Workflow Automation for Industrial Services

A UK-based water services company faced significant operational bottlenecks due to manual administrative processes, fragmented media handling, and non-standardized job data. These inefficiencies were costing the team dozens of hours weekly and increasing the risk of operational errors in the field.

I designed and implemented a custom Operations Operating System built on Node.js and Python to centralize and automate the lifecycle of a water services job. This wasn't just a "script" it was a foundational shift in how the business handles data.

Intelligent Workflow Automation: Built robust back-end logic in Replit to automate repetitive admin tasks, ensuring data moves seamlessly from the field to the dashboard.

Advanced Media Management: Developed a high-performance photo management module (Bulk/Individual processing) to handle high-volume site documentation.

Field-First Optimization: Completely overhauled the mobile dashboard, ensuring field teams have 1:1 parity with office tools for real-time reporting.

Data Integrity Engine: Implemented strict job-type validation and mandatory labeling to eliminate downstream reporting errors.

Reclaimed Staff Capacity: Reduced manual administrative workload by an estimated 15+ hours per week, allowing senior staff to focus on high-value client acquisition.

Operational Cost Savings: Improved workflow speed directly translated to faster job completion cycles and reduced overhead.

Eliminated Data Silos: Centralized media and job data into a single source of truth, reducing "search time" for project managers by 40%.

Production Stability: Delivered a 100% stable, deployment-ready system with zero downtime during the transition phase.