Amid the digital transformation of the financial industry, KTech remains committed to empowering intelligent upgrades across business scenarios through agile and innovative technological solutions. In 2025, in close collaboration with KBank (China), we successfully launched the AI-driven solution for Corporate Customer Profile and Case Automation, starting with corporate credit business. This implementation has enabled rapid optimization and highly efficient collaboration in business processes.
Focusing on the Business Scenario: An Intelligent Breakthrough in Corporate Credit Customer Profiling and Case Processing
In traditional corporate lending processes, relationship managers spend considerable time manually processing large volumes of unstructured documents—such as customer Information, financial report, and call report. Such tasks not only demand high standards of processing efficiency and accuracy, but also represent a critical link in optimizing customer experience and enhancing business responsiveness.
KTech’s DeepSeek-powered Customer Profile and Case Automation solution directly addresses this core challenge by delivering: Intelligent Document Parsing: Automatically identifies, extracts, and structures information from diverse document types
Contextual Understanding: Accurately interprets business contexts to intelligently populate standardized forms and system fields
Human-AI Collaboration: Retains human oversight by enabling relationship managers to review and correct outputs, establishing an efficient “AI pre-processing + human verification” workflow
Measurable Impact: Dramatic Efficiency Gains
Reduced processing time by 83%
Achieved 6× higher throughput within the same timeframe
Processed over 700 cases within two months of launch, saving approximately 583 hours of manual effort
Agile Delivery: Rapidly responding to business needs and successfully launching within one month
Traditionally, building a comparable system would require at least six months and significant investment. KTech and the project team of KBank (China) worked in close collaboration, driving the project to implementation through a highly agile development model.
Accelerated Development: From requirement finalization to production deployment in just one month
Exceptional Cost Efficiency: Development costs reduced to one-tenth of traditional approaches
Rapid Integration: Standardized APIs and modular architecture enable seamless connection with banks’ existing systems
Collaborating to Shape the Future of Intelligent Finance
Notably, this solution is not limited to corporate lending. Built on a foundation of general-purpose document understanding and business semantic modeling, it can be flexibly adapted to various scenarios requiring structured client data entry—including retail lending, wealth management, corporate account opening, and anti-money laundering (AML) due diligence—offering broad reusability and scalability.
KTech’s AI implementation in banking represents more than just a technical solution—it marks the beginning of a collaborative journey with financial institutions to co-build a secure, compliant, and highly efficient intelligent finance ecosystem. We are committed to moving AI from proof-of-concept to real-world impact, contributing meaningfully to the evolution of smart financial services.
