Banks rely on complex end-of-day operations — interest calculations, fund settlements, report generation, and reconciliation across multiple systems. Manual coordination or legacy schedulers lead to failures, delays, and compliance risks.

• Automated job sequencing with dependencies across systems (Core Banking → Payments → GL → Reports)
• Real-time failure detection and auto-retry mechanisms reduce manual intervention
• Integration with ServiceNow for incident creation and alerting on job failures
• Dashboard visibility for operations teams to monitor SLAs and performance

• 95% reduction in manual effort for batch operations
• 40% faster end-of-day closure
• Improved compliance reporting accuracy
• Fewer missed SLAs due to automated recovery

Hospitals rely on mission-critical systems. Downtime affects patient safety, care quality, and regulatory compliance.

• Centralized tracking of medical equipment
• Preventive maintenance workflows and alerts
• 24/7 system monitoring of EHR and devices
• Automated incident response and ITSM integration
• Security & HIPAA compliance automation

• Improved uptime and faster recovery
• Enhanced patient care and efficiency
• Stronger data security and compliance
• 30% reduction in IT support costs

Unplanned equipment downtime, inefficient maintenance, and disconnected systems reduce output and profitability.

• IoT & sensor integration for real-time monitoring
• Predictive analytics to prevent failures
• Automated maintenance work orders via ITSM
• Updated CMDB with dashboards for all teams

• 35% reduction in downtime
• Optimized maintenance and longer asset lifespan
• Higher production output and cost savings
• Seamless IT-OT collaboration

System crashes during critical releases delay productivity and client deliverables.

• Automated incident detection (Splunk/Datadog integration)
• ITSM ticket automation
• Orchestration to restart services & restore configs
• Knowledge base integration for guided resolution

• Services restored in minutes
• 50% faster resolution, 30% fewer repeat incidents
• Improved productivity & customer satisfaction
• Reduced IT overhead and SLA compliance

Unpredictable network spikes delay root-cause analysis and impact millions of customers.

• Continuous network monitoring
• Predictive AIOps for outage prevention
• Event correlation to highlight true root cause
• Automated rerouting & scaling of resources

• 40% reduction in network downtime
• 25% fewer customer complaints
• Proactive issue resolution
• Enhanced network reliability & efficiency

High traffic during sales causes slowdowns or outages, impacting revenue and customer experience.

• Real-time monitoring of front-end, back-end, and databases
• Cloud auto-scaling based on traffic
• Instant ITSM alerts for proactive action
• Cross-department coordination for peak events

• 99.9% uptime during peak events
• 20% increase in completed transactions
• Maximized sales and reduced IT stress
• Consistent digital shopping experience