Stabilizing Incident Prioritization with Practical AI Implementation

1. Client Context

A global support organization needed better prioritization without replacing its existing operational model. Leadership wanted AI that improved decisions, not complexity.

2. Problem (real-world)

Manual triage delayed critical incidents and created queue volatility.

3. Why It Happened

Legacy triage rules were static and lacked signal depth, causing high-impact incidents to compete with low-value requests.

4. What MJB Did

MJB deployed AI-assisted scoring inside existing workflows, added governance checkpoints, and aligned operations teams around measurable triage outcomes.