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.

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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
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preprint

MMe-AI: Design and Preliminary Evaluation of a Multi-Tenant Industry-Specific AI Business Operating System - A Real Estate Case Study

Manish Kumar
Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
preprint

MMe-AI: Design and Preliminary Evaluation of a Multi-Tenant Industry-Specific AI Business Operating System - A Real Estate Case Study

Manish Kumar
preprint en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Oldham Council (GB)
Industry, innovation and infrastructure
Scientific Computing and Data Management
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