5 n8n Workflows That Will Save Your MSP 10 Hours Per Week

🔁 Workflow 1: Auto-Generate Weekly Client Health Reports

What it does: Pulls ticket data from your PSA (Syncro, ConnectWise, Autotask), open alerts from your RMM, and patch compliance status — then emails a branded PDF summary to each client every Monday at 8 AM.

Tools needed: n8n, your PSA API, your RMM API, HTML/PDF node

Setup:

1. Add a Schedule Trigger (Monday 8:00 AM)
2. HTTP Request node → PSA API (GET /tickets?status=open&client_id={{$json.clientId}})
3. HTTP Request node → RMM API (GET /devices?client_id={{$json.clientId}}&patch_status=non-compliant)
4. Set node → build HTML report template
5. Convert to PDF (use n8n's HTML node + external PDF API like PDFShift)
6. Gmail node → send to client contact

🎫 Workflow 2: AI-Powered Ticket Triage

What it does: New tickets from email/web form get automatically categorized, prioritized, and assigned to the right tech — with an AI-generated suggested resolution.

Tools needed: n8n, OpenAI or Azure AI, your PSA

Setup:

1. Webhook trigger (or email trigger)
2. OpenAI node → classify ticket (category, priority, suggested tech, estimated resolution time, suggested first response)
3. HTTP Request → create ticket in PSA with all fields pre-filled
4. Slack/Teams node → notify assigned tech with AI summary

The prompt that works:

You are an MSP tier-1 triage assistant. Analyze this ticket and return JSON:
{
  "category": "hardware|software|network|security|account|other",
  "priority": "P1|P2|P3|P4",
  "estimated_minutes": number,
  "suggested_tech": "tier1|tier2|tier3|security",
  "suggested_response": "first response to send to client",
  "internal_notes": "what to check first"
}
Ticket: {{$json.body}}

📊 Workflow 3: Monthly Invoice + Utilization Report

What it does: Pulls all time entries and billed vs. actual hours per client, flags accounts that are over/under their managed service agreement, and sends a summary to your account managers.

Setup:

1. Schedule Trigger (1st of month, 7 AM)
2. HTTP Request → PSA time entries API (last 30 days)
3. Code node → calculate utilization % per client
4. IF node → flag clients >90% or <50% utilization
5. Gmail/Slack → send flagged clients to account manager
6. Google Sheets → log monthly utilization history

🔐 Workflow 4: Security Alert Escalation + Client Notification

What it does: When your RMM or SIEM fires a security alert above a threshold, it automatically opens a priority ticket, notifies the client, and sends an internal Slack alert — all within 2 minutes.

Setup:

1. Webhook trigger (from RMM/SIEM webhook)
2. Switch node → severity routing (Critical/High/Medium)
3. HTTP Request → create P1 ticket in PSA
4. Gmail node → send client notification (templated)
5. Slack node → #security-alerts channel with full context
6. PagerDuty/Twilio node → SMS/call for Critical alerts

🤖 Workflow 5: AI-Written QBR Prep Package

What it does: Before each Quarterly Business Review, automatically compiles 90 days of data and uses AI to generate a draft QBR presentation outline, talking points, and a list of upsell opportunities based on the client's ticket and usage history.

Setup:

1. Schedule Trigger (2 weeks before each QBR date — store QBR dates in Google Sheets)
2. HTTP Request nodes → pull 90 days: tickets, resolved issues, uptime, patch compliance
3. OpenAI node → generate QBR narrative (use GPT-4)
4. Google Docs node → create draft document from template
5. Gmail node → send draft to account manager for review

The QBR prompt:

You are an MSP account manager preparing a Quarterly Business Review for {{client_name}}.
Here is their last 90 days of data:
- Total tickets: {{ticket_count}} ({{resolved_count}} resolved, avg resolution {{avg_hours}}h)
- Uptime: {{uptime_percent}}%
- Patch compliance: {{patch_percent}}%
- Top issue categories: {{top_categories}}
- Open projects: {{open_projects}}

Generate:
1. Executive summary (2-3 sentences, business-focused not technical)
2. Key wins this quarter (3 bullet points)
3. Areas of concern (2-3 items with recommended actions)
4. 3 upsell opportunities based on the data
5. Goals for next quarter