Hamilton, Ontario uses an AI tool to pre-screen building-permit applications against zoning setback rules. The city reports a 60% cut in review time, though local reporting credits an identical figure to a parallel staffing pilot.
60 %
Reported cut in building-permit processing time (city-reported, not isolated from a concurrent staffing pilot) (2023-2026)
Details
Maturity
Pilot
Promoter
City of Hamilton (Ontario)
Period
2023–2026
Keywords
urban planning, permitting, municipal services
Context
Since October 2023 the City of Hamilton, Ontario has run a cross-departmental pilot spanning Planning, Public Works and the City Manager's Office, convened under city manager Marnie Cluckie, to speed up building-permit reviews, which it announced publicly in April 2025.
Objectives
The aim is to speed up review of building-permit applications for single-detached houses and townhouses by using AI to pre-screen submissions against zoning setback rules.
Activities
An AI tool performs an initial zoning check, comparing submitted data such as setback measurements against city zoning rules and automating repetitive data-entry tasks, before a human planner reviews the file.
Results
The city reports a 60% cut in permit processing time, but the same local reporting also attributes an identical 60% reduction to a separate 'All for One' pilot that gives applicants a single staff point of contact, currently limited to affordable-housing applicants, so the AI tool's specific share of the improvement is not isolated.
Conclusions
Neighbouring Kingston, Ontario announced its own AI permit-review tool in 2026, an early sign the approach is spreading regionally even though Hamilton has not yet published an independent evaluation isolating the AI component's contribution.
Implementation
Indicative cost
Low (< €50k)
Time to results
Medium (1–3 years)
Staffing & skills
City of Hamilton Planning department, Public Works, City Manager's Office (city manager Marnie Cluckie), manager of site planning Sean Kenney
Conditions for success
Cross-departmental convening under the city manager's office
Combined with a parallel staffing/process-change pilot ('All for One') giving applicants a single point of contact
Common failure modes
AI-specific contribution not isolated from the concurrent staffing pilot
No independent published evaluation methodology
Currently limited to single-detached houses and townhouses only
Commonly funded by
Own resources / municipal budget
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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Data sources
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