Incident summarization and auto-triage
Converts long, messy tickets, logs, and user emails into a clear, action-ready summary; proposes category, priority, and assignment.
Why it matters: Cuts MTTA and MTTR by reducing misroutes and back-and-forth.
AI-native ITSM
whatprob turns noisy tickets and alerts into clear actions. Summarize, triage, explain, and resolve faster with Retrieval-Augmented Generation and large language models.
What you get
Conversational self-service (ticket deflection)
End users ask questions in plain language and get precise, step-by-step answers—or the right workflow.
Why it matters: Higher self-solve rate and fewer tickets created.
Root-cause hints and remediation runbooks
Suggests likely RCA patterns and assembles a safe, stepwise remediation plan.
Why it matters: Faster diagnosis, fewer escalations.
Post-Incident Review (PIR) drafting
Auto-builds the incident timeline and drafts a blameless PIR with contributing factors, actions taken, and follow-ups.
Why it matters: Better learning culture with less manual toil.
Proactive alert explanations and enrichment
Turns raw alerts into enriched tickets with probable cause, affected components, and suggested priority/SLA.
Why it matters: Less noise, more context, faster action.
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