AI agents
AI agents for specific tasks: handling tickets, reporting, routine IT operations. Key decisions are always approved by a person.
- LLM
- tools
- human-in-the-loop
We build AI agents that work inside your systems, on your terms — with permissions, logs and limits set by people who do security for a living.
An illustration of how it works — sample data, not live readings from client systems.
$ claude run triage-01
› mcp.netops get_interfaces ✓
› guardrail: scope ok
› awaiting engineer approval
✓ approved · deployed · logged
AI agents for specific tasks: handling tickets, reporting, routine IT operations. Key decisions are always approved by a person.
We connect AI models to your systems securely. Access is controlled centrally, and passwords and keys never reach the model.
We bring AI into the tools your team already uses — helpdesk, email, documentation and monitoring — without changing how people work.
Minimal permissions, data protection and a complete record of every agent action. We also review AI solutions deployed by other vendors.
You tell us what challenge you face or what you want to build. From day one you talk to the engineer who will lead the project — not a salesperson.
We assess the current state: we inventory your devices, map the environment and point out risks and quick wins.
You get a clear scope, price and timeline in writing. No hidden costs, no fine print.
We implement, test and document the solution, then hand it over to your team. If you wish, we take over ongoing maintenance.
Describe the task that takes up most of your team's time and the systems involved. We will give you an honest assessment of whether an AI agent makes sense and propose a safe way to deploy it.