Hi Community,
As part of my ongoing learning projects in a Personal Developer Instance, I explored the idea of building an AI Command Center within ServiceNow.
The concept was simple:
How can we create a centralized visibility layer that aggregates operational signals and presents intelligent insights for faster decision-making?
This was not using licensed AI features, but rather simulating intelligent behavior through structured logic and workflow design.
Here’s what I experimented with:
• Aggregating incident, change, and alert data into a unified dashboard
• Simulated anomaly indicators based on defined thresholds
• Priority heatmaps for service impact visibility
• Recommendation panels driven by scoring logic
• Executive-style summary view for operational awareness
The goal was to explore how service leaders could move from reactive monitoring to insight-driven action.
This learning exercise reinforced that visibility and structured data modeling are foundational before introducing advanced AI capabilities.
Question to the community:
How are you improving operational visibility across ITSM and ITOM workflows in your implementations?
Happy to learn from your experiences.
