INTELLIGENCE THAT DOES THE WORK
Put AI on
the investigation.
Give every operator an agent that can gather evidence, test hypotheses and advance the work. Your network context stays connected from the first question to the final finding.
Beyond another alert summary
Let AI do the investigation work.
A grouped alert still leaves work to do: open the right portal, identify the device, pull metrics, run a check and explain the findings. Command|Monitor gives agents tools and connected context to advance that work.
From fragmented signals
Connect supported telemetry to asset, location and service context before the investigation begins.
To evidence gathering
Agents query logs and metrics, run active checks and adapt their investigation as new evidence arrives.
To a usable finding
Operators inspect the result, supply knowledge and direct the response in CommandLink or the agreed ITSM workflow.
INSIDE THE EXPERIENCE
See the work behind the answer
Bring the workflow into focus with a view of the product in action.
Understand. Investigate. Adapt.
A question starts the work. Evidence directs it.
Start from an alert or describe what to investigate in plain language. The agent establishes the affected scope, inspects related signals and builds an evidence-backed assessment.
Query the environment
Search logs, retrieve metrics and examine correlated alerts. Natural-language time windows become scoped queries.
Run active checks
Carry equipment context and operator feedback into the next investigation, with scoped memory and visible learning.
Adapt the investigation
Rewrite unsuccessful queries, break complex questions into smaller steps and incorporate new correlated alerts.
Work together
An investigation your team can build on.
Use a living document for findings, KPI rows, charts, event tables, topology, tool logs and human notes. Keep technical analysis and the conversation about it in context.
Inspect the evidence
Open the precise log lines, charts and raw tool results supporting a finding.
Direct the agent
Comment on findings, reply in threads and mention the AI when you want it to act. Add guidance while an investigation is running.
Reopen with new context
Return to a closed investigation with additional evidence or direction. Preserve the history as the work continues.
Learn and act
Make each investigation useful to the next.
Retain relevant equipment knowledge and operator feedback. Agents can help create and tune monitors, update case details and turn findings into reusable reporting.
Scoped operational memory
Retain preferences, constraints, equipment context and domain guidance at the appropriate user, device or company scope.
Monitoring
changes
Create, update and remove monitors through the agent workflow, with action records and limits on monitor creation.
Reports in natural language
Ask for a report, inspect its evidence charts, save it, schedule delivery or turn it into a dashboard.
Accountable by design
See what the agent did. Stay in command.
Agent activity is inspectable through tool-call records, parameters, results and duration. Durable workflows preserve progress; iteration limits and token tracking bound the work.
Visible activity
Follow investigation status and the live activity stream.
Human direction
Steer, cancel and reopen investigations rather than accepting an unexplained conclusion.
Resilient operation
Retries, circuit breakers and deterministic rule fallback support continuity when an AI provider is unavailable.
A few good questions
Get clear
on the details.
Can operators verify AI findings?
Can AI change the monitoring configuration?
Does AI remember our environment?
Your next operational advantage
Put AI to work.
Leave the sprawl behind.
Bring your stack and a recent incident.
See what your team can simplify.