The study focuses on innovative approaches to project management in agricultural and processing enterprises (APEs) based on digital platforms and artificial intelligence (AI). The aim of the work is to develop a digital platform to enhance the efficiency of planning, implementation, and monitoring of projects in the agricultural sector. The objectives include assessing the economic and production effects of implementing digital solutions, analyzing the sustainability and environmental indicators of projects, and forming recommendations for scaling the platform. The methodology is based on integrating project management methods, big data analytics, and machine learning. The empirical base includes 120 projects from 50 APEs in Russia over the period 2018-2023. The key results demonstrate a 25% reduction in project management costs, a 30% increase in APE productivity, and an 18% decrease in energy consumption and waste. The proposed digital ecosystem enables the automation of 75% of processes and increases the share of successful projects to 95%. The research contributes to the development of project management and the digitalization of the agro-industrial complex.