Tech Ops
AI for technology operations
Agents that triage, correlate and remediate across your estate — with your engineers supervising the decisions that matter and a full audit trail behind every action.
Technology operations is where volume, noise and tacit knowledge collide. The runbook exists, but it lives in three wikis and one person's head; the alert fires, but nobody knows if it matters. Magnigent turns that tacit process into an executable specification, runs it with agents that can read your monitoring, ticketing and configuration systems, and escalates to a human the moment confidence drops below the threshold you set.
Use cases
Where tech ops gets automated first
Alert and alarm triage
Correlate related signals, suppress known noise, attach the relevant runbook, and escalate with a packaged context bundle instead of a bare page.
Service desk L1/L2
Classify intake, enrich with live system state, resolve known issues end to end, and route the rest with the diagnostic work already done.
Incident command support
Assemble the timeline as it happens, draft internal and customer comms, keep the status page current, and produce the first draft of the postmortem.
Change and release operations
Draft the change record, score risk against historical outcomes, prepare the CAB packet, and verify that rollback actually works.
Cloud and infrastructure hygiene
Continuous rightsizing, orphaned resource reclamation, tag compliance, and commitment coverage analysis with owner-routed recommendations.
Data pipeline operations
Failure triage, schema drift detection, cross-system reconciliation, and data quality exception handling before the dashboard lies to someone.
Vulnerability and patch operations
Triage CVEs against real exposure rather than raw CVSS, schedule remediation, and keep the exception register defensible.
Documentation currency
Keep runbooks, architecture notes and API references in step with what actually shipped, flagged by diff rather than by calendar.
AgentOps
Monitor the AI agents you already run: latency, containment, cost per resolved task, drift, silent failure and permission scope.
How it works
From tacit process to supervised operation
Every engagement follows the same four moves, whichever function it starts in — run by a forward deployed engineer embedded with the team that owns the process.
Connect the systems of record
Monitoring, ITSM, CMDB, source control, cloud accounts. The knowledge layer maps entities and relationships across them so an agent can reason about your estate, not a generic one.
Capture the process as a specification
Runbooks, escalation policies and the unwritten rules your best engineer applies at 3am become versioned, testable process definitions.
Run with supervision and evals
Agents execute inside scoped tool permissions. Every process carries a regression suite, so quality is measured continuously rather than asserted once.
Expand what runs unattended
Start with recommend-only. Promote steps to autonomous as the eval history earns it, and keep the human path for everything that has not.
Let's talk about the first process
Tell us the operation that costs the most and is documented the least. We will tell you honestly whether it is a good first candidate.