IT operations is where AI should deliver the clearest return — the data is already there, the patterns are known. The gap is the orchestration layer between detection and resolution. That's what we close.
Anomalies surface and get triaged before a human opens an incident.
Agents correlate signals across your stack to a probable root cause — not just an alert.
Runbook actions execute under approval gates and full audit, so automation never goes rogue.
The workflow is the runbook. MsOpsAi runs with zero manual runbooks.
Modern IT environments generate thousands of signals a day. Most are noise; a few are early warnings of real incidents. The problem isn't knowing what to look for — it's sifting the noise to find the signal, then manually running the same playbook you wrote eighteen months ago.
AI-driven operations doesn't just detect — it diagnoses, triages, and resolves. Incidents that don't need a human are handled end-to-end; the ones that do are handed off with full context. We combine TurfAI's orchestration with AIOps-tuned templates built on Elastic and Red Hat — the stack your team already knows — for alert correlation, root cause analysis, auto-remediation, and escalation routing within guardrails you define.
Domain-tuned automation for the highest-volume, highest-cost operations in your industry.
Signals correlated across your monitoring stacks to surface the real ones.
Explainable RCA outputs prepared for human review.
Defined categories handled end-to-end — disk clean-up, service restart, config rollback.
Hand-offs arrive with full incident context pre-packaged.
Morning ops reports, SLA status, and runbook execution for known patterns.
Major incident declaration. Customer communication. Production changes outside defined playbooks. Security breach response. Every guardrail is configurable — your team decides where the AI stops.
We start with the operational workflow costing you the most — not a technology roadmap.
A pre-built, tuned workflow template goes live on TurfAI, wired into the systems you already run.
Configurable HITL controls sit at every decision that matters, so the people who use it trust the output.
We take it to production and stay accountable — a measurable outcome, not a science project.
These plus any authenticated REST API — connectors plug straight into the workflow.
Read repos and automate change actions through a typed MCP connector.
Open, update, and resolve issues over a ready workflow template.
Correlate alerts and run approvals in-channel.
Query operational data through a typed MCP connector.
Page on-call engineers for high-severity incidents.
Pre-built AIOps templates — alert correlation, root cause analysis, auto-remediation, and escalation routing. Built on Elastic and Red Hat. Configurable HITL for every decision outside defined remediation playbooks. From concept note to zero manual runbooks in weeks.
10× better than Workato.
AIOps templates are built on Elastic and Red Hat — the same stack your operations team already knows — so there is no unfamiliar tooling to adopt.
AIOps, observability, and incident management with Elastic and Red Hat — we run the infrastructure that runs your operations.
Explore →Ongoing management of your AIOps deployment — SLA-backed incident response, continuous tuning, and escalation ownership beyond go-live.
Explore →The DevOps and platform foundation — CI/CD, container orchestration, GitOps — that makes your operations reliable enough for AI to act on.
Explore →