Customer Overview
Problem Statement / Scope of Work
Utility operators and AMI platform vendors faced significant challenges in deploying smart metering infrastructure at scale.
Key challenges
- Multi-vendor device fragmentation — no standardized testing framework across meter brands and firmware versions
- Manual testing processes creating bottlenecks in device certification and delaying rollouts
- Limited automation coverage leading to high defect leakage into production and costly rework
- Complex DLMS/COSEM protocol compliance requirements across multiple geographies
- Security vulnerabilities in Head End System (HES) applications not identified until late in the deployment cycle
- Integration complexity across 30+ device vendors, communication modems, and AMI back-office systems
- No scalable simulation environment to stress-test systems against millions of concurrent endpoints before production
Approach & solution
AMI Head End System (HES) Development & Support
- Designed and developed user-facing and integration-layer Head End applications for utility operators to create, control, and monitor smart meter infrastructure
- Automation scripting maintenance and execution for customers in India and Thailand, and SMv2 HES solutions
DLMS/COSEM Protocol Qualification
- Implemented and tested DLMS/COSEM global standard protocol across 300+ device types
- Issued Certificate of Integration (COI) for multi-region, multi-vendor meter interoperability
- End-to-end integration of communication modems with AMI applications enabling global device interoperability
Performance Engineering & Simulation
- Built high-performance stub and driver applications simulating up to 5 million end entities for stress testing
- Performance testing and tuning on uHES and Cellular solutions at production scale
Security Testing & Compliance
- Implemented Threat Modeling and VPAT validation for multi-region, multi-version HES applications
- Security hardening of Head End Systems in line with NERC CIP and international standards
Test Automation Framework
- Built custom modular and scalable automation framework using AIQ low-code tool & Selenium
- 80%+ automation coverage achieved across regression, functional, and integration test suites
- Expanded QA functional use cases by 65% with full UI regression coverage added
Business Outcomes
30%
Reduction in integration costs that led to a significant reduction in multi-vendor integration costs across complex AMI environments.
90%
Reduction in defect leakage to production through consistent test coverage across all releases and patches, reducing postproduction fix costs, and ensuring higher system reliability across customer programs.
60%
Increase in test automation coverage with QA functional use cases enabling faster and more reliable release cycles across multiple customer programs simultaneously.
50%
Reduction in deployment cycles for new devices and vendors
60%
Reduction in manual data collection & validation effort across utility programs in multiple geographies.
99%
Billing data accuracy achieved across largescale AMI deployments, reducing consumer disputes, minimizing revenue leakage, and strengthening trust in utility billing systems across all customer programs.
80%+
Test automation coverage maintained consistently across all releases and patches, ensuring quality was never compromised regardless of program scale, or geography.
Additional outcomes delivered
- Established real-time scenario testing and a fully offshored lab setup — enabling 24x7 device validation without customer-side lab dependency
- Reduced customer disputes and revenue leakage through 99% billing data accuracy
- Global standards compliance adopted across USA, UK, India, and multiple Asian regions — reducing technical risk and simplifying future expansion and audits
- Consistent test coverage across all releases and patches — minimizing rework and ensuring higher system reliability