Strengthening enterprise operations for scalable growth
Helping a leading telecom provider improve service reliability, operating efficiency and readiness for continued transformation
Published: 17 October 2026
Last updated: 17 October 2026
- Overview
- The Challenge
- The Solution
- The Impact
- Beyond The Numbers
Overview
The client is a global networking and telecom leader with a broad enterprise environment supporting many parts of the business. Like many organizations of its scale, it manages a large application estate that has grown over time to support changing business needs, evolving platforms and new ways of working.
That scale and diversity created a clear priority: keep operations stable and efficient while making it easier to modernize the environment for the future. The objective was not to fix a problem so much as to help a mature enterprise continue improving the way it runs, adapts and grows.
The Challenge
The client’s application estate had grown into a broad and varied environment, with different platforms and levels of modernization across the landscape. The challenge was not a lack of capability, but the complexity that naturally comes with supporting a large enterprise at scale.
The main pressures were:
- A large and heterogeneous application estate with overlapping capabilities
- Operational complexity across multiple technologies, vendors and dependencies
- Manual tasks that limited how widely automation could be applied
- Fragmented monitoring, which made it harder to see service health end-to-end
- Delays in incident resolution and change execution when several teams were involved
- Modernization programs that needed to move faster to deliver full value
- A strong pipeline of AI and GenAI ideas, with limited production adoption
- Difficulty tying operational gains to clearly measurable business value
The Solution
HCLTech worked with the client through a Run, Transform and Optimize model that balanced steady operations with continued modernization. The approach was designed to improve the current environment while creating a practical path toward a more efficient and future-ready estate.
Key elements of the solution included:
- Application management and support across production operations, service management and continuous improvement
- Modernization of legacy applications, databases and platforms
- Rationalization of applications to reduce duplication and simplify the landscape
- API and integration modernization, including migration to more modern gateway and integration platforms
- Expanded automation across workflows, testing, monitoring and remediation
- AI-assisted engineering, GenAI use cases and AI-led operations
- A phased delivery model that prioritized low disruption and steady progress
- Ongoing measurement through operational dashboards and service KPIs
This allowed the client to improve the estate in manageable steps while protecting continuity and service quality.
The Impact
The work has already delivered clear operational gains for the client, helping improve efficiency, automation and service performance across the environment.
Results include:
- Up to $5 million cost savings per year
- 588 hours per month in productivity savings
- Unplanned downtime dropped by 90%
- 77%-82% work-order automation in focused applications
These outcomes show progress not only in operational efficiency and bottom-line improvement but also in the client’s ability to scale modernization in a more controlled and measurable way.
Beyond the Numbers
The client values HCLTech’s deep knowledge of its application landscape, strong operational discipline and ability to combine run and transformation within one engagement. That combination has helped maintain continuity while still advancing the tech stack.
The next phase of the partnership is focused on expanding modernization across the broader estate, accelerating API and SAP transformation, moving more AI and GenAI use cases into production and increasing automation across monitoring, incident management, testing and remediation. The longer-term direction is a more cloud-first, AI-led and outcome-based operating model.
DBS Digital Business Case study Strengthening enterprise operations for scalable growth
