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DMS and Workflow

Digitalize Your Documents. Automate Your Approvals.

Manage all project documents in a structured, version-controlled repository with automated approval workflows. DMS and Workflow replaces email-based document distribution with a secure, traceable system that enforces your approval processes.

Main features
01

Centralized Document Repository

02

Automated Approval Workflows

03

Version Control & Numbering

04

Role-Based Access Control

05

Full Audit Trail

Centralized Document Repository
01

Centralized Document Repository

Store all project documents in a structured hierarchy with folders, metadata tags, and powerful search. Every document is version-controlled with automatic numbering.

02

Automated Workflow Engine

Configure multi-step approval workflows with role-based routing, SLA enforcement, and automatic escalation. Drawings, submittals, and RFIs follow structured approval paths.

Automated Workflow Engine
Document Numbering & Status
03

Document Numbering & Status

Automated document numbering follows your organization's conventions. Track document status — draft, in-review, approved, superseded — with full lifecycle management.

04

Template-Based Workflows

Create and reuse workflow templates for common approval processes. Standardize how documents move through your organization for consistency and compliance.

Template-Based Workflows
Comprehensive Audit Trail
05

Comprehensive Audit Trail

Every document action is logged — upload, view, download, comment, approve, reject — creating a complete audit trail for regulatory compliance and dispute resolution.

DMS and Workflow is most useful for:

Document Controllers

Centralized Document Management

Manage the complete document lifecycle — from upload through approval to distribution — in a single system that replaces email-based document handling.

Project Engineers

Drawing Approval Workflows

Submit drawings and technical documents through structured approval workflows, track review status, and receive notifications when action is needed.

Project Managers

Approval Bottleneck Visibility

Monitor document approval queues, identify bottlenecks, and ensure SLA compliance across all document types to prevent schedule delays.

"We processed 15,000 documents in the first 6 months with zero lost files and 95% SLA compliance on approvals. Our document controller team went from firefighting in Aconex to reducing review time by 2 weeks on average per document workflow."

Senior Document Control
|
ITBA
ITBA
Learn more

Frequently asked questions

What analytics are available?

Track detection frequency by type, zone, and time period. Monitor resolution rates and generate compliance trend reports for regulatory submissions.

Does it comply with NCEC regulations?

Yes. The system is designed to support NCEC (National Center for Environmental Compliance) monitoring requirements in Saudi Arabia, with appropriate reporting outputs.

How does the AI choose the right chart type?

The AI selects visualization types based on the data structure and your question. You can also request specific chart types in your query.

How are images uploaded?

Images can be uploaded from drones. The system processes standard image formats and provides results within minutes.

What types of pollution can the AI detect?

The AI detects 15 different objects from waste to stray animals to broken civil assets.

Can I connect to live project data?

Yes. Select existing project data sources from the WhiteHelmet platform, integrate 3rd party data, or upload fresh data files for ad-hoc analysis.

WhiteHelmet products DMS and Workflow works well with

Field Intelligence

Field Intelligence
360° Reality Capture
Field Intelligence
Observations
Field Intelligence
Contract and Claim Management
Project Management Intelligence
Design Management
Field Intelligence
Asif AI
Artificial Intelligence

Project Management Intelligence

Project Management Intelligence
360° Reality Capture
Field Intelligence
Observations
Field Intelligence
Contract and Claim Management
Project Management Intelligence
Design Management
Field Intelligence
Asif AI
Artificial Intelligence