Case Study
Case Study
Unified AI Strategy for a Global Aerospace Leader
Company
Confidential (Global Aerospace Company)
Company
Confidential (Global Aerospace Company)
Company
Confidential (Global Aerospace Company)
Services
AI Readiness Audit · Stakeholder Alignment Workshops· Roadmap Development · Governance Framework Design · Growth Strategy
Services
AI Readiness Audit · Stakeholder Alignment Workshops· Roadmap Development · Governance Framework Design · Growth Strategy
Services
AI Readiness Audit · Stakeholder Alignment Workshops· Roadmap Development · Governance Framework Design · Growth Strategy
Industry
Airlines
Industry
Airlines
Industry
Airlines
Year
2022
Year
2022
Year
2022
A global aerospace company needed a cohesive AI strategy to unlock value across its newly merged divisions. They partnered with an AI advisory firm to align leadership, identify opportunities, and build a multi-year roadmap.
Dorian Levesque
Founder of Urban Threads
"This engagement gave us more than just a strategy — it gave us clarity. For the first time, our AI efforts are aligned across the organization. We know where to invest, what to prioritize, and how to scale. The roadmap didn’t just sit in a slide deck — it became our execution playbook"
Overview
A Fortune 500 aerospace manufacturer was flying blind when it came to AI. After multiple acquisitions, their analytics efforts were siloed, underperforming, and scattered across business units. While the ambition to become an AI-first organization was clear, the path forward wasn’t. We helped them design a unified AI strategy that would turn decades of operational data into a competitive advantage — starting with alignment, acceleration, and a clear governance framework.
The Challenges
Transforming a legacy enterprise into an AI-powered organization required tackling big obstacles:
Fragmented analytics landscape: Teams used different tools, metrics, and standards across departments.
Lack of AI governance: No structure to evaluate or prioritize AI investments.
Missed opportunities: Valuable data sat unused in silos.
Executive misalignment: No clear AI vision across leadership or functions.
Despite having top engineering talent and rich data, the company needed a strategy to bring it all together.
Our Approach
🧭 Phase 1: Maturity Assessment & AI Audit
We assessed 20+ business units to understand the current state of analytics, tooling, data readiness, and team capability. Gaps were identified, and AI potential was mapped to core business outcomes.
🧠 Phase 2: Stakeholder Alignment & Visioning
Through structured workshops and executive interviews, we built a shared AI vision across product, engineering, operations, and innovation teams — creating buy-in from C-suite to shop floor.
📊 Phase 3: Use Case Prioritization & Roadmap
From hundreds of AI ideas, we identified 296 high-potential use cases and modeled their impact. We then created a phased roadmap for delivery, resourcing, and governance — aligned to strategic business goals.
🏗️ Phase 4: AI Governance Design
To ensure long-term success, we co-developed an AI Center of Excellence, decision frameworks, and oversight models — so teams could innovate without chaos and risk.
Overview
A Fortune 500 aerospace manufacturer was flying blind when it came to AI. After multiple acquisitions, their analytics efforts were siloed, underperforming, and scattered across business units. While the ambition to become an AI-first organization was clear, the path forward wasn’t. We helped them design a unified AI strategy that would turn decades of operational data into a competitive advantage — starting with alignment, acceleration, and a clear governance framework.
The Challenges
Transforming a legacy enterprise into an AI-powered organization required tackling big obstacles:
Fragmented analytics landscape: Teams used different tools, metrics, and standards across departments.
Lack of AI governance: No structure to evaluate or prioritize AI investments.
Missed opportunities: Valuable data sat unused in silos.
Executive misalignment: No clear AI vision across leadership or functions.
Despite having top engineering talent and rich data, the company needed a strategy to bring it all together.
Our Approach
🧭 Phase 1: Maturity Assessment & AI Audit
We assessed 20+ business units to understand the current state of analytics, tooling, data readiness, and team capability. Gaps were identified, and AI potential was mapped to core business outcomes.
🧠 Phase 2: Stakeholder Alignment & Visioning
Through structured workshops and executive interviews, we built a shared AI vision across product, engineering, operations, and innovation teams — creating buy-in from C-suite to shop floor.
📊 Phase 3: Use Case Prioritization & Roadmap
From hundreds of AI ideas, we identified 296 high-potential use cases and modeled their impact. We then created a phased roadmap for delivery, resourcing, and governance — aligned to strategic business goals.
🏗️ Phase 4: AI Governance Design
To ensure long-term success, we co-developed an AI Center of Excellence, decision frameworks, and oversight models — so teams could innovate without chaos and risk.
Overview
A Fortune 500 aerospace manufacturer was flying blind when it came to AI. After multiple acquisitions, their analytics efforts were siloed, underperforming, and scattered across business units. While the ambition to become an AI-first organization was clear, the path forward wasn’t. We helped them design a unified AI strategy that would turn decades of operational data into a competitive advantage — starting with alignment, acceleration, and a clear governance framework.
The Challenges
Transforming a legacy enterprise into an AI-powered organization required tackling big obstacles:
Fragmented analytics landscape: Teams used different tools, metrics, and standards across departments.
Lack of AI governance: No structure to evaluate or prioritize AI investments.
Missed opportunities: Valuable data sat unused in silos.
Executive misalignment: No clear AI vision across leadership or functions.
Despite having top engineering talent and rich data, the company needed a strategy to bring it all together.
Our Approach
🧭 Phase 1: Maturity Assessment & AI Audit
We assessed 20+ business units to understand the current state of analytics, tooling, data readiness, and team capability. Gaps were identified, and AI potential was mapped to core business outcomes.
🧠 Phase 2: Stakeholder Alignment & Visioning
Through structured workshops and executive interviews, we built a shared AI vision across product, engineering, operations, and innovation teams — creating buy-in from C-suite to shop floor.
📊 Phase 3: Use Case Prioritization & Roadmap
From hundreds of AI ideas, we identified 296 high-potential use cases and modeled their impact. We then created a phased roadmap for delivery, resourcing, and governance — aligned to strategic business goals.
🏗️ Phase 4: AI Governance Design
To ensure long-term success, we co-developed an AI Center of Excellence, decision frameworks, and oversight models — so teams could innovate without chaos and risk.
The Results
The transformation was measurable and mission-critical:
$2M+ in AI-driven value opportunities uncovered across operations, MRO, and customer experience.
296 use cases identified and prioritized with clear impact and feasibility mapping.
3-year implementation roadmap delivered, complete with milestones, owners, and risk controls.
AI Center of Excellence established, providing long-term governance, resourcing, and prioritization.
Alignment across 20+ departments, from engineering and flight ops to executive leadership.
This wasn’t just an AI strategy — it became the blueprint for enterprise-wide transformation.
The Results
The transformation was measurable and mission-critical:
$2M+ in AI-driven value opportunities uncovered across operations, MRO, and customer experience.
296 use cases identified and prioritized with clear impact and feasibility mapping.
3-year implementation roadmap delivered, complete with milestones, owners, and risk controls.
AI Center of Excellence established, providing long-term governance, resourcing, and prioritization.
Alignment across 20+ departments, from engineering and flight ops to executive leadership.
This wasn’t just an AI strategy — it became the blueprint for enterprise-wide transformation.
The Results
The transformation was measurable and mission-critical:
$2M+ in AI-driven value opportunities uncovered across operations, MRO, and customer experience.
296 use cases identified and prioritized with clear impact and feasibility mapping.
3-year implementation roadmap delivered, complete with milestones, owners, and risk controls.
AI Center of Excellence established, providing long-term governance, resourcing, and prioritization.
Alignment across 20+ departments, from engineering and flight ops to executive leadership.
This wasn’t just an AI strategy — it became the blueprint for enterprise-wide transformation.
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Phone
Opening Hours
Mon to Sat: 9.00am - 8.30pm
Sun: Closed
8:09:22 AM
Sometimes the hardest part is reaching out — but once you do, we’ll make the rest easy.
Phone
Opening Hours
Mon to Sat: 9.00am - 8.30pm
Sun: Closed
8:09:22 AM
Sometimes the hardest part is reaching out — but once you do, we’ll make the rest easy.
Phone
Opening Hours
Mon to Sat: 9.00am - 8.30pm
Sun: Closed
8:09:22 AM