BeijingMay 14, 2026 /PRNewswire/ — Currently, state-owned asset supervision imposes rigid requirements on central and state-owned enterprises (SOEs) for “full-level penetration, full-business traceability, and full-process risk control.” However, most enterprises still rely on traditional models such as report collection, manual verification, and post-event rectification, which suffer from shortcomings like data fragmentation, low efficiency, lagging risk detection, and difficulty in closing rectification loops. Existing products on the market mostly remain at the level of “reports plus rule-based alerts,” lacking deep penetration and real-time predictive capabilities, making generational upgrades in regulatory capacity urgent.
iSoftStone has long been deeply involved in the fields of state-owned asset supervision and enterprise digital intelligence, gaining a profound understanding of regulatory pain points. Building on the penetration-based supervision platform released earlier this year, and leveraging its proprietary full-stack AI technology foundation, the company has deeply integrated world-leading ontology-driven architecture and AI-native core to create a new-generation intelligent penetration-based supervision platform—this is not a simple reporting tool, but a generational leap from “report collection plus manual verification” to “real-time alerts plus closed-loop management,” achieving an intelligent supervision closed loop that integrates “data penetration, process penetration, and responsibility penetration,” providing solid support for compliant operations and risk prevention in central and state-owned enterprises.
I. Architectural Innovation: Ontology-Driven + AI-Native, Reconstructing Regulatory Core Capabilities
The platform adopts an ontology-driven architecture, benchmarking against international top-tier regulatory technology standards while deeply adapting to the regulatory semantics and management systems of domestic central and state-owned enterprises. Through enterprise-level ontology modeling, it achieves full data integration across systems, business types, and hierarchies, building a panoramic digital twin view of the enterprise, enabling real-time monitoring of operational status, intelligent prediction of risk trends, and fully explainable, traceable, and compliant AI decision-making throughout the process.
Relying on the AI-native core, it is equipped with a multimodal intelligent algorithm engine, incorporating hundreds of regulatory indicators and over thirty types of mature risk control models. It can accurately identify high-frequency risk scenarios such as hidden related-party transactions, false trade, financing-oriented trade, loss of control over subsidiaries, and unauthorized affiliations, penetrating equity chains, fund flows, business transactions, and personnel relationships across multiple layers, making implicit risks explicit and fragmented clues chain-based.
II. Full Coverage: Full-Domain, Full-Level, Full-Process Penetration Control
The product comprehensively covers key state-owned asset supervision areas including investment, property rights, financial accounting, financial operations, procurement and supply chain, contract management, overseas operations, and compensation and human resources, achieving full-level, full-business, full-element, and full-process penetration supervision from the group to all subordinate subsidiaries, from surface-level reports to underlying business operations, and from static data to dynamic behavior.
It truly enables higher-level entities to clearly see, effectively control, and trace back lower-level operations, breaking down data silos between business, finance, and supervision, forming an integrated supervision framework that spans horizontally to the edges and vertically to the bottom.
III. Dual-Center Empowerment: From Passive Compliance to Active Risk Prevention
The platform establishes two core operational centers to form a complete risk control closed loop:
Penetration-Based Supervision Operations Center: Integrates regulatory radar, risk ratings, intelligent clue decomposition, penetration tracing, and automatic evidence chain generation, enabling one-click drill-down into abnormal transactions and one-click identification of problem sources, significantly reducing manual verification costs.
Risk Prevention and Simulation Center: Aggregates industry risk rules and case libraries, supporting simulation exercises for various complex violation scenarios and risk sandbox drills, helping enterprises preemptively identify hidden risks and improve internal control mechanisms, achieving a shift from “post-event rectification” to “pre-event prevention and in-event control.”
IV. Delivery and Implementation: Exclusive FDE Service Model, Adapting to Enterprise Long-Term Operations
Adopting the FDE full-chain deep integration delivery model, it covers the entire process from light consulting diagnosis, ontology adaptation modeling, data integration and governance, algorithm model iteration, trial operation and optimization, to handover for normal operations. It collaborates with internal enterprise teams to build a regulatory system, avoiding standardized templates and focusing on scenario-specific adaptation, ensuring the platform is usable, effective, and continuously evolving, while accumulating enterprise-specific regulatory knowledge assets.
V. Benchmark Practice: Successful Implementation in Leading Central Enterprises, Highly Recognized by the Industry
Currently, the platform has been successfully implemented in leading central enterprises, establishing a mature and stable full-level penetration supervision system. It achieves full-chain integration of business, finance, and supervision, significantly improving risk identification efficiency, problem handling timeliness, and rectification closure rates. The implementation results have received full recognition from the industry and regulatory authorities.
Leveraging its one-stop service capabilities in consulting, products, data, AI, and ecosystems, iSoftStone has deeply served multiple central enterprises, provincial, and municipal state-owned enterprises. In the future, it will continue to iterate the core capabilities of the penetration-based supervision platform, empowering the modernization of state-owned asset supervision with digital intelligence technology, and helping more central and state-owned enterprises build a compliant, stable, and high-quality sustainable development framework.