Migrating complex applications from commercial databases to PostgreSQL or managed services like AlloyDB often hits a bottleneck with proprietary stored procedures and functions. This manual translation process, typically involving PL/SQL or T-SQL, can be time-consuming and error-prone, delaying modernization projects. Recent advancements in AI, specifically Gemini integrated into Database Migration Service (DMS), offer a solution to this "last mile" challenge. DMS uses generative AI to automate the conversion of these legacy routines into PostgreSQL PL/pgSQL code, significantly speeding up the process and improving accuracy. Unlike generic AI tools, Gemini in DMS analyzes the entire database context for more reliable conversions. It operates within Google Cloud's secure environment, preserving proprietary business logic. The service provides an integrated workspace for reviewing, editing, and validating converted code side-by-side with explanations. This AI-assisted approach streamlines the migration by converting complex logic in days instead of months, allowing teams to focus on application development and performance. By pulling schema context automatically and validating syntax, DMS ensures a structured workflow for reliable code conversion. This enables database teams to maintain full control and validate changes before deploying to staging or production environments. Database Migration Service with Gemini empowers faster, more accurate, and secure database modernization.