SupportOps
Operate Intelligently. Support Effortlessly.
AI-powered application support and IT operations platform that reduces MTTR, automates resolution, and turns reactive support into proactive operations.
Overview
IT operations and application support teams are perpetually under-resourced relative to the demands placed on them — managing incidents, handling user queries, monitoring system health, and managing change all simultaneously. SupportOps is Globalion's AI-powered operations intelligence platform that transforms support from a cost center into a strategic capability. It applies AI to ticket routing, resolution suggestion, anomaly detection, and knowledge management — reducing mean time to resolution dramatically while improving team capacity for high-value operational work.
Capabilities
Everything SupportOps does, built to production standard from day one.
Intelligent Ticket Routing
AI-powered ticket classification and routing that assigns incidents to the right team and priority tier without manual triage.
Automated Resolution Suggestions
Knowledge base and historical incident analysis surfaces relevant resolution steps and runbooks at the moment a ticket is opened.
Anomaly Detection
Continuous monitoring with ML-based anomaly detection identifies system health degradation before it becomes a user-visible incident.
SLA Prediction
Real-time SLA breach prediction gives managers early warning to intervene before contractual obligations are missed.
Root Cause Analysis AI
Multi-source log correlation and pattern matching to identify root causes faster than manual investigation, especially in distributed systems.
Knowledge Base Automation
Automatic extraction and organization of resolution knowledge from ticket histories, building a self-improving support knowledge base.
Multi-Channel Support
Unified inbox aggregating incidents from email, Slack, Teams, ITSM tools, and monitoring alerts into a single operations view.
Ops Intelligence Dashboard
Real-time operational dashboard with incident volumes, MTTR trends, SLA performance, team capacity, and predictive maintenance indicators.
Use cases
- Enterprise IT departments managing 500+ application support tickets per month
- Managed service providers scaling support capacity without headcount
- DevOps teams implementing AIOps alongside existing monitoring stacks
- Banks and fintechs with strict SLA obligations and compliance requirements
- E-commerce operations teams managing high-velocity peak period incidents
Built for IT Operations & Support Leaders
The teams that get the most value.
See SupportOps in action
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