Core Viewpoint - The article emphasizes the implementation of technology-driven measures to enhance compliance management in agricultural insurance, aiming for high-quality development in the sector [1]. Group 1: Compliance Management - On August 26, the Jiangsu Province and City Agricultural Insurance Departments of PICC Property and Casualty conducted a verification of agricultural insurance compliance using technology [1]. - The non-field inspection phase utilized a digital system for thorough examination of underwriting materials, focusing on the completeness of policy elements and authenticity of image data [1]. - Big data analysis was employed to cross-verify underwriting data from the past two years, effectively identifying potential risk points [1]. Group 2: Innovative Inspection Methods - The on-site inspection adopted an integrated "ground and aerial" verification approach, with inspectors visiting agricultural cooperatives to conduct precise boundary verifications using the "Yunzhibao" intelligent mapping system [1]. - Agricultural drones were used for auxiliary verification demonstrations, achieving "millimeter-level" error control in insured area measurements [1]. - The inspection team employed GIS positioning and on-site measurements for dual verification, ensuring consistency among land, map, and numerical data [1]. Group 3: Future Directions - The inspection process, driven by "data running" and "technology empowerment," effectively validated the practical outcomes of the "dual precision" work mechanism [1]. - The head of the agricultural insurance department in Nanjing stated the intention to deepen the integration of "technology + supervision," promoting a shift from scale expansion to quality prioritization in agricultural insurance [1]. - This approach aims to provide a more robust risk guarantee for rural revitalization efforts [1].

Core Viewpoint - The article emphasizes the importance of integrating various supervisory mechanisms, including disciplinary inspection, auditing, financial oversight, and statistical supervision, to enhance the effectiveness of governance and accountability in local government operations [1] Group 1: Optimization of Collaborative Mechanisms - Establishment of a regular communication platform that combines online and offline methods to facilitate real-time sharing of supervisory dynamics and problem clues among departments [2] - Development of a standardized process for transferring problem clues across departments to ensure efficient handling and feedback [2] - Implementation of a collaborative work procedure that clarifies the roles and responsibilities of different departments in the supervision process [2] Group 2: Deepening Daily Integration - Creation of a "supervisory data sharing list" to integrate data from various departments, enhancing the scope of oversight beyond single departmental perspectives [3] - Formation of joint supervisory teams that combine personnel from disciplinary inspection and professional departments to tackle complex issues [3] - Targeting specific issues identified during daily supervision for focused audits and disciplinary actions [3] Group 3: Strengthening Special Coordination - Establishment of a four-party collaborative mechanism for special rectification efforts in areas like public welfare funds and construction projects, ensuring a comprehensive approach to problem resolution [4] - Creation of specialized task forces for major complex cases, integrating expertise from various fields to enhance problem-solving capabilities [5] - Utilization of technology and data analysis to improve the identification of anomalies and enhance the overall effectiveness of supervision [5]