You don’t need to change them. OpsHub connects to Datadog, SolarWinds, Splunk, PagerDuty, and whatever else is already in your stack. The Anomaly Correlation agent clusters related signals into unified incidents at the intelligence layer — not the tool layer. Same tools. Far less noise.

Most automation breaks the moment something unexpected happens — and then someone has to clean it up. The difference is context. Agents gather evidence, reason through what’s happening, and act with a confidence score attached. Every action has a human approval gate for critical decisions and a full audit trail. That’s not a script. That’s governed intelligence.

For the AI-Augmented team model — days, not months. We embed into your existing operation without a long configuration cycle. The SRE squad approach takes longer because it’s about improving the underlying operational model, not just absorbing workload. We scope it together upfront so there are no surprises.

The metrics that land: MTTR reduction, alert-to-incident ratio, and recurring incident count over 90 days. Beyond those, there’s the hidden ROI — the value of what didn’t happen. Outages caught at 2 AM before they became incidents. Engineering hours freed from triage and returned to building. We set a baseline at kickoff and track it together.

No. The goal is to get your senior engineers off the help desk and back to the work they were actually hired for — architecture, runbook governance, reliability design. AI handles volume and repetition. Humans hold judgment, context, and the decisions that matter. We’ve never reduced a client’s headcount. We’ve changed what that headcount does.

Nothing leaves your perimeter. No cross-client model sharing. Every agent action is logged, auditable, and reversible. Remediation policies are defined and approved by your team — we don’t set the thresholds, you do. Designed to operate inside your governance framework, not around it.