China launches AI framework to boost industrial adoption

Chinese artificial intelligence researchers have released a new open-source framework aimed at narrowing the gap between rapid advances in AI capabilities and the slower pace of adoption across industries.

Developed by a research team at the artificial intelligence innovation center of the Yangtze Delta Region Institute of Tsinghua University, the Real World AI (RWAI) framework seeks to improve how AI systems are deployed in business environments by standardizing workflows, human-machine interactions and feedback mechanisms.

Focus shifts from models to deployment

Researchers said the AI industry is facing a growing disconnect between increasingly powerful models and their practical use in enterprises. According to the team, the challenge is no longer improving model intelligence but ensuring that AI can be effectively integrated into real-world operations.

The RWAI framework expands traditional open-source efforts beyond software code, incorporating role definitions, workflow design, human collaboration and interaction protocols into a single system.

New platform tests business performance

Alongside the framework, researchers launched an AI Arena platform that evaluates AI solutions based on real business outcomes rather than model performance alone.

The platform measures factors such as operational costs, time efficiency, computing requirements and regulatory compliance. A "challenger-champion" system allows organizations to compete using complete AI solutions that combine models, workflows and team structures.

Winning solutions and best-practice workflows will be made publicly available for other organizations to replicate.

Early industrial results

China Southern Power Grid has already used the platform to improve safety management across infrastructure projects. According to the company, the AI-powered system increased hidden-risk detection rates by around 40% and improved warning accuracy to 92%.

Petrochemical producer Jiangsu Eastern Shenghong also adopted the framework, integrating decades of production knowledge with supply-chain data to build industry-specific AI models. The company said the technology helped reduce unexpected downtime, improve production scheduling and increase operational efficiency.

Expanding enterprise use

The RWAI platform is now being used in applications including industrial forecasting, document review, risk management and research report generation. Researchers said implementations have already been deployed in projects involving several Fortune Global 500 companies.

The team added that the platform will also provide real-world human-computer interaction data to support future large language model development and academic research, as China continues efforts to strengthen its position in the global AI race.