The Maharashtra government has introduced an artificial intelligence-driven Building Proposal Management System for the Brihanmumbai Municipal Corporation (BMC), aimed at simplifying and improving the building approval process. Chief Minister Devendra Fadnavis unveiled the platform during the inaugural session of Mumbai Tech Week 2026 on Friday.
Speaking about the initiative, BMC Commissioner Ashwini Bhide said the system, named CIVIT TWIN, has been designed to help architects submit building proposals with greater accuracy, reducing errors that often lead to delays and additional costs. According to her, nearly 60% of proposal rejections can be avoided through the new mechanism.
“It simulates the full BMC scrutiny outflow before the application is submitted by introducing 12 specialised AI agents at different levels of the submission process,” Bhide told the press.
The AI-powered platform reviews all documents uploaded by applicants, identifies missing paperwork, recommends corrections, and guides users through the resubmission process. It can also analyse architectural drawings, flag deviations from applicable regulations, and advise applicants on compliance requirements. In addition, the system can interpret city survey maps, GIS data, zoning regulations, and historical records relevant to a project.
Highlighting Mumbai’s land constraints, Bhide noted that redevelopment remains a critical focus area across the city. She said the BMC has received more than 8,000 building proposals, of which approvals have been granted for around 40 lakh square metres of development.
Mumbai’s redevelopment framework is particularly complex due to 27 additional Floor Space Index (FSI) regulations layered over base development rules. Factors such as railway corridors, metro networks, airport funnel zones and Coastal Regulation Zone (CRZ) restrictions further complicate redevelopment projects.
A typical redevelopment proposal requires approvals from 25 departments and scrutiny of nearly 60 documents. CIVIT TWIN’s 12 AI agents can generate up to 10 concession-related insights for each project, while also identifying zoning classifications, site-specific constraints and the no-objection certificates (NOCs) required for approvals.
Source: NDTV Profit
