Transforming a Global Distributor with Azure Cloud and AI-Powered Support
Cloud migration and AI support automation that cut development errors by 50%.
Read the Case StudyA Global Technical Distributor of Industrial Motion & Control Solutions
Industry
Industrial Technical SolutionsRegion
GlobalCompetencies
Legacy on-prem infrastructure, manual CI/CD, and fragmented support knowledge limited delivery speed and constrained digital growth.
Techwave migrated systems to Azure, deployed AI-powered IT and SAP support, and embedded a captive Agile team running CI/CD on .NET MAUI.
Delivery cycles accelerated by up to 50%, development errors fell by half, and AI-driven self-service reduced support ticket volumes.
30-50%
Faster development cycles
50%
Reduction in development errors
75%
Improvement in team collaboration
10-20%
Software quality improvement
3y 8m
Engagement duration and counting
A Global Technical Distributor of Industrial Motion & Control Solutions
Industry
Industrial Technical SolutionsRegion
GlobalLegacy on-prem infrastructure, manual CI/CD, and fragmented support knowledge limited delivery speed and constrained digital growth.
Techwave migrated systems to Azure, deployed AI-powered IT and SAP support, and embedded a captive Agile team running CI/CD on .NET MAUI.
Delivery cycles accelerated by up to 50%, development errors fell by half, and AI-driven self-service reduced support ticket volumes.
30-50%
Faster development cycles
50%
Reduction in development errors
75%
Improvement in team collaboration
10-20%
Software quality improvement
3y 8m
Engagement duration and counting
A Financial Technology Company specialing in Mutlicurrency and international payments
Industry
Financial ServicesRegion
UKLegacy on-prem infrastructure, manual CI/CD, and fragmented support knowledge limited delivery speed and constrained digital growth.
Techwave migrated systems to Azure, deployed AI-powered IT and SAP support, and embedded a captive Agile team running CI/CD on .NET MAUI.
Delivery cycles accelerated by up to 50%, development errors fell by half, and AI-driven self-service reduced support ticket volumes.
30-50%
Faster development cycles
50%
Reduction in development errors
75%
Improvement in team collaboration
10-20%
Software quality improvement
3y 8m
Engagement duration and counting
Built to Scale. Engineered to Support.
End-to-end engineering that moves enterprises from legacy systems to intelligent operations.
