The first example is from a large global insurance company and is designed for the IT operations team. Consider a complex IT environment with tools like Confluence, Jira, New Relic, ServiceNow, Splunk, Sumo Logic, and Datadog. The challenge is correlation.
When a ServiceNow incident occurs, it can be difficult to immediately understand what it involves. Teams often need to open 10 different tabs to review system-wide metrics, logs, tickets, and alerts. What Unframe does is integrate these systems and correlate them to create a coherent story.
For example, here we are looking at a ServiceNow incident and immediately see related logs, related metrics, related tickets, and recommended actions. In some cases, there are recommendations simply because someone has already worked on them. This is not a typical chat interface. Your IT team should do a thorough investigation.
But you can chat with your data when you need to, whether it’s asking questions about specific incidents, digging into trends, or seeing long-term performance. Managers can view dashboards, drill down into incidents, and always see the underlying data.
All solutions within a customer environment share something called a knowledge fabric. I’ll switch tabs here to show you that visually.
This represents what AI understands about your organization, how your systems and data are connected, allowing all AI use cases to work together and build on each other. Keith: Okay.
