As a digital workforce solution, GienBot RPA uses UI element recognition and visual feedback technologies, and integrates capabilities from the Mofashi Machine Learning Platform and the GienGraph Knowledge Graph Platform. It helps enterprises automate business processes and enhance operational management.
Low Execution Stability of Traditional RPA WorkflowsBecause traditional RPA software is non-intrusive, logical discontinuities can occur during workflow execution. The RPA software may be unable to obtain processing results from target applications, resulting in lower execution success rates when exceptions occur and making it difficult to meet the financial industry’s 99.99% software availability requirements.
Limited Business Scenario CoverageTraditional RPA software often cannot support scenarios involving Java applications, C/C++ applications, Internet Explorer and China-developed browsers, or various application software running on Linux. When any single process step is unsupported, the entire workflow may fail to achieve automation.
Long Implementation CycleThe implementation and response cycle for AI-enabled business processes can differ significantly from customers’ expected timelines for RPA projects. As a result, RPA+AI processes may take a long time to deploy, or may ultimately be difficult to put into practical use.
GienBot RPA is a robotic process automation product independently developed by GienTech. Built around industry ecosystems and focused on the financial and broader finance-related sectors, GienBot RPA offers stability, scenario adaptability, rapid deployment, and compatibility with China’s domestic software ecosystem. It enables enterprises to quickly develop, launch, operate, and scale RPA workflows, and has formed specialized bot suites for expense reimbursement, recruitment, payroll calculation, intelligent customer service, data governance, full transaction-flow bookkeeping, and other scenarios.
General Application Areas
Finance and Accounting: accounts receivable and payable, cost allocation, invoice internal control, supplier information synchronization, and sales/purchase orders.
Customer Service: customer data management, customer communication, remote sales outreach, new customer qualification review, and customer risk rating.
Human Resources: recruitment, onboarding and offboarding, employee training, attendance and leave management, and performance appraisal.
IT Services: file permission management, IT asset management, user setup, batch processing, and task automation.
Vertical Industry Scenarios
Banking: bank-enterprise statement reconciliation, bank tax declaration, online credit card approval, fund settlement, customer service assistant bots, and information extraction and recognition.
Insurance: policy issuance and sales, intelligent underwriting, claims services, document submission, clearing and settlement, risk control management, and insurance agency operations.
Securities: automated market opening and closing, intraday monitoring, clearing operations, regular inspection, market risk management, and credit risk management.
Government Services: social welfare, tax processing, fiscal audits, administrative approvals, data synchronization, household registration management, and integrated service-window data entry.
Manufacturing: automatic production data maintenance, procurement management, inventory management, supply chain information integration, and voucher/document management.
Logistics: intelligent data entry, cargo booking, document checking, freight settlement, customs declaration and clearance, goods receipt invoicing, and cashier payment collection.
Process automation robots can accurately execute manual tasks, allowing employees to spend more time on higher-value work, becoming problem solvers and relationship builders.
- Ease of Use
Low-code, componentized design supports automatic workflow generation through element clicks.
- System Stability
By leveraging proprietary visual feedback and human-machine collaboration technologies, the software can achieve 99.99% stability.
- Scenario Adaptability
Enhanced by computer vision capabilities, the platform supports element recognition across a wide range of application scenarios.
- Independent, Controllable, and Trusted Technology
Backed by multiple invention patents, the platform is designed to be independently developed, controllable, and trusted.