AI sysadmin teammate for IT operations.
An AI teammate that detects, diagnoses, and helps resolve IT incidents — running inside your own infrastructure, on top of the monitoring, ticketing, and ops tools you already use. SARA does not replace your stack; it becomes an intelligent operational layer on top of it.
Reads logs, monitoring data, tickets, CMDB, Kubernetes and database signals, then correlates events.
Proposes the most likely root cause and the next action — with the evidence behind it.
Advisory first, then approved low-risk actions, then controlled self-healing within agreed boundaries.
Deployed inside the client infrastructure — data and logs never leave your environment.
Captures post-mortems and infrastructure knowledge so incidents teach the system.
Optional self-healing (ticket updates, restarts, scaling) only after human approval.
Cut MTTR by correlating noisy signals into one likely cause.
A teammate that answers "what changed and what now?" at 2am.
Filter alert storms down to what actually matters.
SARA is an AI sysadmin teammate that detects, diagnoses, and helps resolve IT incidents inside your own infrastructure.
No. It runs on top of the tools you already use as an intelligent operational layer.
Zabbix, Splunk, Jira Service Management, ServiceNow, CMDB, Kubernetes, PostgreSQL, Oracle, MySQL, VMware, and more.
It correlates logs, monitoring signals, tickets, and CMDB data, then proposes the most likely cause and next action.
Only within a phased trust model: advisory first, then approved low-risk actions, then controlled self-healing.
Inside the client perimeter. Data and logs never leave your environment.
By turning noisy signals into one likely cause with suggested remediation, cutting diagnosis time.
Yes. It records post-mortems and infrastructure knowledge so incidents teach the system.
A two-week proof of concept on your stack, then a phased rollout from advisory to automation.
Platform license plus implementation, scaling with environment size and connected sources.