Hours per engineer per week, before vs. after AI assist
Quality Event Disposition
NCR closure status — rolling 90 days
Signal Mix — Last 30 Days
By operational domain
AI Confidence Distribution
Across active recommendations
Top Production Risks — AI-prioritized
Highest-impact items pulled from TrendIQ
AI Operational Copilot
Live workflow optimizations the system is recommending
TrendIQ — Aerospace Signal Detection
AI continuously monitoring MES, Quality, FAA Compliance, Workforce, and Supply Chain systems for emerging operational risks
● Connected to 9 production systems
Active Signals
10
↑ 3 this week
Pattern Clusters
5
2 emerging
Cross-Domain Correlations
6
3 high-strength
RCAs in Progress
4
Avg conf 88%
AI Recommendations
5
Pending review
Signals 10
Patterns 5
Correlations 6
Root Cause Analysis 4
Recommendations 5
DecisionIQ — Initiative Management
Active aerospace production initiatives created from accepted signals, with AI-suggested follow-on tasks
8 active initiatives4 AI suggestions pending
AI Continuously Recommending
The system is learning from 2,147 historical aerospace manufacturing outcomes to improve every recommendation below
Initiative owners
93% acceptance
Task owners
88% acceptance
Closure paths
84% accepted
Follow-on tasks
73% accepted
ActionIQ — Execution Coordination
Two-tier Kanban: initiatives at the top, task drill-down on click
Initiatives Kanban
AI Operational Copilot
Live workflow optimizations across the production floor
Automation Opportunities
Workflows AI can orchestrate end-to-end (with ops lead signoff)
EffectivenessIQ — Organizational Learning
What worked, what failed, and how the system is getting better at aerospace manufacturing recommendations
● Continuous learning active
Outcomes Captured
2,147
↑ 183 this month
SME Corrections
247
→ model refinement
Initiative Success Rate
83%
↑ from 71% (Q1)
AI Recommendation Accuracy
91%
↑ 14pts vs baseline
Failed Closures Studied
38
Root-caused
Recent Learning Events
Outcomes from closed initiatives feeding back into the recommendation model
Improvement Over Time
Recommendation acceptance rate by quarter
What's Working (Reinforced)
Patterns the AI is doubling down on
What's Not Working (Down-weighted)
Patterns the AI is moving away from
KnowledgeIQ — Engineering Knowledge Intelligence
AI-powered knowledge copilot grounded in aerospace ontology, knowledge graph, and semantic search across PLM, MES, Quality, and Engineering repositories