Real-Time Gradient Descent — Loss Convergence
Backpropagation training · Updates every 20 iterations
Loss: —Iter: 0
Department Cost: Baseline vs AI Optimized
Monthly spend ($K)
Prediction Variance Map
Utilization % vs Contractor % · color = risk level
Labor Composition
FTE vs Contractor by headcount
Utilization Distribution
Workforce efficiency curve
6-Quarter Contractor Reduction Trajectory
Current path vs AI optimized path
SLA Score vs Utilization Bubble
Bubble size = headcount
Run vs Change Classification
Operational vs strategic spend split
Monthly Cost Projection
12-month AI optimization curve
Annual Savings Potential by Department
Top 10 savings opportunities identified by neural model
Risk Heatmap — Department × Risk Factor
Contractor ratio · SLA breach risk · Cost overrun · Tenure gap
SLA Compliance Distribution
Tenure vs Risk Score
Identifies institutional knowledge gaps
Workforce Optimization Intelligence Report
Run the Neural Engine to generate the AI report