Telecom services are expected to work continuously, but the infrastructure behind them must keep changing.
Every provider operates in this reality.
- Customers expect reliable connectivity
- Enterprises depend on stable digital services
- Distributed teams need access to the systems, applications and collaboration tools that keep operations moving
- When infrastructure falls behind, the impact is felt in service reliability, customer experience and the ability to launch new capabilities at speed
For telecom providers, this makes modernization uniquely complex. They need to rearchitect legacy infrastructure, scale cloud platforms, increase automation and prepare for future technologies such as 5G, edge, IoT, AI and cloud native operations while maintaining the stability users depend on every day.
For one of the world’s leading telecom providers, this challenge played out at significant scale. Legacy infrastructure and traditional operating models were constraining innovation, while the organization needed to support more than 100,000 users across 299 sites, 7,800+ servers and 281+ applications.
The priority was clear: build a digital-first, cloud native foundation that could support future network innovation, improve operational resilience and enable faster deployment of new services without compromising reliability.
The modernization challenge
The telecom provider needed to balance operational stability with an innovation-first mindset. It also needed to empower distributed teams across R&D, operations and customer delivery to collaborate in real time.
At the core, the transformation was people-led. Training, reskilling and cultural adoption were prioritized to ensure that technology became a catalyst for growth.
To support this goal, HCLTech partnered with the telecom provider on a multi-phase modernization journey across cloud transformation, automation and human-centric change management.
Cloud-first evolution
The journey began with a large-scale migration to public cloud through a factory model approach.
This helped the provider achieve 85% virtualization and more than 250 cloud instances. It also established a flexible, service-catalog-driven infrastructure ready to host next-generation applications and workloads.
Building intelligence through automation
The next phase focused on automation and AI-enabled operations.
HCLTech leveraged its AI Force platform to help the telecom provider infuse AI and hyperautomation across the environment. This enabled self-healing systems, proactive incident prevention and improved operational predictability.
Through a shift-left approach and AIOps-led monitoring, the transformation reduced incident tickets by 20%.
The program also delivered efficiency gains at scale, including a 70–80% improvement in asset utilization and optimized licensing costs.
Strategic alignment and workforce transformation
The modernization program also focused on strategic alignment and workforce transformation.
Cross-functional initiatives were introduced to align strategy, technology and culture. Transparent collaboration between leadership teams helped ensure every step of modernization translated into business impact.
Toward autonomous network operations
The partnership continues to advance toward AI-driven observability, predictive operations and autonomous network control.
This supports the provider’s evolution from stability to intelligence and its ambition to redefine how a telecom enterprise operates.
Modernization must support continuous reliability
Telecom users do not see the factory model behind cloud migration, the automation embedded into operations or the AIOps-led monitoring that improves operational predictability.
They experience whether services are available, responsive and reliable.
For telecom providers, that is why modernization must strengthen the foundations beneath the surface. Cloud, AI and automation can help turn legacy infrastructure into a more flexible, scalable and intelligent operating environment.
HCLTech’s work with this global telecom provider shows how modernization can support operational agility, workforce transformation and future network innovation while maintaining the stability users depend on.
Read the full case study here.





