MMe-AI: Design and Preliminary Evaluation of a Multi-Tenant Industry-Specific AI Business Operating System - A Real Estate Case Study
MMe-AI is examined as a multi-tenant, industry-specific business operating-system architecture through its RS Real Estate implementation. A design-science software case study traces client and founder applications, FastAPI routes, tenant-associated data models, operational modules, and configuration-dependent AI and publishing adapters. A public OpenAPI snapshot exposed 94 paths and 110 operations; the founder build passed while lint and environment-dependent checks identified unresolved limitations. No formal user study or production benchmark was conducted. The research manuscript contributes an evidence-traceable architecture and preliminary evaluation while distinguishing implemented, hybrid, mock, placeholder, and unverified functionality.
Authors
- Manish Kumar
Institutions
- Oldham Council (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-17
- DOI
- https://doi.org/10.5281/zenodo.21417039
- Primary Topic
- Scientific Computing and Data Management
- Type
- preprint