AI Agent Integration
Using SWS to expose PeopleSoft data to AI agents, chatbots, and RAG pipelines — field hiding, auto-descriptions, throwaway services, and identity flow patterns.
SWS sits between PeopleSoft and the systems that need PeopleSoft data. The pages in this section document specific patterns we have seen work well in production — what the architecture looks like, which SWS features make it possible, and the trade-offs to plan around.
If you are evaluating SWS for a specific scenario and do not see it covered here, contact Chris Malek — we likely have a pattern for it.
Using SWS to expose PeopleSoft data to AI agents, chatbots, and RAG pipelines — field hiding, auto-descriptions, throwaway services, and identity flow patterns.