Introduction
Incident analytics–driven IT automation enables banking institutions to improve resilience, reduce incident volumes, and enhance customer experience. Large-scale banking environments often face high volumes of IT incidents, especially during peak business hours, impacting users and customers. Reactive support models lead to SLA breaches, delayed resolution, and operational inefficiencies. This case study highlights how a banking institution leveraged data-driven incident analytics and automation to identify patterns, reduce manual intervention, and build a proactive, self-healing IT operations model.
Customer
A banking institution operating large-scale IT environments with 24×7 support requirements and high incident volumes impacting business users and customers.
Business Objective
- Improve IT resilience through automated healing
- Reduce incident volumes during peak business hours
- Minimize SLA violations in response and resolution
- Shift from reactive to proactive IT operations
- Enhance end-user and customer experience
Scope of Services
- Incident data analysis using heat maps and ticket analytics
- Identification of peak-hour incident patterns
- Classification of incidents based on type and automation potential
- Analysis of high-volume incident drivers (password, account, connectivity, configuration)
- Identification of duplicate and related tickets
- Design and enablement of automation and auto-healing workflows
- Establishment of a 24×7 integrated command center
Benefits
- Faster incident response and resolution
- Reduced dependency on manual support processes
- Improved SLA adherence across operations
- Better prioritization of critical incidents
- Reduced operational noise and duplication
- Enhanced productivity of IT support teams
Impact
- ~75% of incidents during business hours optimized for automation
- Up to 30.7% automated resolution potential identified
- High automation potential across key categories:
- Password issues (22%)
- Account issues (19%)
- Connectivity issues (17%)
- Configuration issues (16%)
- Reduced manual intervention in repeatable incidents
- Established foundation for scalable, self-healing IT operations
Introduction
Application support transformation is critical for insurance providers managing high volumes of customer-facing service requests across multiple channels. Traditional support models relying heavily on L2/L3 teams often lead to delays, SLA breaches, and inconsistent customer experiences. This case study highlights how an insurance provider transformed its application support operations by implementing self-service, automation, and a shift-left strategy. By optimizing ticket handling and enabling multi-channel support automation, the organization improved service efficiency, reduced operational effort, and enhanced customer satisfaction.
Customer
An insurance provider delivering application-based services across operations, finance, HR, and technology domains, handling high-volume support requests through web, voice, email, and alert-based channels.
Business Objective
- Improve customer experience through faster resolution
- Reduce SLA violations in response and resolution
- Shift workload from L2/L3 to L1 through automation
- Optimize operational effort and resource utilization
- Enable scalable multi-channel support
Scope of Services
- Ticket volume analysis and baseline assessment
- Incident vs service request classification
- SLA performance and compliance analysis
- Skill-wise workload and resource optimization
- Automation opportunity identification across applications
- Self-service and BOT-driven support enablement
- Shift-left strategy implementation across L1/L2/L3
Benefits
- Reduced dependency on manual ticket handling
- Faster response and resolution through automation
- Improved SLA compliance across service operations
- Better utilization of L1 support resources
- Enhanced consistency across multi-channel support
Impact
- ~48% of tickets identified for automation
- ~37% effort optimization potential
- Streamlined high-volume incident categories
- Improved customer experience through faster resolution
- Optimized workload distribution across support tiers
Introduction
Predictive IT operations enable enterprises to move from reactive incident handling to proactive and intelligent service management. Automotive manufacturers operating complex IT ecosystems often face high incident volumes, false alerts, and critical system failures across SAP, MES, and enterprise platforms. These challenges impact operational efficiency and increase downtime risks. This case study highlights how a leading automotive manufacturer implemented predictive analytics and observability-driven automation to improve incident management, reduce noise, and enable self-healing IT operations across its datacenter and enterprise systems.
Customer
A leading automotive manufacturer managing large-scale datacenter operations and enterprise systems including SAP, MES, HCM, and network infrastructure.
Business Objective
- Reduce manual ticket handling and operational load
- Minimize false positives and alert noise
- Reduce P1/P2 incidents and critical failures
- Enable predictive and automated incident resolution
- Improve efficiency across IT operations
Scope of Services
- Analysis of IT incident patterns and event behavior
- Event classification and severity alignment
- Alert correlation and false-positive reduction
- Automation of service requests and incident resolution
- Predictive monitoring across SAP, MES, HCM, and infrastructure systems
Benefits
- Reduced alert noise and false positives
- Improved accuracy in incident detection and prioritization
- Faster response and resolution of critical issues
- Enhanced reliability of enterprise systems
- Better operational visibility through observability platforms
Impact
- 51% of manually logged issues identified for automation
- 40–50% automation potential across incidents and requests
- 44% of total incidents identified as automatable
- Significant reduction in P1/P2 incidents
Introduction
ITSM optimization is critical for manufacturing organizations handling high volumes of IT service requests across complex environments. Large-scale cement operations often experience rising ticket volumes across infrastructure, applications, and security systems, leading to inefficiencies and increased operational load. This case study highlights how a cement producer improved IT service efficiency by implementing structured ITSM optimization and ticket intelligence. By analyzing ticket patterns, enabling self-service, and standardizing workflows, the organization built a strong foundation for scalable automation and improved service delivery.
Customer
A cement producer operating large-scale manufacturing facilities with high volumes of IT service requests across infrastructure, applications, and support environments.
Business Objective
- Reduce IT ticket volumes and operational load
- Improve efficiency through self-service and automation readiness
- Optimize incident vs service request handling
- Enhance response times and service availability
- Improve cost efficiency across IT operations
Scope of Services
- Baseline analysis of IT tickets and service requests
- Ticket classification and automation readiness assessment
- Service catalogue design and digitization
- Process alignment for ITSM workflows and prioritization
- Identification of automation and self-service opportunities
- KPI-driven optimization of IT service operations
Benefits
- Improved efficiency in ticket handling and service delivery
- Reduced manual intervention in repetitive issues
- Better visibility into ticket patterns and root causes
- Clear segregation of incidents and service requests
- Improved prioritization aligned with business KPIs
Impact
- 36,107 tickets analyzed across environments
- Identification of 20–24% automation potential
- 40% automation efficiency potential in security issues
- 47% of tickets attributed to process-related issues
- Reduced dependency on manual ticket resolution
Introduction
AI-driven self-healing IT operations enable manufacturing organizations to reduce downtime, improve service efficiency, and optimize IT support at scale. A cement manufacturing company operating large-scale plants faced high volumes of IT service tickets across EUC, SAP, network, and application environments. Manual handling led to delays, SLA breaches, and operational inefficiencies that directly impacted plant uptime. By implementing self-healing IT operations and ITSM automation, the organization transformed its IT support model, reduced manual effort, and improved service reliability across critical systems.
Customer
A cement manufacturing company managing large-scale plant operations with high IT service ticket volumes across multiple technology environments.
Business Objective
- Reduce IT incidents and SLA breaches
- Improve turnaround time (TAT) for issue resolution
- Minimize manual effort in IT support operations
- Enhance plant uptime and operational efficiency
- Enable automation-driven IT service management
Scope of Services
- ITSM process alignment and event categorization
- Ticket classification for incidents and service requests
- Automation across EUC, SAP, applications, and network
- Proactive monitoring and automated ticket handling
- Service catalogue digitization and rationalization
- Identification and implementation of automation opportunities
Benefits
- Reduced turnaround time and SLA impact
- Improved service quality through automated resolution
- Lower manual dependency and fewer operational errors
- Faster incident prioritization and response
- Improved efficiency across IT support functions
Impact
- 11,586 tickets analyzed (Jan–Aug 2025)
- 1.32M+ transactions automated annually
- 97,000+ FTE hours saved annually
- 49 bots deployed in production
- 16 processes automated
- 48.33% automation potential identified
- Significant reduction in EUC, SAP, and process-related incidents
Introduction
Scalable platform deployment enables capital-heavy manufacturing organizations to modernize operations without committing to large upfront investments. Traditional transformation programs often require significant capital expenditure, creating hesitation and slowing adoption. This case study highlights how a manufacturing enterprise adopted modular, service-based platforms to reduce financial risk and accelerate return on investment. By shifting from a CAPEX-heavy approach to a scalable OPEX-driven model, the organization enabled faster deployment, improved flexibility, and aligned technology investments with business growth.
Customer
A capital-heavy manufacturing organization cautious about large upfront investments and seeking flexible technology adoption models.
Business Objective
- Minimize upfront capital expenditure
- Achieve faster return on investment
- Reduce financial risk in transformation initiatives
- Enable scalable and phased technology adoption
- Improve confidence in technology investments
Scope of Services
- Deployment of modular, scalable platforms
- Implementation of service-based delivery models
- Phased rollout aligned with business priorities
- Enablement of flexible scaling across operations
- Optimization of cost and investment structures
Benefits
- Reduced financial risk through phased investments
- Flexible scaling aligned with business demand
- Lower barrier to technology adoption
- Improved alignment between cost and value realization
- Increased agility in decision-making
Impact
- Faster ROI cycles across initiatives
- Improved stakeholder confidence in technology investments
- More efficient allocation of capital resources
Introduction
Global IT service delivery transformation is critical for manufacturing enterprises operating across multiple geographies, where uninterrupted IT support directly impacts production and workforce productivity. Fragmented service models often create inefficiencies, slow response times, and lack clear accountability. This case study highlights how a leading steel manufacturer centralized its IT service operations to improve efficiency, responsiveness, and governance. By implementing a unified service delivery model, the organization enhanced operational consistency and ensured reliable IT support across global manufacturing and business environments.
Customer
Europe’s second-largest steel producer operating in 26 countries, with a commercial presence in over 50 countries and a globally distributed workforce across five continents.
Business Objective
- Improve service efficiency across global IT operations
- Reduce operational friction and service delays
- Establish a single-accountability service model
- Enable consistent 24/7 IT support
- Improve workforce productivity through reliable IT services
Scope of Services
- 24/7 application and IT support across environments
- On-premise IT support at manufacturing sites
- Centralized operations hub for service coordination
- Global service delivery management and governance
- Optimization of IT service processes and workflows
Benefits
- Faster operational processing across IT services
- Improved issue resolution and response time
- Better workforce productivity through reliable support
- Reduced complexity in managing global IT operations
- Stronger accountability across service delivery
Impact
- 95% faster gate pass processing
- 20% improvement in first call resolution
- 60% workforce rebadging enabling single-accountability model
Introduction
Hybrid IT infrastructure transformation enables global enterprises to reduce capital expenditure, improve resilience, and increase operational agility. A leading international financial services organization faced high infrastructure costs, complex global operations, and limitations in disaster recovery efficiency. Legacy systems and fragmented environments slowed provisioning and impacted service reliability. By implementing a hybrid IT infrastructure model combined with automation and centralized operations, the organization modernized its IT landscape, improved scalability, and enhanced operational performance across global locations.
Customer
One of the world’s largest family-owned financial institute services companies, operating globally across 50+ countries and serving over 100,000 clients.
Business Objective
- Reduce infrastructure CAPEX and shift to OPEX model
- Improve disaster recovery efficiency with defined RTO/RPO
- Increase IT agility and provisioning speed
- Reduce incidents and improve service reliability
- Modernize infrastructure with hybrid IT architecture
Scope of Services
- Core system and infrastructure support
- Service desk and command center operations
- Application and data center services
- Asset and workplace engineering services
- End-to-end 24×7 infrastructure management
- Hybrid IT and disaster recovery enablement
Benefits
- Reduced infrastructure and operational costs
- Improved disaster recovery efficiency and reliability
- Faster provisioning and improved agility
- Enhanced service reliability through proactive operations
- Scalable and standardized global IT operations
Impact
- 90% reduction in IT infrastructure CAPEX
- 45% reduction in disaster recovery costs
- 30% incidents proactively resolved
- 2× increase in provisioning speed
- 7× improvement in IT agility
Introduction
Integrated IT services transformation enables financial institutions to optimize costs, improve service quality, and strengthen governance across complex technology environments. A consumer division of a multinational retail banking group faced rising maintenance costs, fragmented service delivery, and increasing regulatory pressures. Managing applications, infrastructure, and compliance across geographies created inefficiencies and limited scalability. By implementing an integrated IT services transformation, the organization centralized operations, improved service consistency, and established a scalable and secure operating model.
Customer
Consumer division of a multinational retail banking group offering insurance, credit cards, and investment products.
Business Objective
- Reduce recurring IT and application maintenance costs
- Improve service quality and operational consistency
- Enable faster time-to-market for new initiatives
- Strengthen cybersecurity, risk, and compliance posture
- Support scalable operations across geographies
Scope of Services
- Centralized application managed services
- IT service management transformation
- DevOps-driven onboarding and scaling of applications
- Cybersecurity and GRC enablement
- Service knowledge management implementation
- Offshore shared services delivery model
- Continuous cost and productivity optimization
Benefits
- Reduced dependency on large support teams
- Improved efficiency and service consistency
- Stronger cybersecurity and compliance posture
- Lower run and change effort
- Better cost governance and control
- Improved alignment between IT and business functions
Impact
- 22% reduction in incidents
- 19% improvement in cybersecurity and GRC effectiveness
- Up to 30% reduction in run and change efforts
- 6% productivity improvement within 18 months
- 5% improvement in cost control effectiveness
- Enhanced operational resilience across banking operations
Introduction
DevOps-enabled platform transformation helps financial institutions accelerate product delivery, improve code quality, and streamline global operations. A US-based investment firm managing over $171B in assets faced challenges in maintaining consistency across its US and UK index operations. Fragmented processes, delayed releases, and limited automation slowed down time-to-market for new investment products. By implementing a DevOps-driven platform transformation, the organization unified operations, automated delivery pipelines, and established a scalable foundation for future growth.
Customer
A US-based investment firm managing US$171B+ in assets, operating both US and global (UK) investment indexes.
Business Objective
- Create a unified index operations platform
- Consolidate processes, reporting, and analytics
- Improve time-to-market for new investment products
- Enable scalable and efficient delivery across geographies
- Strengthen collaboration across distributed teams
Scope of Services
- Design of unified index operations platform
- Consolidation of business processes, reporting, and analytics
- Agile DevOps enablement across global teams
- Implementation of automated testing frameworks
- Setup of continuous delivery pipelines
Benefits
- Standardized and unified index operations
- Faster and more reliable deployment cycles
- Improved collaboration across distributed teams
- Enhanced code quality and release predictability
- Scalable platform for future investment products
Impact
- Faster and more reliable deployments
- Improved code quality and delivery predictability
- Reduced operational costs
- Better collaboration across global teams
- Strong foundation for scalable index services
