We already have a monitoring stack. What changes?

Monitoring tells you something broke. AIOps tells you which one thing broke and what it took down with it, then handles the repeatable fix.

Is automated remediation safe?

Only for actions you have already scripted, tested and can reverse. We start in recommend-only mode and promote each runbook individually once its record is clean.

Telecom & Media · Network & IT AIOps

AIOps for the network you already operate

Fewer alarms, faster root cause, and outages caught before customers call.

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Alarm-to-incident compressionMean time to detect and to restoreChange-related incident rateAutomated remediation coverage

The problem

What this fixes

The NOC receives thousands of alarms for a handful of real faults, and the time lost to triage is the time customers spend without service.

Correlation and anomaly detection across network, infrastructure and application telemetry: alarm storms collapsed into incidents, probable root cause ranked with evidence, and automated remediation for the runbooks that are safe to automate. Built for NOCs drowning in events rather than short of dashboards.

Telecom & Media

Alarm correlation

Thousands of alarms collapsed to the probable root cause.

Telecom & Media

Anomaly detection on KPIs

Degradation seen before the complaint arrives.

Telecom & Media

Customer-impact scoring

Incidents ranked by affected subscribers and revenue, not by device.

Telecom & Media

Capacity planning

Cell and backhaul pressure forecast against the rollout plan.

In this sector

Where it earns its place

Delivery

How we build it

Foundation check

Before any build

We inspect the systems, the data behind them and the quality of the records this capability will depend on, then write down what has to be fixed before anything is built.

Narrow first release

First release

One workflow, one team, real traffic, measured against the baseline we captured before we started.

Controls and evaluation

Runs in parallel

Guardrails, approval gates, evaluation sets, logging and the evidence pack your auditor and your regulator will ask for.

Scale and hand over

After sign-off

Additional workflows, sites or languages, then runbooks and training so your team can operate it without us.

Data foundation

What has to be right first

Event, metric, log and trace streams with synchronised clocks.
A current CMDB or topology graph, including service dependencies.
Incident history with real resolution codes for supervised learning.
Change records, a large share of incidents follow a change.

Controls

Guardrails and KPIs

A human owns every consequential decision

Agents draft, route and execute reversible steps. Anything that moves money, changes a record of consequence or affects a person's rights stops at a named human approver with the reasoning attached.

Every action is logged and replayable

Inputs, retrieved context, model version, output and the human decision are written to an immutable log, so an auditor can reconstruct any single interaction months later.

Accuracy is monitored, not assumed

A held-out evaluation set runs on every model or prompt change, with drift alerts and a documented rollback path when quality moves.

Data stays where your regulator requires

In-country, in-region or on-premise deployment, with the model portfolio right-sized to the workload instead of routing everything to a frontier endpoint abroad.