Investigates iteratively and gets you to root cause
Triages and investigates alerts even before your on-call engineer gets started.
Starts investigating autonomously
As soon as an alert fires, Resolve AI begins investigation even before the on-call engineer starts.
Creates an investigation plan
Forms hypotheses based on your architecture, recent deployments, and system state to determine where to look first.
Pursues multiple hypotheses in parallel
Spawns specialized agents across logs, metrics, traces, infrastructure, and code running down each hypothesis simultaneously.
Continuously refines the plan as evidence emerges
Updates plan based on what agents find by ruling out paths that don't fit and doubling down on those that do.
Provides a working theory with the evidence behind it
Converges on the most likely root cause, ranked by confidence with the full evidence trail.
Find how Resolve AI gets you to root cause
Engineering teams running Resolve AI in production
Engineering teams at Zscaler, DoorDash, MongoDB, and others run Resolve AI against every alert in their production systems.
87% faster
root cause identification at DoorDash Ads
DoorDash Ads cut investigation time from 40 minutes to under a minute.
75% faster
incident investigations at Zscaler
Across 150,000+ alerts per month and 160+ global data centers.
30% fewer engineers
per incident at Zscaler
Resolve AI narrows the blast radius of every incident, reducing unnecessary escalations.
How Resolve AI gets you to root cause
Resolve AI connects to your production tools, investigates every alert the moment it fires, and surfaces a root cause grounded in your actual system architecture.
Resources
AI SRE buyers guide
How to identify AI that runs genuine multi-domain investigation, the questions to ask vendors, and the business case framework for a $100K+ investment.
AI for Production Systems
Not about making engineers faster — about distributing senior-level judgment at the scale of your entire production environment.
