
Transforming an Aerospace Division with AI & Human-Centered Change Management

Background
An aerospace division with 5,000 engineers sought to adopt AI to improve efficiency, foster data integration, and generate insights into complex problems. However, they faced significant internal hurdles, including a lack of alignment on strategy, fears of disrupting existing processes, and uncertainty about evolving roles, responsibilities, and maintaining quality.
Motis OneAI’s Engagement
Motis OneAI partnered with the division to design and implement a tailored human-centered process for AI adoption, blending technology integration with cultural transformation.
Steps to Success
1. Workshop: Creating Alignment and Identifying Pressing Problems
Motis OneAI facilitated a dynamic half-day workshop with a cross-section of stakeholders, including engineers, managers, and executives.
This session:
• Clarified key issues and diverse perspectives.
• Created alignment around shared goals and challenges.
• Identified the most pressing problems for AI to address.
• Emerged with a general roadmap for moving forward.
By the end of the workshop, stakeholders felt heard, engaged, and united in a clear, actionable direction.
2. Comprehensive Audit: Understanding the Current State
An audit of the division’s existing systems, processes, and culture revealed critical gaps and opportunities:
• Identified inefficiencies and data silos limiting collaboration.
• Assessed the preparedness of employees and infrastructure for AI integration.
• Highlighted areas where AI could deliver the most immediate value without disrupting core operations.
3. Reporting Back: Establishing the Foundation for Change
Motis OneAI presented a detailed report outlining:
• The division’s current state and readiness for AI adoption.
• Specific recommendations for addressing gaps in strategy, technology, and human systems.
• A phased plan for introducing AI in a way that minimizes disruption while maximizing impact.
The report fostered a shared understanding of the division’s challenges and opportunities, building trust and enthusiasm for the next steps.
4. Implementation: Integrating AI Technologies and Managing Human Change
Motis OneAI collaborated closely with the division to:
• Introduce and integrate AI solutions targeted at the identified pressing problems.
For example:
• Predictive analytics for maintenance and operations.
• Data integration platforms to break down silos and enhance cross-team collaboration.
• Lead a human change management process, ensuring:
• Employees understood how AI would complement rather than replace their roles.
• Training programs equipped employees with the skills needed to work alongside AI technologies.
• Leaders modeled adaptability and supported their teams throughout the transition.
5. Monitoring and Measuring Success
Motis OneAI established clear metrics and regularly monitored the implementation’s effectiveness.
Key outcomes included:
• Enhanced Efficiency: Achieved a 25% improvement in process efficiency within six months, exceeding initial expectations.
• Improved Collaboration: Data integration eliminated silos, fostering real-time collaboration across teams and enabling faster problem-solving.
• Better Decision-Making: AI-powered insights allowed teams to identify and address complex engineering challenges more effectively.
• Cultural Transformation: Employees reported reduced fear of AI, with 90% expressing confidence in their evolving roles and responsibilities.
Regular feedback loops ensured continuous improvement and allowed for adjustments as needed.
Results and Impact
The collaboration between Motis OneAI and the aerospace division delivered transformative results:
• Alignment Achieved: The division’s leadership and teams united around a clear AI adoption strategy.
• Sustainable Change: AI technologies were integrated seamlessly, enhancing operations without compromising quality.
• Empowered Workforce: Employees embraced new roles, feeling
supported and equipped to succeed in an AI-driven environment.
• Scalable Model: The division now has a robust framework for further AI adoption, positioning it as a leader in innovation.
Conclusion
This case highlights how Motis OneAI’s blend of human-centered design and strategic AI integration can overcome resistance, align diverse teams, and deliver measurable success. By addressing both technical and human dimensions, the aerospace division is now thriving, achieving efficiencies and insights that were previously out of reach.

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