Intelligent automation program helps a global aerospace manufacturer enhance operational efficiency and reduce processing time across 17 departments.
In high-precision manufacturing environments, manual processes slow operations, increase error risk, and limit real-time visibility into performance. As scale and complexity grow, these inefficiencies directly impact turnaround times, productivity, and decision-making.
This case study shows how a global aerospace manufacturer partnered with We+ Asia to automate manual operations across its Singapore-based production environment, resulting in major time savings, reduced error rates, and real-time visibility on critical operational metrics.
+ Delivery Stats
+ ~90 percent reduction in manual errors with rule-based logic
+ Real-time Power BI dashboards deployed for KPI tracking
+ 30–60 percent faster processing times across functions
+ Multiple Python scripts integrated for SAP interactions and backend processing
+ Centralized RPA Support & Maintenance operations established
+ Sprint-based delivery ensuring iterative feature releases
+ Hands-on UAT and training sessions conducted across Production and Repair teams
+ The Challenge
The organisation faced substantial manual workload across critical productionand repair processes. SAP transactions, report generation, PR requests, MOcreation, and email notifications required significant human effort, resulting inlong processing times and heightened risk of manual errors.
Teams lacked real-time visibility over KPI performance, automation coverage,and operational savings. The manufacturer needed a robust, scalable automation framework to streamline workflows, reduce error rates, increase transparency, and accelerate turnaround times — all without disrupting active production lines.
+ The Solution
We+ Asia partnered closely with production, repair, and digital transformation teams across Singapore and Europe. Using Agile methodologies and RPA best practices, the team delivered a cross-functional automation program designed for scalability and resilience.
Modular UiPath workflows were developed and supported by Python scripts handling backend processing, SAP interactions, and data preparation. Automations were deployed in phased waves to minimise operational disruption.
Power BI dashboards were introduced to provide detailed visibility on monthly savings, automation coverage, and key performance indicators. Hands-on training and UAT sessions enabled process owners to adopt, manage, and monitor bots independently. A centralized Support & Maintenance function was established to oversee incidents, enhancements, and continuous improvement.
+ The Results
+ Improved efficiency and reduced manual effort: Automation eliminated repetitive SAP transactions, PR requests, MO creation, and reporting tasks.
+ Real-time insights for better decisions: Power BI dashboards provided continuous visibility on savings, automation coverage, and KPI performance.
+ Scalable automation deployed enterprise-wide: 17 departments now run on standardized, reusable automation modules built for long-term growth.
+ Greater cross-departmental alignment: Shared dashboards and automation data helped prioritise initiatives and increase transparency.
+ High adoption and autonomous usage: Business users independently trigger and monitor bots through orchestrators.
