2026 Schedule
Session 804: AI-Driven Decision Support in ITSM: Templates, Predictive Reporting, and the Proactive Decision Cycle
Support Systems (DSS). Drawing from my doctoral research in AI-based decision architectures and real-world AI implementation projects, I will demonstrate how structured reporting templates, predictive analytics, and explainable models can convert operational data into risk-scored forecasts and actionable recommendations.
Attendees will learn how to implement a continuous Data → Prediction → Decision → Action → Measured Outcome cycle that enhances SLA performance, resource allocation, and operational stability while maintaining governance and transparency.
Takeaway
- How to redesign ITSM reports into structured decision-support templates
- A practical Prediction → Decision → Action cycle for service operations
- Methods for embedding AI-based risk scoring into routine reporting workflows
- Governance and explainability principles for AI-assisted service management
- A phased roadmap for moving from reactive reporting to proactive service intelligence