Use your own data to
build automations, AI models
and data classifications

CrushBank's ticket automations streamline IT support by categorizing tickets accurately with SmartClassifier, predicting resolution time through automated budgeting, prioritizing issues based on urgency and clients, and summarizing ticket issues and resolutions.

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Integrate the data you want, on your own timeline

CrushBank’s SmartClassifier can auto categorize data and ticket types for your core system as well as for the companies you acquire, letting you build a consistent method of categorization, and historically recategorize tickets as well.

  

Cut ticket escalations by half

Technicians can fix many more problems themselves using the information presented to them by CrushBank, avoiding the need for escalations to more expensive resources. Those higher-level engineers can focus their time on the most challenging problems.

  

Deliver a seamless customer experience

CrushBank gets the technician the relevant information they need to solve a client’s problem. Being able to quickly access historical information reassures the client that the technician knows what’s going on with the account.

 

Empower your teams

The most painful leakage for ITSMs is the loss of technical talent with IT support roles turning over at 46% per year. By simplifying workflows and allowing them to spend less time searching, their satisfaction and retention will be higher.

Keep and Access All Your Data, But Stop Paying for Inactive Platforms

Save money by capturing all the data from acquired systems while decommissioning the platforms at your desired pace. Employees still have access to all the data they need, through a single interface.

Maintain and Grow Customer Service Levels

Engineers can keep their level of knowledge and understanding of clients' environments by retaining access to all historical data. Clients are not exposed to any gaps in data or event history.

Create Smart Data To Drive Your Integrations, Analytics And More

Increase your data leverage by standardizing across acquisitions and even run the numbers on a target acquisition against your own at LOI stage. Enrichen the data with AI-driven insights. Use it inside other SaaS platforms to help engineers, management and clients.