I'm dealing with a really complex, heavily customized SAP setup that has been neglected for years. We've got a lot of messy ABAP code, Access applications awkwardly patched into workflows, and outdated logic that's been around since the early 2000s. Our leadership is pushing for a 'clean core' SAP and wants to modernize, but the standard approach seems to involve 18 months of consulting and starting from scratch, which isn't ideal. I'm curious if anyone here has effectively used AI to help speed up this process, particularly in aspects like translating old business logic, spotting redundant customizations, and supporting modernization without causing chaos. I'm not very experienced with LLMs, so I'd really appreciate any insights or experiences you all might have!
3 Answers
If your goal is a clean implementation, consider having your business development team document processes first and then build from scratch. It also helps to keep things modular since you'll likely need to adjust over time. I recently revamped a core process and had to deal with surprises just a day after implementation.
Using AI on a legacy system like SAP can be a wild ride! I mean, I admire your ambition, but you might want to rethink; it’s complex. Honestly, if you're not well-versed in the intricacies of the system, it might be worth having a consultant guide you through. They can help formulate a clear strategy versus diving headfirst into AI.
Keep in mind that modernizing will likely cost a bundle, maybe tens or hundreds of thousands. Trying to rely solely on AI might not yield the results you want. This might be more of a leadership challenge where they need to hire someone experienced in SAP to really get things moving in the right direction.
Exactly! AI can help automate minor tasks, but it won't replace the necessity for human oversight, especially with a legacy system.
So true! SAP is no joke, and unless you have all the documentation straight, it's gonna be tough to navigate.