Problem candidate detection
Cluster repeated incidents by service, dependency, topology, symptoms, deployments, ownership, and business impact.
Problem management
Problem management that turns recurring incidents into governed prevention work.
Qintorava helps teams identify recurring incident patterns, investigate root cause, manage known errors, prioritize permanent fixes, and prove prevention outcomes across services, infrastructure, and cloud.
Qintorava AI operating layer
ITSMITILITOMCloudAIGovernance
Service workflow, infrastructure context, cloud state, policy, approvals, and audit evidence connected in one platform.
Overview
Purpose-built for the way Enterprise IT actually operates.
Qintorava connects service records, operational signals, infrastructure dependencies, cloud context, and governance controls so teams can move from ticket or alert to approved action.Root cause workbench
Use graph, telemetry, change, incident, cloud, and runbook context to investigate causes instead of reading queues manually.
Known error and workaround flow
Create known errors, link workarounds, publish knowledge, and route permanent fixes through change management.
Prevention metrics
Measure recurrence reduction, MTTR improvement, major incident avoidance, reliability backlog, and executive impact.
Workflow
From signal to governed action.
Each workflow is designed to preserve human control, policy boundaries, evidence, and rollback context where it matters.Detect patterns
Find repeated incidents, noisy services, recurring alerts, failed changes, and high-cost operational loops.
Investigate cause
Correlate topology, telemetry, logs, changes, cloud state, ownership, and historical resolution data.
Plan permanent fix
Create problem records, known errors, workarounds, remediation plans, and change requests with owners.
Prove prevention
Track recurrence, SLA exposure, cost impact, automation results, and knowledge quality over time.
FAQ
Common Problem Management questions.
How does Qintorava support problem management?
Qintorava helps identify problem candidates, investigate root cause, manage known errors, recommend permanent fixes, and connect prevention work to change and knowledge workflows.
Can Qintorava use AIOps signals?
Yes. Qintorava correlates ITOM, AIOps, observability, cloud, infrastructure, and ITSM data for richer root-cause analysis.
Does problem management require replacing current ITSM?
No. Qintorava can connect to existing ITSM records and act as a graph and AI layer for investigation, prevention, and governance.
Qintorava Inc