Alyve’s List of
Generative AI Adoption
in Business
Case Studies
Generative AI is rapidly becoming essential for mid-sized businesses seeking sustained competitive advantage, growth, and efficiency.
Average productivity gains of 30–50% from process automation.
Revenue growth typically between 15–25% through enhanced customer personalisation.
Operational cost savings averaging 12–18% within 12 months of implementation.
Who’s doing it well
NIB Health Funds (AU) saved $22 million with a generative AI assistant handling 60% of routine enquiries.
Grant Thornton & EY staff are saving up to 7.5 hours a week using Microsoft Copilot for admin and research.
Unilever’s legal team saves 30 minutes per lawyer per day, reducing external legal spend by embracing AI tools like CoCounsel.
Zaha Hadid Architects doubled design productivity using generative AI in early-stage concepting.
Amarra (Small Business), a US-based dress distributor, cut content creation time by 60% and overstocking by 40% using AI for descriptions and demand prediction.
Grind Coffee (Small Business) uses AI for everything from marketing content to performance reporting, supported by Google’s SME AI pilot.
Pampeano (UK SME) deployed AI for inventory optimisation, increasing speed and competitiveness against bigger players.
Source: Microsoft 2024 Work Trend Index Annual Report
AI in Healthcare
Mayo Clinic Case Study
Mayo Clinic has established itself as a leader in integrating AI within healthcare, focusing on enabling its clinicians and administrators to develop AI applications that enhance patient care and streamline operations. 
Key Insights:
AI Enablement Approach: Mayo Clinic emphasises empowering its staff with AI tools, fostering a culture where domain experts can leverage technology to innovate and improve healthcare delivery. 
AI Factory Platform: In collaboration with Google, Mayo Clinic developed the AI Factory, a platform that standardises AI application development and ensures efficiency and safety in deployment. Rather than centralising AI development, Mayo empowers clinicians and staff to build their own AI use cases.
Data Stewardship: The organisation promotes data stewardship, assigning responsibility to business and clinical stakeholders to prepare data for analysis and ensure quality and readiness for AI initiatives.
Read more about AI at the Mayo Clinic on MIT Sloan Management Review
What’s the Best Practice?
Recent studies indicate that the adoption of generative AI in businesses has accelerated significantly, with 71% of organisations now regularly using these technologies in at least one business function, up from 65% in early 2024.
This rapid integration is primarily driven by generative AI’s potential to enhance productivity, streamline operations, and foster innovation across various sectors.
However, successful adoption of generative AI requires careful consideration of several critical factors:
Strategic Alignment: It’s essential to align AI initiatives with clear business objectives. Organisations should identify specific problems or opportunities that generative AI can address, ensuring that AI projects support overarching goals such as improving customer satisfaction or optimising operations. 
Leadership & Governance: Active involvement from senior leadership is crucial. Leaders should champion AI adoption, establish dedicated teams to drive implementation. and develop robust governance frameworks to oversee AI initiatives.
Employee Training & Engagement: Investing in AI literacy and training programs helps employees understand and effectively use AI tools. For instance, companies like Johnson & Johnson have implemented mandatory generative AI training for over 56,000 employees to build internal capabilities.
Change Management: Successfully integrating AI requires thoughtful change management strategies. This includes clear communication about the benefits of AI, addressing employee concerns, and fostering a culture that embraces technological advancements. 
Risk Management: Identifying and mitigating potential risks associated with AI, such as biases, inaccuracies, and cybersecurity threats, is vital. Implementing comprehensive risk management practices ensures the ethical and secure use of AI technologies.
In the media
“A global dress distributor gave AI a chance. Now it makes creative content faster, and overstock is down 40%”
Amarra Case Study
“How AI helps small newcomers compete with the giants”
See how a range of businesses around the country are using artificial intelligence to enhance efficiency
“How pharmaceutical companies are training their workers on AI”
Johnson & Johnson trained over 56,000 employees on generative AI
Get more value from experienced workers.
“Generative Al can improve a highly skilled worker's performance by nearly 40% compared with workers who don't use it.”
Source: “Navigating the Jagged Technological Frontier” - Harvard Business School
High Impact Case studies
CarMax
Challenge: Manual content creation was costly and slow.
AI Application: Automated generation of vehicle descriptions.
Outcome: Content creation accelerated by 90%, contributing to a 48.8% YoY increase in online revenues.
CEO Insight: "AI allowed us to disrupt our industry a second time."
Toyota
Challenge: Lengthy, costly design iterations.
AI Application: Generative design for automotive components.
Outcome: 50% reduction in design cycles, significant cost savings, and lighter vehicle components.
Siemens
Challenge: High defect rates and manual inspection inefficiencies.
AI Application: Predictive quality control.
Outcome: Dramatic reduction in defects, reduced waste, and higher throughput.
Morgan Stanley
Challenge: Advisors spending excessive time on data retrieval.
AI Application: GPT-powered virtual assistant for wealth management.
Outcome: Advisory task completion reduced from 9 hours to 30 minutes, increasing client engagement capacity.
How will AI impact business? Here’s what we have been thinking.
We are constantly researching, discussing, and writing about the impact AI will have on work, education and society as a whole. See a few of our recent articles.
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