Email-to-Ticket Automation
Industrial Components · 2025 · Customer Support Automation
Tickets are created automatically, around the clock, in the client's own cloud account. No backlog after weekends.
The challenge
An industrial components distributor ran its support inbox by hand. Every inbound email was read by a person. Every ticket was created manually — request type, customer data, attachments, all copied over one field at a time.
The work was repetitive and it never stopped. Requests piled up over the weekend. Monday morning started with a backlog, not with customers.
The company asked us about the inbox. Mapping the process found more: the ticket flow was one of several document flows worth automating — other paperwork moved through the company in the same pattern, with the same manual reading and retyping in the middle.
We mapped each flow and ranked them by ROI. The ticket flow came out on top: high volume, clear rules, a measurable outcome. That is the one we built first. The others went into the plan, with numbers attached, for the client to decide on later.
What we built
One channel, end to end: email in, ticket out. An email classification and ticket auto-creation pipeline that runs in the client's own cloud account.
- A classification agent reads each inbound email and extracts the structured data a ticket needs — request type, customer, attachments.
- N8N orchestrates the flow from inbox to ticket system.
- PostgreSQL stores the automation data and the statistics behind the dashboard.
- Emails, attachments and extracted data stay in the cloud account the client already owns and controls.
The design principle is simple: people handle exceptions, not the inbox. When the classifier is not confident about an email, it stops and routes it to a person, with everything it extracted already attached.
The share that goes to a person is not a failure rate. It is the perimeter we chose: an ambiguous request costs far more as a wrong ticket than as a slow one, so at the first sign of doubt a human decides.
Delivery took weeks, not months. The stack — orchestration, database, the agents on top — runs in the client's own cloud account and is an asset they own and reuse for the next automation. The chat channel on the same systems came later, and is a separate build.
The results
85% of tickets are now created automatically from inbound email. The team got back roughly 58 hours a month — capacity that went back to customers instead of to the queue. The inbox no longer has a Monday-morning backlog.
| Number | What it measures |
|---|---|
| 85% | of tickets auto-created from inbound email |
| ~58 hrs | per month given back to the team |
| 24/7 | email processed as it arrives, weekends included |
What you get
The inbound-email pipeline built on your systems and running in your own cloud account, plus the dashboard that shows what it classified and what it escalated. Process audit first, scope in writing, and 30 days of support. The same engine pointed at internal requests is Employee & IT Support Automation.
Not sure whether your inbox is a candidate? Start with the free AI Audit, or book a call and we will tell you honestly.