There’s a growing consensus in the AI business that smaller models often provide better, more accurate results than larger ones. Why? Smaller models leave less room for error and hallucination, reducing the chances of false or misleading information. For Managed Services Providers (MSPs), this precision is essential, particularly when handling the complex, repetitive, and high-volume tasks involved in IT support.
But what if MSPs could take their entire ticket history and convert it into a powerful AI model that could be easily queried and deliver highly accurate results every time? Imagine a model trained specifically on the types and subtypes of tickets your team deals with daily. It would be capable of reading an incoming ticket, classifying it instantly, and identifying what information is required to resolve it accurately. Even better, it would generate a list of documentation, citing exactly where it sourced its answers within your system—no guesswork, just clear and reliable references.
This isn’t just a vision of the future—it’s a reality.
Introducing CrushBank’s AI-Powered Ticket Model
Since 2018, CrushBank has been at the forefront of developing and refining AI solutions tailored to the needs of MSPs. We’ve created an AI model specifically designed to handle the ticketing systems MSPs rely on every day. By training the model on your specific ticket types and historical data, we empower it to read and classify incoming tickets with remarkable accuracy.
Here’s how it works: The model uses natural language processing to analyze the content of a ticket, recognizing patterns that indicate what type of request it is and what subtype it falls under. It then pulls relevant documentation from your system to resolve the issue and provides clear citations, ensuring your team knows exactly where the information came from. This kind of contextual awareness transforms how MSPs handle support tickets, enabling faster response times and more reliable resolutions.
Why MSPs Need CrushBank’s AI Model
As your MSP grows, so does the volume and complexity of the support tickets you handle. Relying on manual processes or generic AI solutions simply isn’t enough to keep up with the demand. CrushBank’s model has been fine-tuned for years, understanding the unique workflows and challenges of MSPs. It’s the one upgrade you can make to your Professional Services Automation (PSA) tool that will enhance the system and empower every employee who relies on it for answers and support.
Think of it this way: It remembers what you don’t. When a technician faces a ticket that references a solution used six months ago, the model can recall it instantly. It finds what you can’t. When your team is too busy to sift through layers of documentation, the model pulls the most relevant and accurate information at lightning speed. And it shows up every day, ready to crush it, handling tasks that free up your team to focus on more complex and value-driven work.
AI That Evolves with Your MSP
Unlike generic AI models, CrushBank’s solution evolves alongside your MSP. As more tickets are processed and more data is accumulated, the model becomes even more accurate, learning from your ticketing patterns and improving its recommendations over time. It’s a self-sustaining system that gets better the more you use it.
By integrating this AI-powered solution, MSPs can not only streamline their ticket management processes but also enhance their service levels. Faster resolutions lead to happier clients, and with the model handling the heavy lifting, your team can concentrate on strategic initiatives that drive business growth.
CrushBank: AI that Works for You
The future of MSP ticketing is here, and it’s smarter, faster, and more reliable than ever. CrushBank’s AI-powered model is designed to fit seamlessly into your existing PSA, requiring minimal effort to implement but delivering maximum impact. If you’re ready to supercharge your IT support processes, reduce manual errors, and provide more accurate, faster ticket resolutions, this is the solution you’ve been waiting for.