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AI Compliance Analysis

Never Miss a Code Violation Again.

Upload project documents and let AI scan them against Building Code, fire safety standards, and regulatory requirements. AI Compliance Analysis replaces weeks of manual code checking with automated, traceable compliance verification.

Main features
01

Automated Code Compliance Scanning

02

Saudi Building Code (SBC) Coverage

03

Fire & Safety Standards Check

04

Clause-Level Gap Identification

05

Compliance Reports with Evidence

Regulatory Compliance Engine
01

Regulatory Compliance Engine

Scan project documents against any building code (including SBC), fire safety code, and environmental regulation. The AI identifies non-compliant sections and provides clause-level references for remediation.

02

Multi-Standard Evaluation

Check compliance across multiple standards simultaneously — building codes, fire safety, environmental regulations, and project-specific requirements — in a single analysis run.

Multi-Standard Evaluation
Knowledge Base Integration
03

Knowledge Base Integration

Upload your organization's compliance standards and regulatory interpretations. The AI uses your institutional knowledge alongside public codes for context-aware evaluation.

04

Clause-Level Gap Reporting

Get precise identification of which clauses are non-compliant, with direct references to the applicable code sections and suggested remediation actions.

Clause-Level Gap Reporting
Analysis History with Audit Trail
05

Analysis History with Audit Trail

Maintain a complete record of every compliance check — input documents, standards applied, findings, and resolutions — for regulatory audits and project handover.

AI Compliance Analysis is most useful for:

Technical Engineering Department

Automated Code Verification

Replace manual page-by-page code checking with AI that scans entire document sets against multiple standards simultaneously.

Permit Department

Faster Permit Submissions

Submit permit applications with confidence by pre-checking compliance before submission — reducing rejection cycles and accelerating approvals.

Project Manager

Regulatory Risk Mitigation

Identify compliance gaps early in the project lifecycle when remediation is inexpensive, rather than discovering violations during inspections.

"We reduced our SBC compliance review cycle from 6 weeks to 3 days. The AI caught two fire environmental gaps that would have delayed our building permit by months."

Head of Regulatory Compliance
|
Department of Municipality Affairs, Saudi Arabia
Department of Municipality Affairs, Saudi Arabia
Learn more

Frequently asked questions

How does progress tracking work?

Work packages are color-coded on the map by status — planned, in-progress, and completed — with drill-down access to percentage completion and contractor assignments. They are connected to the reporting engine.

Can I connect my Primavera P6 schedule?

Yes. GIS 2D integrates directly with Primavera P6, displaying activity dates, completion percentages, and dependencies on the spatial map.

What file formats does GIS 2D support?

GIS 2D supports DWG, DXF, and KML file formats for CAD and geospatial overlays, with file sizes up to 100 MB for CAD and 50 MB for KML.

How do approval workflows work?

Workflows are easily configured with multiple review/approval stages, role-based routing, and SLA timers. Documents advance through stages based on approver actions.

What document types are supported?

The DMS supports all standard construction file formats including PDF, DWG, DXF, DOC, XLS, images, BIM files, and more.

Does it integrate with Revit or AutoCAD?

Yes. Models from Revit and AutoCAD can be uploaded directly. The platform also supports IFC for open-standard interoperability.

WhiteHelmet products AI Compliance Analysis works well with

Field Intelligence

Field Intelligence
DMS and Workflow
Project Management Intelligence
Asif AI
Artificial Intelligence
AI Design Analysis
Project Management Intelligence

Project Management Intelligence

Project Management Intelligence
DMS and Workflow
Project Management Intelligence
Asif AI
Artificial Intelligence
AI Design Analysis
Project Management Intelligence