Coforge

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Composable Enterprise

CASE STUDY

Leading Airline Enhanced IT Resilience with AIOps and Automation, Achieving 93.4% First-Call Resolution

Industry

Travel & Transportation (Airlines)

Our Contributions

IT Operations Transformation, AIOps, Managed Services, Service Management

Location

Global

Technologies

ServiceNow, AIOps Platforms, Automation & Observability Tools

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Coforge partnered with a leading airline to transform its IT operations ecosystem and enhance resilience across a complex, always-on environment spanning multiple airports and geographies. The organization supported thousands of infrastructure assets, hundreds of business-critical applications, and a large global user base.

Facing fragmented tooling, limited real-time visibility, and manual service processes, the airline required a modern, intelligent operations framework. Coforge implemented an AI-driven, integrated service model that improved operational efficiency, strengthened resilience, and ensured uninterrupted support for flight-critical services.

Transformation timeline

Phase 1

IT operations assessment and service model design

Phase 2

Service desk and onsite support unification

Phase 3

AIOps, observability, and automation enablement

Phase 4

Continuous optimization and resilience enhancement

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The Challenge

The airline operated a highly distributed IT environment with fragmented tools and processes, limiting operational visibility and responsiveness. Aging endpoint environments and manual service workflows further increased inefficiencies and slowed incident resolution.

The lack of centralized monitoring and intelligent automation made it difficult to proactively manage incidents and maintain service reliability. Additionally, ensuring seamless operations during a major organizational transition without disrupting flight-critical services posed a significant challenge.

The organization required a scalable, intelligent operations model to enhance resilience, improve service quality, and support growing business and customer expectations.

Our Approach

Integrated IT Operations Model
Unified service desk and onsite support into a single experience layer, ensuring consistent and efficient service delivery across locations.

AIOps & Observability Enablement
Implemented advanced monitoring and AIOps frameworks to enable real-time visibility, proactive issue detection, and predictive operations.

Automation & Self-Healing Workflows
Introduced automation and orchestration capabilities to enable self-healing systems, reduce manual intervention, and accelerate incident resolution.

Platform-Led Service Management
Leveraged platforms such as ServiceNow to standardize service management, improve governance, and streamline workflows across cloud, infrastructure, and applications.

Security & SLA Governance
Established robust governance frameworks aligned with flight-critical SLAs and multi-party operational requirements, ensuring reliability and compliance.

Partner / Technology Ecosystem

  • ServiceNow
  • AIOps & Observability Platforms
  • Automation & Orchestration Tools

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Impact to Date

93.4%

First-Call Resolution (FCR)

96.3%

Call Quality Score

92%

Customer Satisfaction (CSAT)

+30%

Improvement in BAU Efficiency

Business Impact

 

  • Improved service quality and customer satisfaction through AI-driven operations
  • Enhanced operational efficiency, saving 870+ man-hours annually
  • Reduced incident volumes and improved responsiveness with automation
  • Enabled rapid recovery from critical incidents with minimal disruption
  • Established a scalable, future-ready operations framework for continuous improvement

 

Coforge helped the airline transition from fragmented, reactive IT operations to an AI-driven, resilient, and unified service model, improving service quality, enhancing operational efficiency, and ensuring uninterrupted support for flight-critical systems. This transformation established a scalable foundation for intelligent, always-on operations that can adapt to evolving business demands and customer expectations.