AI-Powered Mail-to-Ticket

Every Email Becomes a Ticket Automatically

Cheetah’s AI-powered mail-to-ticket module instantly converts every support email into a tracked service request. No manual logging, no missed requests, no SLA breaches.
Live Feed Monitor
Captured Emails
VPN disconnected 09:14
VPN keeps dropping while working remotely...
Urgent
Printer setup request 09:22
Cannot access the 3rd floor printer, driver...
New
AI
Analyzing & routing
Created Tickets
#4821 - VPN Issue SLA: 2h
Network Team Assigned
#4822 - Printer Setup SLA: 4h
Support Team Assigned
AI-Powered Mail-to-Ticket

Problem & Solution

CURRENT STATE

Unmanaged Access

Support requests get buried in shared inboxes — no one takes ownership.
Multiple agents reply to the same email, or no one replies at all.
You only find out about an SLA breach when the customer complains.
There's no visibility into how many requests are open, pending, or resolved.
Attachments, log files, and screenshots are never properly recorded.

WITH CHEETAH

AI-Powered Mail-to-Ticket

Every email is automatically converted into a ticket with instant ownership assignment.
A unique ticket number eliminates duplicate replies and confusion.
The system alerts before SLA breaches and triggers escalations automatically.
Response time, resolution time, and user satisfaction are monitored in real time.
Attachments are added to the ticket automatically and analyzed by AI.
Features and Benefits

Transform Your Support Process
with AI-Powered Mail-to-Ticket

Automated Ticket Creation 

Every email sent to your designated support address is analyzed by AI and instantly converted into a ticket — complete with title, description, incident type, and priority level. Requests are routed to the right team without any human intervention, faster and with less room for error. 

Automated Ticket Creation

Full Visibility & Traceability 

All email communication is centralized in a single platform. Every ticket is stored with timestamps, assignee details, and status updates — eliminating the risk of lost or forgotten requests. “Where did that email go?” becomes a question of the past. 
Support Request Tracking

SLA & XLA Tracking 

Since every ticket is logged with a timestamp, response time, resolution time, and user satisfaction metrics are easily measurable. SLA and XLA indicators are calculated automatically, and alerts are sent before a breach occurs. 

SLA Tracking

AI-Powered Response Management 

When a ticket is created, an automatic notification is sent to the user. The AI can generate personalized first responses — and even suggest solutions — based on the email content. This reduces the load on the service desk while increasing resolution rates. 
AI Customer Support Automation
Step by Step

How Does AI-Powered Mail-to-Ticket Work?

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Email Arrives

A user sends an email to your support address. All content is forwarded to the platform — including attachments, screenshots, and log files.
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AI Analyzes

The AI reads the email content and automatically determines the subject title, description, incident type, and priority level. Spam and phishing attempts are filtered out.

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Ticket is Created

A ticket number is assigned, the request is routed to the relevant team, and an automatic notification is sent to the user. The SLA clock starts.
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Track & Resolve

Status updates are automatically communicated to the user. A satisfaction survey is triggered upon resolution. KPI and SLA reports are updated in real time.

Usage Scenarios

Who Uses AI-Powered Mail-to-Ticket ?

IT Service Desk 

Enterprise Support Teams

We were receiving over 200 support emails a day. With AI-powered mail-to-ticket, every single one is automatically converted into a ticket and routed to the right team. Not a single request gets lost anymore.

Zero Missed Requests

Operations Team 

Field and Technical Service

Fault reports from field teams no longer sit waiting in an inbox. Every report is instantly converted into a ticket, the SLA clock starts, and the relevant technician is notified.

SLA Breaches Prevented

Service Manager 

ITSM Process Management

Reporting is so much stronger now. With AI-powered mail-to-ticket, every request has a logged open time, assignment time, and resolution time. We walk into KPI meetings with real data.

Data-Driven Decisions Made
S.S.S

Sıkça Sorulan Sorular

How does an AI-powered mail-to-ticket system work? 

An AI-powered mail-to-ticket system automatically detects incoming emails sent to a designated support address and converts them into service tickets. The AI analyzes the subject line and body to populate the relevant fields — title, description, category, and priority — without any manual input, ensuring every request is instantly queued for processing.

AI handles categorization, priority assignment, and automated resolution suggestions by analyzing incoming email content. AI-powered platforms can also review historical tickets to recommend the most appropriate resolution path — reducing first response time and service desk workload significantly.

Yes. Multiple email addresses can be defined for different departments or service types. Requests arriving at each address are automatically routed to the corresponding team and ticket category.

It acts as a central intake point, making all requests organized and fully traceable. Proper routing, SLA tracking, and reporting become significantly more efficient. When integrated with a knowledge base, it can instantly suggest solutions to common issues — reducing ticket volume and service desk load.

Files attached to emails — such as log files, screenshots, or documents — are automatically added to the corresponding ticket. With AI integration, log files can be scanned for error codes automatically, helping support teams reach the root cause faster.

The system is protected with secure connections and authentication steps. Filtering rules — such as only processing emails from whitelisted addresses — prevent unwanted content from entering the system. The AI further enhances security by detecting potential spam and phishing attempts.

The system sends automatic alerts to the responsible agent and their manager before the SLA deadline. If a breach does occur, the ticket is escalated according to pre-defined rules. The entire process is logged and reflected in KPI dashboards.

Any organization that receives a high volume of support requests benefits significantly. IT service providers, software companies, e-commerce platforms, and enterprise service organizations gain the most. Businesses that enhance their processes with AI achieve higher customer satisfaction with fewer resources.

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