What does “AIOps that acts” mean?
It means the operating loop can move from detection and correlation to diagnosis, governed remediation and verification instead of stopping at an alert or recommendation.
AI-native product · Any entry point
Incidents found, fixed
Incidents found, fixed
and closed — by AI.
Reduce noise. Find root cause. Automate remediation — with humans in the loop.
AI agents correlate events, isolate the cause and remediate against your runbooks — engineers own outcomes, not tickets.
Value in daysReduce alert noiseFaster root causeGoverned auto-remediationLower MTTR
From AIOps to Autonomous Ops
Don't stop at detection.
The differentiation is what happens after correlation: context, causal reasoning, governed orchestration, remediation and verification.
Most AIOps
- Observe
- Detect
- Correlate
- Alert
- Ticket → Human
VS
blaZop — AIOps that acts
- Observe → Correlate → Diagnose
- Causal analysis + similar-incident context
- Predict → Recommend → Decide
- Orchestrate → Remediate
- Verify → Learn
What you get
AIOps — designed for outcomes.
The AIOps loop
How it lands.
Observeeverything ingested
Correlatenoise collapsed
Decideroot cause found
Remediaterunbooks executed
Learnknowledge compounds
Every resolution feeds the knowledge graph — the loop never stops improving.
Reactive firefighting
→
Alert stormsManual triageEscalation chainsRepeat incidents
Autonomous operations
Correlated incidentsRoot cause attachedRunbooks executedKnowledge compounds
Proof, not promises
The numbers that matter.
90%+Incident-resolution automationfor eligible incident workflows
60%+Ops ticketsauto-resolved across the broader operations queue
ZeroTicket-driven opsthe queue disappears
Raw eventseverything observed
Correlated incidentsnoise collapsed
Auto-remediatedrunbooks executed
Human decisionsengineers own outcomes
In the product
One command center.
One command center.
Everything observable.
Observe. Decide. Act. Continuously improve.
Start where your pain is
Build your next operating
Build your next operating
model with blaZop.
Deliver value in days or weeks — on the infrastructure you already own.
FAQ
Common questions, answered.
Is autonomous AIOps the same as self-healing?
Self-healing is one outcome of autonomous AIOps. The broader model also includes noise reduction, incident context, root-cause reasoning, human escalation, approved remediation and post-action verification.
Can teams require approval before remediation?
Yes. The platform model supports human-approved and conditional automation as well as fully autonomous actions within policy, so autonomy can match operational risk.