You are leading a project to develop a machine learning (ML) solution for a financial services company that aims to automate loan approval processes. The project has reached a stage where the trained ML model needs to be made operational within the company's existing loan processing system. This system is critical for the company's operations and requires high availability, scalability, and compliance with financial regulations. Considering these constraints, which phase of the ML solution architecture is primarily focused on integrating the ML model into the existing loan processing system to ensure seamless operation, compliance, and scalability? Choose the best option.