AI Triage That Cuts MTTR
On-call pings. Five alerts. Zero context. The clock starts.
AI triage gives your team instant context, a likely cause, and the next three actions to take. Less guessing. Faster resolution.
The MTTR killers
Noisy, duplicate alerts
Missing asset and user context
Manual enrichment and routing
Slow handoffs and unclear ownership
Long ticket threads with no summary
What AI triage does
Deduplicate and correlate incoming alerts into one incident
Enrich with asset, user, and threat intel from your tools
Classify severity, impact, and probable cause
Suggest next steps and a short runbook you can execute
Auto-route to the right owner with an SLA
Summarize the thread and build a clean timeline for RCA
A simple workflow
Create a ticket or email the queue
AI adds context, explains likely cause, and proposes actions
Owner approves, edits, or assigns with one click
Updates are summarized automatically
When resolved, an RCA draft is ready to review
What good looks like
Mean Time To Acknowledge (MTTA) down and MTTR trending down each sprint
Fewer escalations per 100 incidents
Higher first-contact resolution rate
Triage time per incident measured in minutes, not hours
Knowledge reuse: suggested fixes linked to past wins
Guardrails that matter
Human in the loop for material changes
Clear audit trail and immutable timeline
Zero-retention option for prompts and outputs
EU hosting for core data
No training on your content unless you opt in
Try it with IncidentAI
Create a ticket or send an email. AI triages, explains the likely cause, and suggests steps to fix. It keeps a running summary and prepares an RCA draft. Sign in with Google or Microsoft. Privacy first and simple to roll out.
