AI agents

Six agents. One operations team.

Each Rapax agent owns a job with a defined mandate: briefing, inventory, knowledge, tier-1 support, notification and integration. They do the watching, sorting and paperwork. Your people make the calls, and changes to your network or configuration wait for a person to confirm them.

AI usage report: requests, response times and tokens per assistant per day
Every request, per assistant, per day. Lab system.
What an agent does

Not a chatbot bolted onto a dashboard.

Most AI in operations reads what the monitoring stack produced and writes a paragraph about it. That saves reading time and nothing else. A Rapax agent owns a job inside a mandate, works from the same record as the rest of the platform, and hands off to a person with context attached when the job needs judgment.

Meet the agents

Who does what.

O

Oscar

Operational Status Command Advisor & Reporter
Trigger
Someone asks what is happening, or a shift changes.
What it does
Briefs from the live console: open incidents, affected services and customers, SLA exposure and what is waiting on a person.
Result
A briefing, not a dashboard. Ask Oscar from any page.
N

Nora

Network Operations Resource Architect
Trigger
You import an as-built drawing, describe a network, or ask what connects to what.
What it does
Reads the drawing or description, proposes the devices, links and services it shows, and answers topology questions in plain language.
Result
Monitoring built in minutes from documents you already have. Nothing is monitored until you approve it.
W

Wade

Wisdom Assisted Documentation Engine
Trigger
An engineer or another agent asks how to fix something.
What it does
Retrieves the runbook, procedure or vendor document and answers from it, citing the source.
Result
Grounded answers. If the procedure isn’t documented, Wade says so rather than improvising.
F

FRANK

Frontline Response And Knowledge Navigator
Trigger
A customer opens a ticket or asks a question in the support portal.
What it does
Answers first from your knowledge base, asks for missing details, and hands off to an engineer with the context attached.
Result
First-line questions answered before they reach a person; the rest arrive with context attached. Every reply is labeled as coming from an AI assistant.
G

Grace

Global Response Alert Communications Engine
Trigger
A service event is confirmed, or a stakeholder needs an update.
What it does
Composes and sends notifications through your notification profiles, respecting subscriptions and quiet hours.
Result
Nobody stops working the fault in order to tell people about the fault.
B

Bruce

Business Rules Upgrade Customization Engineer
Trigger
A new device type, vendor or external system needs connecting.
What it does
Builds the integration, with tests, and submits the code for review.
Result
Adding a source no longer needs a professional services engagement.
Behind the six, background analytics jobs run continuously: baselines every hour, anomaly checks every 30 minutes and capacity forecasts hourly. They raise alerts with their evidence attached.
Nora in action

From network drawing to monitored network.

1

Import

Upload an as-built drawing or describe the network in plain language.

2

Propose

Nora proposes the devices, links and services the drawing shows.

3

Review

You approve, edit or reject each one. Nothing is monitored until you approve it.

4

Monitor

Approved devices start polling, correlating and building baselines.

Nora proposal review: devices and links waiting for approval before anything is monitored
Nora’s proposal waiting for review. Demo network.
Wade in action

The runbook answer, with its source.

A fiber cut takes down a PON. Correlation collapses 32 ONT alerts under one root cause. Ask Wade what to do and the answer comes from your own runbook, with the document cited, so the engineer on shift does what your best engineer would.

Wade answering how to fix a fiber cut from the operator runbook, with the source cited
Wade answering from the operator runbook. Demo data.
Guardrails

What stops them from making things up.

The failure mode of AI in operations is confident, wrong and fast. Rapax addresses it in the design, not with a better prompt.

Grounded

Answers come from your runbooks and documents, cite their sources, and say when the documentation doesn’t cover the question.

Confirmed

Agents draft, propose and recommend. Changes to your network or your configuration wait for a person to confirm them.

Your provider

Choose Ollama on your own network, or bring your own key for OpenAI, Anthropic, Gemini or Grok. You control the provider and its data terms.

Measured

Requests, tokens and estimated cost are reported per assistant, model and day, so AI spend never surprises you.

Sources and notes
  1. Gartner, April 2026: only 28% of AI use cases in infrastructure and operations fully pay off; success comes from building AI into existing workflows.
  2. Agent names: Oscar, Nora, Wade, FRANK, Grace and Bruce. FRANK always carries an “AI assistant” label in the customer portal.

See them work on your own network.

Request your free 14-day evaluation. Connect your AI provider at first sign-in and the agents start working with your data.

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Prefer to talk first? Book 15 minutes or email sales@rapax.us.