Increased energy platform stability and resilience
Advanced analytics and data-driven decision-making
Enhanced security and cloud‑enabled infrastructure uplift
Owning Change in Energy
Our customer is a market‑leading provider of high‑impact, accessible, and reliable electricity and energy solutions. Operating at enterprise scale in an increasingly data‑driven energy market, they identified technology modernisation as a strategic imperative to sustain agility, resilience, and long‑term growth.
Energy Infrastructure Modernisation at Full Throttle
Navigating Complexities in Cloud Migration and Platform Engineering
Our customer embarked on a multi-year digital transformation programme to modernise their IT ecosystem and meet the evolving demands of the energy market. Central to this initiative was the transition to an Azure-powered enterprise infrastructure—designed to replace legacy systems, unlock predictive analytics through AI/ML technologies, enhance data platform capabilities, and drive operational agility across the board.
Delivering this enterprise-scale, time-sensitive modernisation effort was far from straightforward. The programme faced a range of complex challenges, from integrating legacy platforms into a scalable, cloud enabled environment and automating testing across mission critical trading systems to aligning enterprise reporting with stringent data governance frameworks. All of this needed to be delivered while safeguarding system resilience and maintaining full regulatory compliance—making the transformation both highly ambitious and business critical.
Purpose–Built Delivery for Enterprise Technology Transformation
Full–Stack Capabilities Across Cloud, Data, AI/ML, and Automation
TEKsystems partnered closely with our customer’s IT leadership to scope their Azure cloud modernisation roadmap and formulate a tailored strategy for uplifting technology maturity across the enterprise. To bridge the existing gaps, we deployed 15 high-calibre technical consultants to lead delivery across several strategic domains including cloud infrastructure, application development, data, AI/ML, and automation testing.
As part of our solution delivery, TEKsystems’ consultants focused on several mission‑critical areas, translating strategy into high‑impact, practical outcomes.
- AI/ML Modelling: Developed a scalable modelling platform using Azure ML and Azure Kubernetes Service, targeting the deployment of 20 predictive models.
- ModelOps: Migrated legacy models into Azure, implementing automated deployment pipelines and real-time monitoring tools.
- DevOps and CI/CD: Modernised software delivery pipelines using .NET development tools, DevOps and CI/CD best practices.
- Test Automation: Introduced Playwright and Azure DevOps to enable continuous testing, reduce manual QA overheads, and strengthen test governance across critical systems.
- Data Analytics and BI Reporting: Elevated enterprise reporting capabilities through Power BI and Azure Data Warehousing to generate actionable real-time insights.
- Infrastructure and Security Uplift: Delivered a cloud-first network and security upgrade, enhancing resilience and alignment with enterprise security standards.
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Real-World Results
TEKsystems’ engagement played a critical role in enabling our customer’s cloud‑native transformation, supporting the modernisation of legacy platforms and accelerating Azure cloud migration. Working alongside in‑house teams, our consultants delivered tangible outcomes across platform, data, and delivery capabilities.
- Legacy Platform Re‑Architecture: Re‑engineered legacy platforms into microservices and delivered Azure cloud migrations to establish scalable, resilient, and secure digital foundations.
- Delivery Modernisation: Modernised core trading platforms and streamlined delivery processes to improve speed, stability, and operational efficiency.
- Automation Enablement: Implemented scalable test automation frameworks to enable earlier defect detection, strengthen compliance, and enhance end‑user experience.
- Predictive Analytics: Deployed a robust AI/ML modelling platform to embed predictive insights across trading, risk, and operations.
- Robust Data Management: Institutionalised strong data management and modelling practices to accelerate model onboarding, improve oversight, and support data‑driven decision‑making.
- Engineering Excellence: Standardised tooling and modern engineering practices, delivered POCs, and drove continuous improvement without disrupting BAU operations.
