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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SmartClassifier

Automates the ticket classification process using advanced machine learning built on your tickets and practices. By analyzing incoming tickets and leveraging your historical data, it accurately categorizes tickets based on your organization's unique classifications.

  

Prioritizer

Assesses and assigns priority levels to incoming tickets by evaluating client urgency, issue complexity, and overall business impact. Utilizing your historical ticket data, it ensures your team efficiently addresses the most critical issues first.

  

Auto-Budgeter

Generates accurate time estimates for ticket resolutions based on analysis of similar historical tickets. By removing guesswork from time estimation, it allows for more precise planning, resource allocation, and improved workflow management.

 

Summarizer

Creates clear and concise summaries for both initial ticket issues and their final resolutions. By condensing detailed information into easily digestible summaries, technicians can quickly understand ticket context and documentation efforts are minimized.

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.