What is Cumulus Quality Execution System (QES)?

Cumulus offers a Quality Execution System (QES) designed to enhance control over work quality across various industries like energy, construction, manufacturing, and data centers. This system helps manage quality standards and improve workforce skills for all construction and maintenance tasks within a single platform. It aims to significantly reduce costly rework, which typically accounts for a substantial portion of project costs, by eliminating cumbersome paperwork and minimizing errors.

The platform provides a centralized dashboard offering a real-time view of field activities, tracking who performed the work, when it was done, and confirming its correctness. By leveraging AI, Cumulus QES facilitates the creation of custom digital workflows for manual processes, guides workers through tasks using an intuitive mobile application, and confirms quality through data captured from connected IoT devices. This automation extends to reporting and quality assurance, leading to increased productivity and efficiency.

Features

AI-Powered Workflow Creation: Instantly build custom digital workflows for manual work processes using AI.
Mobile Guidance: Provides intuitive instructions to workers via a mobile application.
Real-Time Quality Tracking: Monitor project quality and compliance in real-time through captured data.
IoT Integration: Captures manual work data using connected IoT devices for confirmation.
Automated Reporting: Streamlines reporting and quality assurance functions.
Data-Driven Insights Dashboard: Offers a single pane view of field activities and work quality metrics.
Workforce Upskilling Integration: Combines quality management with workforce development tools.

Use Cases

Digitizing construction work procedures (e.g., bolted joints, pressure testing).
Managing quality control in manufacturing and fabrication.
Overseeing maintenance activities in energy and chemical plants.
Tracking solar panel installations and renewable energy projects.
Improving field service operations and reporting.
Managing quality in data center construction and maintenance.
Reducing rework costs and improving margins in large projects.
Upskilling field technicians and craft workers on quality procedures.