AI-Based Map Approval System
Objective: Construction and engineering businesses regularly lose time and money to a familiar problem — project submissions being sent back by councils over compliance issues that could have been caught earlier. This system was designed to solve exactly that: review every drawing, specification, and supporting document against the applicable regulations before submission, so issues are fixed in-house instead of discovered through a rejection letter.
Methodology: We started with the regulations and the paperwork, not with a generic checklist.
Our development process combined:
- Discovery and Regulatory Audit: Reviewed the client’s council and municipal requirements, past rejection reasons, and existing submission workflow to understand exactly where projects were breaking down.
- Document Intelligence Mapping: Every document type in a typical submission — drawings, specifications, calculations, permits — was mapped so the system knows what to look for and where.
- Compliance Rule Structuring: The applicable regulations and approval criteria were structured into a knowledge base specific to the client’s jurisdiction, so every check reflects real, current requirements — not generic rules.
- Dashboard, Scoring, and Rollout: A readiness-scoring system and live dashboard were built so engineering teams could see, at a glance, whether a project package was ready to file — with a lightweight process for teams to adopt it into their existing workflow.
This ensured every flagged issue was tied to a real regulatory requirement before the system ever reviewed a live project.
Solution: We delivered an AI-powered compliance review platform that moved the client from “we find out something’s wrong when the council tells us” to a proactive readiness check completed before every submission. Every project package is now scanned against the applicable regulations, with missing documents, outdated references, and likely objection points flagged and ranked by severity. Engineering teams get a clear, prioritized action list instead of a 200-page document to re-read from scratch.
Impact:
- A clear readiness score before every submission — so teams know whether a project is safe to file or needs another pass, instead of finding out after the fact.
- Significantly less manual review time — automating the document cross-check frees up engineering hours previously spent reading regulations line by line.
- Fewer resubmission cycles — catching gaps and objection risks early reduces how often projects get sent back for revision.
- A faster, more predictable path to approval — less back-and-forth with councils means shorter, more reliable project timelines.
Technologies and Frameworks: Document intelligence (AI-powered parsing of drawings and technical PDFs), regulatory knowledge-base structuring, compliance classification models, real-time dashboards, and secure enterprise architecture for access control and audit logging.
Document AI & NLP, structured regulatory knowledge base, machine learning classification for gap/conflict detection, cloud-integrated dashboards, secure role-based access and audit trail.