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Autonomous remediation: AI agents resolve tickets end-to-end

Most RMMs generate alerts — and leave the resolution to the operator. OneLog goes a step further: AI agents work through defined incidents independently, with a measured success rate and a degree of autonomy you set yourself per environment.

From alert to resolution — without an operator in between

Conventional RMMs are good at detecting: a service hangs, a patch is missing, a disk is filling up. What happens next is manual work. The operator reads the ticket, diagnoses, runs a script and closes the case. For recurring standard incidents, that is expensive routine.

OneLog reverses this sequence. For defined incident classes, AI agents take over the complete path — detection, diagnosis, action, verification — and close the ticket themselves. The operator is only brought in for what genuinely needs a decision.

The Autonomy Mode: control in four levels

Autonomy is not all-or-nothing. In OneLog, you set the degree per environment:

  • Off — the agent remains passive; you continue to work manually as before.
  • Recommend — the agent diagnoses and proposes the action; a human executes it.
  • CAB Approval — the agent is ready to act but waits for approval from the change advisory board.
  • Full + Audit — the agent acts independently; every step is logged completely and in an auditable way.

This allows trust to be built up step by step: observe first, then approve, then let it run — and separately for each environment. A test tenant may go further than the production environment of a KRITIS (German critical infrastructure) operator.

A measured success rate instead of promises

Automation is only worth as much as its reliability. That is why, in the AI Operations Hub, every remediation carries a measured success rate — derived from actual runs, not marketing assumptions. Added to this are a run counter and a risk level per workflow.

That turns the transition between autonomy levels into a data-driven decision: a remediation that performs stably over hundreds of runs can be raised from CAB Approval to Full. A new or uncertain one stays in Recommend mode until the numbers are right.

Why this holds up in regulated environments

Autonomy and verifiability are not a contradiction — provided the tool is designed for it:

  • Fit for change management. CAB Approval integrates automated interventions into existing approval processes.
  • Auditable. In Full mode, every run produces a complete record — who, what, when, with what result.
  • Sovereignly operated. The agents run EU-sovereign in the STACKIT Sovereign Cloud, with no US cloud exposure.

In perspective

Autonomous remediation does not replace the team, but its routine burden. Standard incidents run automatically and verifiably; the team concentrates on the cases that genuinely require judgement. With the adjustable Autonomy Mode, you keep your hand on the dial at all times — from cautiously observing to fully autonomous.

OneLog Autonomy Mode: four levels from Off through Recommend and CAB Approval to Full + Audit
Autonomy Mode: the degree of AI autonomy is adjustable per environment.
OneLog AI Operations Hub: autonomous remediations with measured success rate, run counter and risk level
AI Operations Hub: every auto-remediation with a measured success rate.

Frequently asked questions

What is autonomous remediation?
Autonomous remediation means that AI agents work through a defined incident independently, from detection to resolution — instead of merely generating an alert that an operator has to handle manually.
How do you keep control with autonomous remediation?
Via the Autonomy Mode: per environment, you can set whether the agent only recommends (Recommend), obtains approval (CAB Approval) or acts fully (Full). Every run is logged in an auditable way.
How do I know whether the automation works?
Every remediation has a measured success rate based on previous runs. That lets you see per workflow how reliably it performs before you raise it to a higher level of autonomy.
Can autonomous remediation be used in regulated environments too?
Yes. Via CAB Approval and the complete audit log, the process can be integrated into change management and NIS2 evidence. OneLog is operated EU-sovereign in the STACKIT Sovereign Cloud.

See OneLog in your environment

Monitors and maintains your IT remotely and fixes many incidents automatically — hosted in the EU, with no dependency on US cloud providers. NIS2 requirements are built in from the start.