Transform Your IT Support with CrushBank SmartClassifier
SmartClassifier leverages machine learning powered by your organization's historical ticket data to automatically categorize incoming tickets into the correct type, sub-type, or issue category. By learning from past patterns and outcomes, it ensures accurate and efficient classification tailored to your specific processes. This reduces manual effort, improves ticket routing, and accelerates resolution times, while continuously adapting to your evolving business needs.

Download The CrushBank
SmartClassifier Datasheet

Bring Structure to the Chaos

Optimize and Enrich Your Data
- Automate and implement ticket and time budgeting
- Make sure previous efforts are readily available
- Identify missing data - turn it into a task
- Don't start from scratch every single time
- Enable self-service for ticket deflection

Standardize Across Instances
CrushBank ingests all of your data into a single, unified data lake, allowing you to easily resolve multiple instances while keeping historical data and maintaining the value of your acquisition client data, ticketing history, intellectual property, and more.
Discover Where You Stand with Ticket Classification
Inaccurate or incomplete ticket classification leads to misrouted tickets, slower response times, and inefficiencies that cost MSPs time and money.
The CrushBank Ticket Classification Assessment gives you a clear picture of your current classification performance. Using secure API access to your ConnectWise, AutoTask, or Halo system, we analyze your ticket data and provide a report showing how many tickets are properly classified and where the gaps are.
This no-cost no-risk assessment helps you identify opportunities to improve efficiency and lays the foundation for automation using CrushBank’s SmartClassifier, which can classify tickets with over 90% accuracy.
Get insight. Drive efficiency. Request your assessment today.

Create Your Own Custom Model with CrushBank SmartClassifier
Most MSPs will be able to use, and should use, the standard model for automated ticket classification. In the event that this doesn't work for your
business, CrushBank offers the flexibility to create your own custom model with dedicated models for Type, Sub Type, and Item, with Item data as
the primary driver, fed by training data from historical ticket information.