The Integrated AI-Scheduler Prototype is designed to dynamically optimize and manage job schedul- ing across diverse compute environments, including HPC, cloud, and edge systems. The AI-Scheduler employs advanced algorithms to select the most efficient scheduling strategy based on real-time job and node characteristics. This deliverable outlines the prototype’s implementation, demonstrating its capabilities through simulations and real-world use cases. The report covers the methodologies applied, the tools and models developed, engineering process to validate and optimize the system output and the key achievements made in this phase. The findings showcase the effectiveness of the AI-Scheduler in improving energy efficiency, resource utilization, and job throughput across different environments.