INTELLIGENCE OVERVIEW
Grid Decision Dashboard
Continuous learning loop · Transmission Planning · Q1 2025
TREND
IQ
Detect
Signals & Anomalies
→
DECISION
IQ
Decide
Strategy & Planning
→
ACTION
IQ
Execute
Kanban Workflow
→
EFFECT.
IQ
Learn
Outcome Measurement
∞ continuous learning feedback
Active Initiatives
14
↑ +3 this week
Signals Detected
47
↑ AI found 12 new
Tasks In Progress
31
↑ 8 completed today
Cycle Time Reduction
-34%
↑ vs. 90-day baseline
Initiative Pipeline
by stage
Decision Accuracy
rolling 12-week
Functional Area Performance Live
| Functional Area | Active Initiatives | Avg Cycle Time | Accuracy | Trend | Status |
|---|---|---|---|---|---|
| Interconnection Studies | 6 | 4.2 days | 91% | ↑ +12% | Active |
| Transmission Planning | 4 | 6.8 days | 87% | ↑ +8% | Active |
| DER Integration | 3 | 3.1 days | 78% | → Stable | Review |
| NERC Compliance | 1 | 2.4 days | 96% | ↑ +4% | Active |
DETECT · TRENDIQ
Signal Feed
AI-detected grid anomalies, congestion patterns, and interconnection triggers
Thermal overload risk — North Corridor 345kV line
94%
confidence
Interconnection queue bottleneck — 8 studies stalled >30 days
89%
confidence
Solar+storage DER penetration exceeding 40% threshold in Zone 7
82%
confidence
Voltage violation pattern — recurring at three substations during peak
76%
confidence
New FERC Order 2023 compliance deadline — 90 days remaining
100%
confidence
← Select a signal to view analysis
DECIDE · DECISIONIQ
Initiative Workspace
Convert signals into executable strategies with AI-assisted task planning
Active Initiatives 14 total
Click a row to expand tasks
| Initiative | Impact | Owner | Priority | Status | AI Conf. | Actions |
|---|
EXECUTE · ACTIONIQ
Execution Kanban
Drag-and-drop task management across all active grid initiatives
INITIATIVE BOARD · Click a card to expand tasks ↓
LEARN · EFFECTIVENESSIQ
Outcome Measurement
Closing the loop — measuring impact and feeding learning back into the system
+34%
Decision Accuracy
vs. pre-IntelligenceIQ baseline
-61%
False Positives
Unnecessary engineering reviews
-47%
Review Time
Hours per study iteration
ZERO
Model Drift
System maintains peak performance
Initiative Outcomes cycle time vs. baseline
Learning Curve model accuracy over time
90-Day Impact Summary
Rework Reduction20–30%
Iteration Cycles−25–35%
Constraint ID SpeedFaster convergence
Cross-team ConsistencyHigher
Model DriftZero