AI can accelerate legacy modernisation. It cannot replace architecture.
Many organisations are looking at generative AI as a shortcut for stored procedure migration. Feed the procedures into a model, convert them into Java, C#, Python or PostgreSQL, and move on.
The reality is more complex.
AI-translated code can look right and behave differently. Performance can collapse when database-optimised logic is moved into application code without redesign. And many of the real business rules are not written clearly in the code at all — they live in production behaviour, historic edge cases and undocumented decisions.
This paper sets out gravity9’s view: successful stored procedure migration starts by creating the right seam between legacy systems and the modern target environment. Once that boundary is in place, AI becomes far more useful — not as a replacement for architecture, but as an accelerator for translation, testing, documentation and bounded delivery.
Learn why stored procedure migration needs more than AI-assisted translation, and how the right architectural approach can make modernisation incremental, testable and reversible.
Complete the form to download the full gravity9 position paper.
