Use Cases
Operational Monitoring: Real-Time Visibility Into Vendor Performance
Clarative’s context layer combines knowledge of existing data source systems, business nuance, and context about user intent to create a virtual data model, purpose-built to answer your question or to help you discover data.
The Challenge
As organizations rely on more vendors for critical business operations, maintaining visibility into service levels has become increasingly complex.

Most procurement and vendor management teams struggle with a familiar scenario — manually collecting data from multiple service management platforms, preparing reports for quarterly business reviews, and trying to identify issues before they impact the business.

This manual approach leads to several critical problems:
Delayed Response to Service Issues
Performance degradation often goes unnoticed until it impacts the business
Missed Service Credits
Without automated tracking, organizations frequently miss opportunities to claim credits for SLA violations
Time-Consuming Reporting
Teams spend countless hours preparing for QBRs instead of focusing on strategic vendor management
Limited Visibility
Data scattered across platforms makes it impossible to track trends or compare vendors effectively
Clarative’s context layer combines knowledge of existing data source systems, business nuance, and context about user intent to create a virtual data model, purpose-built to answer your question or to help you discover data.
How Clarative Helps
Our platform acts as an intelligence layer on top of your existing service management tools, providing automated monitoring and real-time insights
Seamless Integration
Direct connection to ServiceNow, Jira, Zendesk, and other platforms with automated data collection and no workflow changes
Real-Time Monitoring
Dashboards, intelligent alerts, and automated trend analysis across all vendor performance metrics
Proactive Management
Early warning system for service issues, automated credit tracking, and root cause analysis across vendors
Clarative’s context layer combines knowledge of existing data source systems, business nuance, and context about user intent to create a virtual data model, purpose-built to answer your question or to help you discover data.
Example SLAs and Obligations
Service Availability
Monitor critical services against uptime commitments (typically 99.9%), with automated tracking of outages, maintenance windows, and penalty calculations
Response Times
Track vendor responsiveness across severity levels, from 15-minute requirements for critical issues to 48-hour windows for routine requests
Delivery Performance
Monitor order fulfillment against committed timeframes, from same-day processing to multi-week delivery windows, with proactive delay notifications
Quality Standards
Track error rates, defect levels, and quality metrics against guaranteed thresholds (e.g., 98% accuracy, < 0.1% defect rate)
Support Coverage
Monitor service desk availability, coverage hours, and staffing levels against contractual requirements (e.g., 24/7 support, local language coverage)
Key Benefits
Organizations using Clarative's intelligence layer for operational monitoring consistently achieve significant improvements:
Service Level Improvement
Average 40% reduction in time to detect and respond to service issues
Recovery Increase
3-5x improvement in service credit recovery
Time Savings
75% reduction in time spent preparing performance reports and QBR materials
Risk Reduction
Average 80% increase in early detection of service issues before they impact business operations
Clarative’s context layer combines knowledge of existing data source systems, business nuance, and context about user intent to create a virtual data model, purpose-built to answer your question or to help you discover data.
Example SLAs and Obligations
Service Availability
Monitor critical services against uptime commitments (typically 99.9%), with automated tracking of outages, maintenance windows, and penalty calculations
Response Times
Track vendor responsiveness across severity levels, from 15-minute requirements for critical issues to 48-hour windows for routine requests
Delivery Performance
Monitor order fulfillment against committed timeframes, from same-day processing to multi-week delivery windows, with proactive delay notifications
Quality Standards
Track error rates, defect levels, and quality metrics against guaranteed thresholds (e.g., 98% accuracy, < 0.1% defect rate)
Support Coverage
Monitor service desk availability, coverage hours, and staffing levels against contractual requirements (e.g., 24/7 support, local language coverage)
Ready to transform your operational monitoring?
Contact us at info@clarative.ai or send us your email here:
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