Boost Resolution Rates Fast with Self-Learning AI Agents

Every unresolved customer interaction drains resources and slows growth, yet manually identifying gaps and building new automation takes months.

Join Product Management Director Dipkin Guglani, VP of Product Management Harish Batlapenumarthy, and PowerSchool to see how self-learning AI agents transform support case data into continuous resolution power. Instead of just flagging gaps, learn how Casey, the Help Agent automatically builds, tests, and deploys high-impact workflows to bridge coverage gaps, dramatically boosting self-service resolution rates while keeping your team safely in control.

What we will cover: 

• How Casey, the Help Agent, automatically analyzes case history to identify hidden service gaps and generate new agents/workflows to fill them.
• Best practices for deploying self-learning workflows that continuously refine performance using real customer interaction data.
• How to govern AI-generated workflows using human-in-the-loop controls, ensuring safety and precision before live deployment.
• Operational strategies to scale self-service resolution rates fast without expanding engineering overhead.
• Hear directly from PowerSchool in an exclusive interview as they share their experience with Casey.