CrushBank is an IT help desk application built on IBM's Watson technology, utilizing conversational AI to enable users to query their data through Microsoft Teams Chat. It automates ticket classification and workflow processes, reducing search times and escalation rates by up to 40%, thereby enhancing operational efficiency for IT support teams.
Funding
$5.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
IT support teams often struggle with inefficient data retrieval processes, leading to prolonged search times and increased ticket escalation rates. A significant portion of their workday is spent searching for information across disparate systems, hindering their ability to resolve issues promptly and effectively. This challenge is compounded by the difficulty in quickly onboarding new technicians who lack familiarity with the organization's knowledge base.
Solution
CrushBank provides an AI-powered IT support solution that leverages conversational AI and a private data lake to streamline data access and automate key workflows. By integrating with existing systems and ingesting relevant documentation, runbooks, and ticketing history, CrushBank creates a centralized, easily searchable knowledge base. This enables technicians to quickly find answers to complex queries, resolve tickets faster, and reduce the need for escalations. The platform's AI-driven automations, such as ticket classification and budgeting, further enhance operational efficiency and improve data quality. CrushBank's architecture, built on IBM watsonx, allows it to leverage multiple LLMs and AI models, using the best tool for each specific task.
Target Audience
CrushBank primarily targets Managed Service Providers (MSPs) and corporate IT service desks seeking to improve operational efficiency, reduce ticket resolution times, and enhance customer satisfaction.
Features
- Conversational search interface accessible through Microsoft Teams, Slack, or a web app
- AI-driven ticket classification, prioritization, and summarization
- Private data lake for secure storage and management of client-specific data
- Integration with existing IT service management (ITSM) systems
- Customizable AI models tailored to specific use cases and industries
- Automated ticket budgeting and time estimation
- Role-based access control to ensure data security and privacy
- Comprehensive knowledge management capabilities, including document ingestion and indexing