How DGXprt replaces interpretation-heavy dangerous goods compliance with structured AI execution — and the real-world outcomes across five deployments that prove it works.
40%+
Non-compliant SDS
rectified
<2h
Manifest docs
generated
Days
Multi-site
remediation
~0h
Manual register
effort
Hours
Consulting effort
saved
The Problem with Interpretation-Heavy Compliance
Dangerous goods compliance requires more than maintaining a chemical register and PDFS of Safety Data Sheets (SDS). It involves extracting correct data from SDS documents, aggregating quantities across hazard classes, determining jurisdiction-specific thresholds, and producing regulator-ready documentation — including manifests relied upon by emergency services.
Traditionally, each of these steps relies on manual interpretation: consultants or one internal staff member working through spreadsheets, cross-referencing legislation, and drafting documentation from scratch for every site. The result is slow, inconsistent, and exposed to human error at every stage.
DGXprt takes a different approach. It embeds regulatory logic directly into operational workflows, replacing manual interpretation with structured AI execution. The five deployments below demonstrate what this looks like in practice.
AI-Driven SDS Validation
Hundreds of SDSs on file — but no way to know how many were out of date or non-compliant. Non-compliant SDSs are a breach of WHS regulations in their own right, and every compliance decision built on bad data carried the same hidden risk.
- → Parses unstructured SDS PDFs
- → Extracts dangerous goods, GHS classifications and other critical data
- → Applies quality indicator against required regulatory fields
Over 40% of SDS documents identified as non-compliant, enabling corrective action using our SDSVerify service with DGXprt to ensure regulatory compliance and reliable data for determinations.
Automated Threshold Determination
Threshold assessments and regulatory obligations determination traditionally require spreadsheet modelling and legislative interpretation — time-intensive, repetitive work that pulls consultants and compliance teams away from higher value activities.
- → Embedded jurisdiction-specific threshold logic
- → Aggregates site quantities dynamically
- → Generates plain-English obligations linked to source legislation
Consultants now determine site-specific regulatory thresholds within hours rather than extended manual assessment, incorporating structured outputs directly into compliance reports.
DGXprt doesn't ask users to write prompts. It embeds regulatory logic into the workflow so compliance decisions execute automatically from validated data.
Manifest Structuring & Validation
Manifest preparation is consultant-heavy and error-prone, particularly in site plans relied upon by emergency services. Gaps in documentation often aren't identified until regulatory engagement, causing rework and delays.
- → Guided manifest generation linked to live quantities
- → AI-enabled validation of required documentation
- → Identification of deficiencies in site plans
Structured manifest documentation was generated in under 2 hours, with site plan gaps identified and corrected prior to regulatory engagement.
Regulatory Remediation
The absence of compliant dangerous goods registers triggered regulatory notices across multiple sites in a high-risk automotive environment — creating urgent exposure that required rapid resolution.
- → Automated register generation
- → Embedded threshold determination
Registers and threshold determinations were completed within days, resolving compliance gaps across a multi-site automotive network that had triggered regulatory notices.
Continuous Register Automation
A logistics operation manually rebuilt its dangerous goods register weekly using Excel exports from its Warehouse Management System, requiring several hours of repetitive work and introducing risk of human error with every rebuild.
- → Drag-and-drop ingestion of WMS inventory output
- → Automated mapping to dangerous goods classifications
- → Real-time register update linked to threshold logic
What This Means for Compliance
Across these deployments, DGXprt has demonstrated a consistent pattern: regulatory logic that previously lived in consultants' heads or spreadsheets is now embedded directly into the platform. The AI and built-in logic doesn't advise — it executes. SDS documents are parsed, thresholds are determined, site inventories are generated, and manifests are structured — all producing auditable, regulator-ready outputs.
The result is not just speed. It's consistency, accuracy, and the elimination of interpretation risk at every point where a compliance decision is made.
Platform Capabilities
Each of these capabilities is available now and in production use across retail, logistics, consulting, and automotive environments.