On June 22, during the 'Harnessing Intelligence: High-End Forum on Industry-Education Integration and Enterprise Digital and Intelligent Transformation,' Central University of Finance and Economics and Zhaoqi Supply Chain jointly made the decision to open-source and unveil WorkMate, an exceptional AI work companion. This project, which is spearheaded by Zhaoqi Supply Chain and receives academic backing from the Industrial Digital Finance Research Laboratory at Central University of Finance and Economics, has successfully undergone comprehensive business validation within the plastics industry.

Built upon the Harness Engineering paradigm, WorkMate ensures complete management of AI capabilities through a three-tier control system. This system encompasses an independent operating environment, a policy rule engine, and a manual approval workflow. The platform offers the convenience of one-click deployment and cloud-based management. It seamlessly integrates with widely-used software like WeChat and allows for precise definition of job role permissions. At its heart, WorkMate encodes enterprise management norms into AI rules and converts existing systems into tools that AI can call upon. This empowers enterprises to integrate AI capabilities without having to completely overhaul their current digital systems.

Internal data from Zhaoqi Supply Chain reveals significant efficiency gains. WorkMate has slashed quotation response times from 20 minutes to a mere 30 seconds, report writing times from 4 hours to just 15 minutes, and contract approval times from 1 day to 20 minutes.

The open-source offering of WorkMate encompasses Harness Core, 10 foundational supply chain Skills templates, and the MCP SDK. The aim is to entice more enterprises to give it a trial run, offer feedback, and collaborate in its development. The goal is to gradually establish industry standards and replicate this success in bulk commodity sectors such as non-ferrous metals, agricultural products, and building materials.