The market for AI agents interacting with existing software is rapidly growing, indicating a large potential user base. The concept of a translation layer is technically feasible for a small team to develop an MVP relatively quickly, as it focuses on API integration and data mapping rather than complex new feature development. While some tools offer agent integrations, a dedicated, robust translation layer for diverse software types presents a competitive gap. The need for AI to interface with software is universal, making localization straightforward.