Greater Sudbury city council has given the green light to an $800,000 pilot program utilizing artificial intelligence (AI) to enhance the review process for building permit applications. The initiative aims to identify issues earlier and expedite processing times without replacing city staff.
The AI technology will serve as an initial screening tool when applicants submit plans through the city’s Pronto portal. It will scan for missing information and potential zoning and building code violations in Greater Sudbury. This proactive approach could provide immediate feedback to applicants, eliminating the usual wait time for staff reviews.
Kris Longston, the city’s general manager of planning and growth, likened the system’s training process to onboarding a new employee. Initially focused on mastering local zoning regulations and permit procedures, the AI is expected to evolve to prevent incomplete submissions, setting a higher standard for incoming applications and potentially accelerating approval times.
Builders, including Morgan Roleau, CEO of the Northern Ontario Home Builders Association, have expressed cautious interest in Sudbury’s AI initiative due to ongoing permit delays. Roleau highlighted the potential for AI to streamline compliance checks but emphasized that it may not address underlying process inefficiencies causing delays, such as human errors and inconsistent requirements.
Experts like Mojgan Jadidi, an associate professor at York University, emphasized AI’s ability to handle repetitive tasks in the permitting process, freeing up professionals to focus on complex decisions. However, Jadidi stressed the importance of human oversight for cases involving nuanced interpretation or conflicting priorities.
Regarding AI’s role in building code compliance, John Lane, president of the Ontario Building Officials Association, noted its effectiveness in flagging clear violations but emphasized the irreplaceable value of human judgment for intricate design assessments. AI’s potential lies in expediting administrative checks, according to industry experts, who also advocated for collaborative efforts among municipalities to streamline planning technologies.
Funded through the Building Permit Revenue Stabilization Reserve Fund, the pilot project aims to assess the AI technology’s impact on optimizing the initial phase of the permitting process. If successful, full implementation may follow, with annual AI licensing fees covered by building permit revenues. Sudbury will evaluate the pilot’s outcomes before committing to broader integration of the technology.