WorkOps for IT operations: Automate L1 and L2 support with AI and MCP

Table of contents

Why IT ops is ready for automation
Automating L1 support end to end
Semi-automating L2 with Zabbix
What this means for your team
Start with a WorkOps audit

TL;DR

Connect your helpdesk, knowledge base and monitoring tools through MCP. Let an AI agent handle repetitive L1 tickets end to end, and prepare ready-to-apply fixes for L2 technicians. Result: faster resolution, lower cost, humans focused on decisions that matter.

Why IT ops is ready for automation

Level 1 support is repetitive, predictable and process-driven. Tickets arrive in volume, follow known patterns and rarely need deep expertise. That makes them a perfect candidate for full automation. 

Level 2 support is more complex, but a large part of the work is still collecting logs, checking history and recommending a fix. AI agents can do both, if you give them the right context.

The key is MCP (Model Context Protocol), a standard from Anthropic that lets AI assistants talk to your tools through a single, predictable interface. If a tool has an API, there is usually an MCP server for it. 

Easy8 MCP already covers projects, issues, users and time entries, and the list keeps growing.

Automating L1 support end to end

In the demo, Petr built an n8n workflow that fully replaces a first-line technician:

• A webhook listens for new tickets in the Easy8 HelpDesk
• The agent pulls corrective actions from a SharePoint knowledge base
• Through Easy8 MCP, it reads historical tickets for similar issues
• It drafts a professional reply and sends it back to the customer by email
• The customer's response is automatically paired with the original ticket

A real example: a user reports SAP error 4004. The agent finds a matching past ticket, locates the matching entry in the knowledge base and emails the instructions back. No human touched the ticket.

One important rule in the system prompt is that the agent must use only the two trusted sources. No improvising from the open internet!

Semi-automating L2 with Zabbix

For L2, full autonomy is risky. Instead, AI becomes a smart assistant for the technician. The scenario:

1. Zabbix detects free disk space below 10% on a production server
2. It sends an email alert to a dedicated L2 mailbox
3. n8n catches the alert and triggers the AI agent
4. The agent reads historical tickets and their comments via Easy8 MCP
5. It writes a pragmatic, technical note directly into the new ticket

The technician opens the ticket and finds concrete Linux commands, for example connect with sudo and clean up Docker images. You can extend this with VPN details and credentials so the technician only connects and executes. Humans stay in control of production changes, but the thinking work is already done.

What this means for your team

Automating L1 and assisting L2 brings measurable benefits:

• Lower cost of operational support
• Faster detection and resolution times
• Shift from reactive firefighting to preventive analysis
• People focused on approvals and strategic decisions, not copy-paste work

Security matters too. For sensitive workloads, run n8n self-hosted next to your strategic applications. At Easy8, workflows under 500 executions per month stay in the cloud, heavier ones move to self-hosted instances.

Start with a WorkOps audit

If any of this sounds relevant to your team, book a 30-minute WorkOps consultation. We will look at your security setup, identify high-ROI operations and map your tech stack for MCP and automation opportunities.

Watch the full webinar recording on the Easy8 Group YouTube channel to see every demo, prompt and workflow in action.