18 Real-World Examples: Board Leadership in the Age of AI

AI is transforming businesses, but with up to 80% of initiatives failing to meet business expectations, how do you ensure your organization lands in the successful 20%? It starts with aligning AI efforts to deliver tangible business outcomes. This week, I released a LinkedIn Learning course, " Board Leadership in the Age of AI ," that offers practical guidance on leveraging AI for business success. In it, I share a blueprint for managing internal and external complexities through my research-backed 5 AI Success Pillars. To bring this roadmap to life, I describe 18 real-world examples showing how AI drives value when integrated with business goals, and I round out the content with essential topics including AI governance, risk management, the emerging CAIO role, and creating an AI-ready organization. Whether you’re a board director, executive, or business leader, this course provides the knowledge and actionable insights you need to ensure that you both avoid AI-related risks and deliver real, measurable results from your AI initiatives. Below, I include a glimpse into what's included in the course.

Real-World AI Success Stories

Here’s a sneak peek at a few of the examples covered:

• Intel revolutionized spare parts inventory management, cutting inventory by 30% and saving $600 million in two years. The company also boosted gross profits by over $1.3 billion in just four years.
• Zurich Insurance Group slashed claim review times by 58x with AI-powered automation, leading to an impressive 21% year-over-year increase in operating profit.
• Rolls-Royce tackled unstructured data challenges, using AI to clean and organize engineering data, which led to improved precision in material sourcing and production efficiency.

These examples showcase the power of AI when aligned with business goals. For a detailed look at all 18 companies that I cover in the course, and how they've successfully leveraged AI, here’s a table summarizing each one:

Company

AI Application

Business Results

Intel

Revolutionizing spare parts inventory management

Intel cut its inventory by 30%, saving $600 million in just two years. Also, boosted their gross profits by over $1.3 billion in four years.

Metaphysic

Missed opportunities in AI application

Failed to engage high-value sectors like film or advertising to open new revenue streams and position them as a leader in both fields.

ING Wholesale Bank

Enhanced customer interactions

ING saw higher customer satisfaction, retention, and revenue growth.

IBM Global Financing

Building an innovative culture designed to tackle real business problems

By fostering strong cross-functional relationships and managing the associated changes, IBM aligned their AI efforts with key business goals, resulting in significant innovations that boosted efficiency and delivered measurable outcomes.

Zurich Insurance Group

Revolutionizing claims management

21% increase in operating profit YoY, reduced claim review time by 58 times, saved 8 hours per policy review.

Rolls-Royce

Tackling unstructured data challenges, using AI to prepare data for more AI

With improved data quality - aligned with company goals - they more efficiently sourced materials for engine components, ensuring precision (quality) and production efficiency.

Munich Re

Pioneering AI governance

Better decision-making and stronger customer trust, positioning Munich Re as a leader in responsible AI use within the insurance industry.

GE HealthCare

Driving healthcare innovation

Enhanced operational efficiency, improved patient care, and increased accuracy in diagnoses, ultimately leading to a more precise, personalized, and efficient healthcare experience. Key outcomes include streamlined administrative tasks, reduced scan times, improved image quality, and earlier interventions, resulting in better patient outcomes and increased productivity for healthcare professionals.

Starbucks

Enhancing customer and employee experience and improving sales

Reduced wait times and improved staffing, minimized waste and stockouts, and a 6% increase in same-store sales in the USA.

Walmart

Improving inventory management, supplier management, and green operations

Cut product spoilage by 20%, reduced supplier costs by 1.5% and extended payment terms, boosted customer satisfaction by 25%, and AI-powered logistics route optimizations reduced emissions, making their operations greener.

Procter & Gamble

Enhancing demand forecasting

Achieved more accurate forecasts, reduced waste, and demonstrated significant cost savings.

SAP

Building an innovation culture to address real business challenges

SAP drove significant innovation and operational efficiency, delivering AI solutions that are both technically advanced and valuable to the business.

Capital One

Proactively managing risk

Maintained security, compliance, and alignment with their business goals, demonstrating how effective AI implementation can enhance operational efficiency and risk management.

Batory Foods

Improving business costs and managing technology costs through cloud-based AI

Streamlined operations, improved resource management (reduced expenses) for sustained success, and leveraged cost-effective AI-as-a-service for low upfront cost.

Tesla

Driving innovation and market leadership with AI talent strategy

Tesla extends AI beyond vehicles into humanoid robotics and energy solutions, opening new avenues for growth and furthering its leadership in AI and autonomy. This exciting work has enabled them to build and maintain a workforce of 200+ AI engineers.

MSFT & OpenAI

Empowering quick product delivery and operating capital needs

Enhanced Microsoft's ability to quickly deliver advanced AI solutions. And, it has provided OpenAI with critically needed operating capital.

Wells Fargo

Combating racial bias in loan approvals

Reduced racial bias in loan approvals by 25%, elevated consumer trust following a brand crisis, and have 700 active AI use cases that are continuing to drive business value.

Anheuser-Busch InBev

Transforming brewing and operations

Achieved an 8% reduction in production costs, a 5% increase in revenue, and a 10% decrease in customer churn. Additionally, customer satisfaction (CSAT) improved by 20%. Operational efficiencies were also enhanced, with a 60% increase in barrelage per run and a 40-50% boost in filtration efficiency in the beer filtration process, all contributing to improved business performance and competitiveness.

These examples illustrate how AI can revolutionize industries, whether it's slashing claim review times by 58x, cutting inventory by 30%, or improving customer satisfaction by 25%. What sets these companies apart? They’ve mastered the 5 Pillars for AI Success , uncovered in my doctoral research and reinforced through my team's work in Applied AI Advisory, which I explore in detail throughout the course.

1. Deliver Tangible Business Value
2. Focus on Customer-Centric Solutions
3. Build Collaborative, Cross-Functional Teams
4. Embrace Agile Learning and Iteration
5. Harness High-Quality Data

Course Content Overview

In addition to my 5 AI Success Pillars, I cover other essential topics to help you lead AI initiatives confidently:

1. AI Leadership Blueprint: Foundation, Themes, and Governance

• AI and business value
• AI in decision-making
• AI demands innovation culture
• Embracing failure and iterative learning
• Data's role in AI success
• AI governance and ethical considerations

2. Building an AI-Ready Organization

• Chief AI officer
• Organizational adaptations

3. Navigating AI Risks and Opportunities

• Resourcing AI initiatives
• Avoiding competitive threats
• AI and risk management
• AI investment strategies

4. Conclusion

• Closing insights: Leading into the AI future

Take My Course: Raise Your AI Leadership Game!

AI has the potential to transform your organization, but it requires strong leadership, a strategic approach, and a commitment to continuous learning. If you're ready to lead your organization into the AI-powered future, take my class today to access my insights, real-world examples, and a strategic framework designed to help you succeed in leveraging AI for business success.