Zero manual runbooks. In production.
The challenge
The provider's operations team ran a growing IT estate with a growing alert volume. Detection was not the issue — the monitoring stack surfaced incidents reliably. Everything after detection was the problem: triage, severity, runbook lookup, remediation, verification, ticket update. For most incidents — disk pressure, service restarts, config drift, routine escalations — it was the identical sequence every time. Known problem, known fix, manual execution. The toil compounded as the estate grew, and the team spent more time executing known fixes than on engineering work that needed judgment.
Our approach
Ariviti deployed an autonomous-operations workflow on TurfAI, running on the Elastic and Red Hat stack the team already operated — an augmentation, not a rip-and-replace. Alerts are ingested, deduplicated, and correlated to cut noise at the source; automated root-cause analysis ranks likely causes against log, metric, and topology evidence; defined incident categories are auto-remediated within team-set guardrails and a full audit trail; and anything outside the playbooks is escalated to an engineer with the full picture pre-packaged. Delivered through Ariviti's Virtual Technology Office (VTO) model — infrastructure that runs itself within guardrails the customer defines, accountable through go-live.
The result
Zero manual runbooks for defined incident categories — executed automatically. Live in production, with lower mean-time-to-resolution on automated categories and engineer time reallocated from runbook execution to judgment work.
