How to uncover AI agent use cases with the Customer Case Process Mining Evaluation project

[Damian Pascale]

This short video is part of a series designed to highlight how ServiceNow customers can start to identify process improvement opportunities using the Process Mining evaluation projects for Customer Cases that have been made available on their instances as of the Yokohama release.   These focused projects are designed to give you a feel for the power and value of the solution if you were to fully unleash it in your organization across all workflows and processes.

As part of the evaluation project in the Yokohama release, ServiceNow process mining can help identify where AI agents can improve the customer experience and align to key customer outcomes.

*You will want to use these Evaluation Projects in your production instance.  The necessary audit log data likely does not exist in your lower environments.

*For Yokohama instances, you must be on Patch 2 or above for the the evaluation projects to be available to analyze.

In this recording, we will showcase an example of how use cases for AI agents can easily be found using the Customer Case Process Mining evaluation project.

Using AI agents and automation can help resolve the easy and repetitive issues, the hard part can be how to find where to apply them. Process Mining makes it easy.

This evaluation project in Yokohama offers an example to accelerate AI deployment, ensuring smarter automation while keeping support agents available for complex issues.

Here is some additional Process Mining content that you might want to check out next:

• Guide to getting started with Process Mining
• What workflows (ITSM, CSM, HR, etc) is Process Mining available for?
• How to create your first Process Mining project (Washington DC experience)
• Planning your ServiceNow Process Mining program
• How to use Process Mining to identify process improvement opportunities
• Process Mining FAQ
• Process Mining Academy
• Am I ready for Process Mining?
• Benefits of running Process Mining in a production environment
• Why behind the KPI:  How Process Mining complements Performance Analytics
• Process Mining for external process data
• Automated Findings