Making AI and automation work for enterprise processes
Technologies are only as good as the input they get. For example, if you want an AI agent to automatically and accurately handle credit blocks, it needs to understand how your business actually operates and how it can operate better. It needs Process Intelligence. Celonis delivers Process Intelligence by combining process data (i.e., the objects, events, and relationships within your business systems) and business context (i.e. the process models, business rules, benchmarks and KPIs specific to your business) to create a living process digital twin of your organization—the Process Intelligence Graph (PI Graph).
The PI Graph shows you where value is hiding in your processes, and the Celonis Platform (with the PI Graph at its center) gives you the tools to capture it. That could be through a platform capability (such as the Process Explorer), a Celonis-built app (such as the Customer Service Control Center), a partner-built app (such as Celonis for Software Development Lifecycle Management - powered by Bloomfilter), or a custom-built AI copilot, assistant or agent.
One of the most exciting use cases for Celonis is AI-driven, intelligent automation.
Let’s say you’re managing a high-volume customer service operation. Your inbox is flooded with free-text service tickets, each carrying crucial but messy information. Some tickets are urgent, while others can wait. Manually triaging them is time-consuming and inconsistent. And, if you build an automation that incorrectly categorizes tickets as low priority that should be a high priority (or vice versa), you’re increasing rework for your customer service teams and will likely end up with angry customers. So, how do you extract the valuable signal from the noise of unstructured data? With Celonis’ AI Annotation Builder.
