What challenges did Wasco Berhad face before AI implementation?

Wasco faced difficulty analyzing fragmented and multilingual safety observation reports from multiple regions. Manual safety report analysis took weeks, delaying risk visibility and response. The company needed scalable AI-driven insights to improve worker safety and operational efficiency.

What was the impact of the AI solution?

Data analysis time reduced from weeks to minutes, enabling timely risk mitigation. Improved safety oversight helped prevent incidents and protect workers. Saved thousands of man-hours by automating manual analysis tasks. Wasco plans to expand AI use into sustainability monitoring and develop a unified AI ecosystem for finance and ESG.

Source

GCP

Wasco Berhad Improves Workplace Safety with AI Analytics on Google Cloud

Use case typeEnergy operations automationUpdated Jun 13, 2026

Wasco Berhad, a Malaysian energy and infrastructure group operating in 13 countries, needed to analyze thousands of multilingual freeform safety reports to improve workplace safety and compliance. They built an enterprise data warehouse on BigQuery and used Google Cloud AI services including Vertex AI and Gemini for text analytics, risk prediction, and digitization of handwritten notes. AI models automatically categorize safety reports, identify risks, predict incidents, and recommend preventive actions, saving thousands of man-hours and enhancing safety visibility globally.

Organization: Wasco Berhad
Industry: Energy & Utilities
Location: Malaysia

Reported outcomes

Strategic outcomes

Risk & complianceImproved workplace safety oversightNew product / capabilityDeployed AI-driven safety analyticsSpeed & agilityEnabled real-time risk visibilityScale & capacityCentralized multilingual safety data

Primary read

Use case focus

Showing 2 of 2

1Safety Analytics and Risk Prediction
2Process Automation

Wasco faced difficulty analyzing fragmented and multilingual safety observation reports from multiple regions.
Manual safety report analysis took weeks, delaying risk visibility and response.
The company needed scalable AI-driven insights to improve worker safety and operational efficiency.

Wasco centralized safety observation data on Google Cloud BigQuery for unified analysis.
They deployed AI models using Vertex AI and Gemini to extract insights, predict risks, and automate report categorization.
Document AI digitized handwritten notes ensuring comprehensive data capture even from restricted mobile sites.
The solution provided real-time safety dashboards and AI-generated preventive recommendations across 13 countries.

Technologies

BigQuery Vertex AI Gemini Google Cloud Storage

Data analysis time reduced from weeks to minutes, enabling timely risk mitigation.
Improved safety oversight helped prevent incidents and protect workers.
Saved thousands of man-hours by automating manual analysis tasks.
Wasco plans to expand AI use into sustainability monitoring and develop a unified AI ecosystem for finance and ESG.

Implementation partners1

Cloud Space

Sources & evidence1

Groundedness: 5/5

Primary source

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Customer evidence