Scale proven 26% material gains and >90% on-time delivery with AI—supporting 15-20% LEAP delivery increase while managing 5,000 engineers and $500M facility expansion
GE Aerospace's $1B supply chain investment creates a strategic opportunity for AI to multiply outcomes, reduce risk, and accelerate transformation.
GE Aerospace is investing $1B in supply chain modernization: hiring 5,000 engineers, deploying 550+ to supplier sites, expanding production capacity by $500M, and maintaining >90% on-time delivery while scaling to 200+ suppliers.
GE's proprietary lean operating model achieved breakthrough results: 26% material input increase, >90% on-time delivery (up from 50%), and deployed 550+ engineers to priority suppliers. Now need AI to scale these gains.
Anthropic's AI solutions serve as the "nervous system" connecting 5,000 engineers, 15+ priority suppliers, and $500M in new production capacity—enabling real-time visibility, predictive analytics, and automated compliance.
Risk-adjusted financial projections based on proven supply chain AI deployments and GE's FLIGHT DECK baseline performance
Methodology: Financial projections validated against Altana supply chain platform deployment and adjusted for GE Aerospace's existing FLIGHT DECK operational excellence baseline. All estimates include conservative risk factors and assume measured pilot validation before full-scale deployment.
Amplify your proven FLIGHT DECK success with AI—scaling from 15 suppliers to 200+ while maintaining >90% on-time delivery. Priority-ordered strategy building on your breakthrough results.
Scale your proven methodology 13x with AI-powered real-time SQDC monitoring, predictive capacity forecasting, and supplier risk intelligence. Enable 550 engineers to support 2,750+ effective sites—preventing disruptions 2-4 weeks in advance.
AI copilot for 550 deployed engineers providing instant quality incident resolution, automated AS9100D compliance documentation, and 24/7 expert guidance—accelerating dual sourcing from 90 days to 30 days.
Claude Code accelerates 5,000 new engineers with 2-10x developer velocity, reducing supplier integration projects from 6 months to 6 weeks, and enabling rapid development of advanced manufacturing software systems.
MCP-powered integration of SAP, PLM, MES systems across $500M facility expansion, enabling real-time production visibility, cross-system orchestration, and complete digital traceability supporting 15-20% LEAP delivery increase.
Explore six detailed scenarios showing AI in action—from quality incident resolution to executive decision support.
Muskegon turbine blade micro-cracks: From 24 hours to 6 hours resolution with AI-powered root cause analysis, automated CAPA generation, and $12M+ cost avoidance.
View Demo →Durham secondary supplier: From 6-9 months to 6 weeks with Claude Code accelerating ETL development, API integration, and testing—supporting 80% dual-sourcing goal.
View Demo →Real-time SQDC dashboard: Natural language executive queries generating comprehensive supplier network insights in 30 seconds vs. 24-48 hour manual reports.
View Demo →New engineer acceleration: From 6 months to 2 months onboarding with 24/7 AI mentor providing instant access to 15,000+ engineering documents and technical guidance.
View Demo →$51M Auburn facility: From 18 months to 3 months software development for production control, predictive quality, and MES integration with 96% print success rate.
View Demo →$25M capital allocation: From 2-3 weeks to 4 hours comprehensive analysis including financial modeling, risk assessment, and strategic recommendations with real-time executive Q&A.
View Demo →Deep-dive documentation covering strategy, business case, pilot scenarios, EASA compliance, and more.
Six visual, tabbed demonstrations with before/after timelines, code examples, metrics, and business value callouts for each scenario.
Explore Demos →How Anthropic AI supports GE Aerospace's EASA Part 21/145 compliance, SMS implementation for March 2025 deadline, and automated traceability per Part 145.A.42.
View EASA Strategy →40+ page comprehensive analysis covering four-pillar solution architecture, implementation roadmap, ROI framework, and technical integration details.
Read Strategy →