How do I get started with automating IT support tickets using AI agents and a project management platform?

A practical starting point for IT support automation

The biggest mistake teams make is trying to automate everything at once. A more reliable approach is to pick one ticket category — a specific application error, a recurring access issue, a known configuration fix — and build a working end-to-end flow for that single case. Once it runs reliably, you expand to the next category. This keeps the project manageable and gives you measurable results quickly.

The tools you need

You do not need a large technology budget to get started. A typical WorkOps for IT operations setup involves:

• A helpdesk that can trigger a webhook when a new ticket arrives
• A workflow automation tool such as n8n or Make to orchestrate the agent's steps
• A structured knowledge base (SharePoint, Confluence or a simple document library) containing approved corrective actions
• An AI model with a clear system prompt that restricts it to trusted sources only
• An MCP-enabled project management platform like Easy8 to store ticket history, log time and track issue resolution

Building your first automated workflow

Once your tools are connected, the workflow follows a straightforward logic. The agent receives the ticket, classifies it, searches the knowledge base for a matching fix, checks Easy8 for similar past tickets and sends the approved resolution to the user. For L2 scenarios, add your monitoring tool (Zabbix is a common choice) to the MCP layer so the agent can include live infrastructure data in the summary it prepares for the technician.

Keep the scope of the agent tightly defined in the system prompt. Specifying exactly which sources it may consult prevents it from generating unreliable advice and builds the trust of your support team in the output. As confidence grows, you can widen the agent's scope incrementally, always with a human review step before any high-risk action is taken.