{"resourceId":"burlington-on-archistar-ai-precheck-part9-15pct-20261106","versions":[{"version":"external-ae26d19f5f894fa99143258810f267f3ab85245f7f5f6fa06273fcd6e3065c44","resource":{"id":"burlington-on-archistar-ai-precheck-part9-15pct-20261106","title":"Burlington, Ont. building department reports ~15% examiner time savings on relevant code sections with Archistar AI PreCheck for single detached homes, plus readiness scores rising toward 85% (vendor case study)","organization":"City of Burlington, Ontario Building Department / Archistar","sector":"Municipal building permitting and plan review","geography":"Burlington, Ontario, Canada","publishedAt":"2026-11-06","publicationDate":"2026-11-06","eventDate":null,"sourceName":"Archistar blog (vendor case study)","sourceLabel":"Burlington's AI Building Permit Review: Better Submissions, Faster Turnaround","sourceUrl":"https://www.archistar.ai/blog/burlington-ai-building-permit-review/","evidenceClass":"vendor-claim","outcomeClass":"emerging","topics":["knowledge-work","operating-model","accessibility-workforce"],"finding":"Archistar's Nov. 6, 2026 case study says Burlington applied AI PreCheck to Ontario Building Code Part 9 low-density housing (single detached dwellings). City data visualized in Power BI showed the department returned applications in 9–10 days while applicants took 15–17 days to resubmit, so submission quality was the bottleneck. Chief Building Official Nick Anastasopoulos estimates about 15% savings on a two-hour process for the relevant OBC sections; the vendor's before/after table claims readiness scores climbing toward 85%+ from roughly 70% completeness. Timeline: three-month pilot completed June 2024; production November 2024; 15–20 applications re-run to validate against examiner judgment; ~20 new applications in 2025–2026 AI PreCheck testing. Examiners moved from checking every result to periodic spot checks; structural, mechanical and exit reviews stay with staff. Expansion toward ADUs, septic, garages and Part 3 is planned.","sledRelevance":"Permitting is in CE scope. This is one of few AI plan-review deployments with a named official's time-savings estimate and a staged trust-building method, useful as a comparator for U.S. AI intake and completeness tools.","evidence":"Vendor-published case study quoting the city's chief building official; small validation sets (15–20 and ~20 applications); no independent evaluation, error rates or cycle-count data.","architectureImplications":"AI PreCheck runs completeness and Part 9 compliance checks before staff review; examiners spot-check outputs; city used Power BI on its permit database for the business case.","governanceImplications":"Staged trust model (check every result, then every fifth, then periodic spot checks) keeps examiners accountable; life-safety reviews explicitly retained by staff.","securityPrivacyImplications":"Applicant drawings are processed by a third-party SaaS platform; the case study does not describe data residency or retention.","caveats":"Vendor-authored; 15% is an estimate for specific code sections, not end-to-end permit time; the 85% readiness figure is a vendor before/after claim; Ontario Building Code context limits direct transfer to U.S. codes.","streamIds":["citizen-engagement"],"roles":{"sales":"Sales framing: the bottleneck Burlington found is applicant resubmission time, not staff review alone. The building official estimates about 15% savings on a two-hour process for specific code sections, from a vendor-published case study with small validation sets. Discovery should ask where permit cycle time actually accumulates, which code sections are prescriptive enough to automate, and how examiners will validate outputs. A bounded engagement is a cycle-time baseline before any AI plan-review pilot. Do not promise end-to-end permit time cuts.","engineering":"Engineering framing: AI PreCheck sits before staff review, flagging completeness and Part 9 compliance on single detached homes, with examiners spot-checking results. Fit depends on prescriptive code sections and machine-readable drawings. Prerequisites include permit-system data for baselines and examiner-labeled validation files. Constraints include jurisdiction-specific codes and third-party processing of drawings. Proof of value should compare AI flags with examiner findings, track resubmission cycles, and measure time saved on named code sections.","delivery":"Delivery framing: adoption is a trust ramp run by examiners, not a switch-on. Burlington moved from checking every AI result to every fifth, then periodic spot checks, while keeping structural, mechanical and exit reviews with staff. The building department owns rollout. Acceptance criteria below are proposals: agreement rate with examiners, fewer resubmission cycles, and documented spot-check sampling. Expand to ADUs or larger buildings only after validation on each new code area."},"roleDetails":{"sales":{"customerProblem":"Incomplete permit submissions drive repeated review cycles; Burlington found applicants took 15–17 days to resubmit versus 9–10 days for city returns.","stakeholders":["Chief Building Official","Plan examiners","Design firms and applicants","Council"],"discoveryQuestions":["Where does permit cycle time accumulate today?","Which code sections are prescriptive enough to automate?","How will examiners validate AI flags?"],"valueHypothesis":"Pre-checks may cut examiner time on prescriptive sections (about 15% claimed) and raise submission quality; unverified independently.","potentialEngagement":"A permit cycle-time and resubmission baseline plus a limited pre-check validation on one building type.","unsupportedClaims":["End-to-end permit time reduction","Transfer to U.S. codes without re-validation","The 85% readiness claim as independent fact"]},"engineering":{"fit":"Fits building departments with high volumes of simple residential permits under prescriptive code sections.","architectureIntegration":"SaaS pre-check before staff review, feeding examiners flags for completeness and Part 9 compliance.","prerequisites":["Permit database for baseline","Examiner-labeled validation files","Digital drawing submissions"],"constraints":["Ontario Building Code-specific rules","Small validation samples","Interpretive reviews stay manual"],"security":"Confirm data residency, retention and access controls for applicant drawings on the vendor platform.","proofOfValue":["AI-versus-examiner agreement on sample files","Resubmission cycles per permit","Time saved on named code sections"]},"delivery":{"work":"Stage AI pre-check adoption by code section with examiner validation and spot-check sampling.","dependencies":["Archistar platform","Permit system data","Examiner capacity for validation"],"ownership":"Building Department led by the Chief Building Official.","skillsAdoption":"Hands-on examiner validation to build trust and address job-loss concerns.","governanceCheckpoints":["Validation gate per code area","Spot-check sampling rate documented","Council reporting on cycle times"],"acceptanceCriteria":["Examiner agreement threshold met before reducing checks","Resubmission cycles fall versus baseline","Spot-check findings logged"],"risks":["Over-trust in AI flags","Vendor claims outpace data","Code changes break rules"]}},"retrievedAt":"2026-11-07T22:12:50-06:00","enrichedAt":"2026-11-07T22:18:01-06:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Positioned as capacity redirection with no job losses; change management addressed examiner fear of job loss through hands-on validation.","procurementImplications":"Pilot-to-adoption path (June 2024) and expansion plans; contract terms and cost not disclosed.","operatingModelImplications":"Shifts effort upstream to applicants and designers by raising submission quality; examiners reallocate saved time to interpretive reviews.","sourceVerification":{"openedUrl":"https://www.archistar.ai/blog/burlington-ai-building-permit-review/","referenceExcerpt":"We’re currently realizing an efficiency gain of approximately 15% on a two-hour process for the relevant OBC sections.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}