive management and compliance pressure in traditional credit business. It supports the high-quality development of banking credit business with full-process digital, intelligent and intensive capabilities.
The Unified User Rights Management Platform is an integrated 4A (Account, Authentication, Authorization, Audit) security management platform built for financial institutions. Based on a microservice architecture and financial‑grade security standards, it integrates identity governance, unified authentication, centralized authorization, and full‑process auditing capabilities. It breaks down identity silos in heterogeneous systems to realize one authentication for full network access, centralized authorization with dynamic control, full traceability throughout the process.
Rongyida Mobile Operation System is a one-stop mobile business platform for financial field operations, built to meet the digital transformation needs of the financial industry. Adhering to the design concept of "develop once, deploy on multiple ends", it is fully compatible with three mainstream platforms: H5, WeChat Mini Programs, and native Android/iOS apps. It supports adaptive landscape and portrait display to meet the interactive needs of financial field operations in multiple scenarios.
The Enterprise Supply Chain E‑Procurement System is an integrated platform for full‑process digital procurement transactions and management, built for large and medium‑sized group enterprises, government institutions, and supply chain service providers.
The Enterprise Customer Information Integration System is a new-generation enterprise-level customer master data management platform for the financial industry. It serves as the core foundational system for banks, securities firms, insurance companies and other financial institutions to unify customer views, break down data silos, meet regulatory compliance requirements, and support refined operations.
The Customer Relationship Management Platform is customer-centric. It integrates ECIF unified customer master data, core business, credit, online banking, risk control and external data, building a digital operation middle platform that integrates customer life-cycle management, marketing, service, sales, analysis and assessment. It covers all financial scenarios including retail banking, corporate banking, securities, insurance and consumer finance, solving industry pain points such as customer information silos, extensive marketing, inefficient services, difficulties in customer manager management and weak data-driven decision making.
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 Intelligent Online Loan Decision Management System is an online-offline integrated full-lifecycle credit management platform built for financial institutions.
The Intelligent Credit Operation System is an enterprise-level intelligent report generation and operation management platform developed for three core scenarios: financial regulatory reporting, corporate financial due diligence, and institutional think tanks.
BBased on big data and AI risk control engine as well as full-process digital capabilities, this system provides a full-link intelligent credit authorization solution for licensed financial institutions including banks, consumer finance companies and microcredit companies, covering customer access, credit evaluation, quota approval and post-loan monitoring. It helps institutions achieve the core goals of reducing risks, improving efficiency, expanding scale and strengthening compliance.
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.
The AI Intelligent Credit Report Writing Assistant System is an AI-powered solution based on self-developed financial vertical large models and knowledge graph technology. Designed exclusively for financial institutions, it automatically integrates data, conducts in-depth risk analysis, and generates reports with one click—reducing report writing from hours to minutes. The system significantly improves credit approval efficiency, strengthens risk identification, and ensures standardized and compliant reports.
The Intelligent Loan Matching Hub Platform is an enterprise-level intelligent credit matching and capital-asset docking mid-platform developed by Git.com.cn for banks, consumer finance companies, microfinance companies and other institutions. Centered on the full-link digitalization of "assets – capital – risk control – operations", it realizes efficient, secure and compliant automated docking between capital providers and asset providers through AI intelligent matching, rule engine, big data risk control and open platform capabilities. It helps financial institutions expand customer acquisition channels, improve loan disbursement efficiency, optimize asset quality, reduce operating costs, and build a sustainable credit matching ecosystem.
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 Smart Credit Card Management Platform is an end-to-end, intelligent, cloud-native platform for credit card marketing campaigns and customer operation management, built for bank credit card centers.
Centered on three core components: front-end applications, report analysis, and back-end data processing, the system builds a full-featured framework covering personnel management, performance measurement, assessment and evaluation, data processing, system control, and mobile support. It consists of eight functional modules to fully meet the performance management needs of retail business.
Powered by AI, the intelligent data governance system establishes a full-lifecycle governance framework to address pain points such as data silos, achieve standardized data control, and help enterprises unlock the value of data assets.
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 Enterprise-Level Data Warehouse Platform is a unified, standardized, scalable and highly secure data infrastructure platform built for financial institutions including banks, insurance companies and securities firms. Centered on full-lifecycle data management, the platform establishes an integrated system covering data integration, cleaning and integration, modeling and storage, service output, and governance control. It supports unified aggregation, standardized modeling, efficient computing and compliant sharing of massive multi-source data, and provides unified data views and high-quality data services for scenarios such as business analysis, risk control, precision marketing, management decision-making and regulatory reporting.
Intelligent Credit Full-Link Management Platform (abbreviation: EasyCRS) is a national-level digital management system for the entire process of financial credit information independently developed by Greatwall Software Co., Ltd. for banking business scenarios.
he Intelligent Credit Limit Management System is a bank-wide unified microservice credit limit management platform exclusively developed by Greatwall Software Co., Ltd. for commercial banks. Centered on the unified credit management regulations of the National Financial Regulatory Administration, it strictly abides by the four unified principles: unified credit subject, unified credit form, unified credit in different currencies, and unified credit recipient. Built on Hadoop distributed architecture and HDFS distributed storage technology, it deeply integrates large model AI technology to establish an intelligent credit limit control system covering all customers, all businesses and all processes of the bank.
The Intelligent Operation and Maintenance Knowledge Base Management Platform is an AI-driven integrated operation and maintenance knowledge middle-office built for financial institutions. It integrates multiple intelligent technologies and provides a one-stop solution for the whole process of knowledge management.
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.
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.