Read the graph
The assistant investigates against the live inventory and topology graph, so its reasoning is grounded in what actually exists, not a stale diagram.
Solutions · AI-Assisted Incident Response
AI-Assisted Incident Response, solved once.
AI-assisted incident investigation with human approval guardrails.
IN ONE LINE
AI-Assisted Incident Response
Use guarded AI assistance to investigate infrastructure incidents, propose remediation steps, and maintain human approval on every action.
THE PROBLEM
Why this keeps hurting teams.
And how the control plane answers it without adding another dashboard to the pile.
The problem. Incident response requires rapid investigation of complex infrastructure states. Engineers spend valuable time correlating logs, metrics, and topology data while the outage continues. Manual investigation is slow and error-prone under pressure, and the fear of making things worse often slows remediation more than the incident itself.
How Devopsify solves it
Devopsify's guarded AI assistant reads the infrastructure graph during incidents, correlates topology, drift, cost, and delivery signals, and proposes likely causes and remediation steps. Crucially, the assistant never executes actions: it proposes, humans approve, the platform executes, and the audit trail records all three. This combines AI speed with human accountability.
HOW IT WORKS
Three moves, one operating model.
Propose, never execute
It surfaces likely causes and candidate remediation steps with a risk read on each. Nothing runs until a human approves it.
Act through the platform
Approved actions execute through the same policy-gated path as every other change, and the audit trail records the whole incident.
KEY FEATURES
What you get out of the box.
Topology-aware incident investigation
Correlated signal analysis (drift/cost/delivery)
Proposed remediation steps with risk assessment
Human-in-the-loop execution model
Audit trail for all incident actions
Post-incident report generation
WHY DEVOPSIFY
The difference that actually matters.
AI incident tools that can act on their own are a liability; AI that only reads is underused. Devopsify splits the difference deliberately: the assistant investigates and proposes with full graph context, while execution stays behind approvals and policy. You get the speed of AI investigation without handing the blast radius to a model.
Shortening the time from page to probable cause during an outage
Correlating a spike in cost or drift with the change that caused it
Producing a grounded post-incident report without a manual timeline rebuild
WHO BENEFITS
Built for the people who own the outcome.
On-call engineers investigating incidents, SRE teams improving MTTR, security teams responding to breaches, operations teams maintaining uptime commitments.
The outcome. Faster investigation with a human still in charge of every action, and a complete record of how the incident was handled.
SEE IT LIVE
Try AI-Assisted Incident Response on labeled demo data.
Start in seconds with zero cloud credentials, then connect a real account for live discovery.