Learn Fresh Uncovers 45 AI Opportunities for Operational Efficiency
In a groundbreaking initiative, Learn Fresh collaborates with FTI Consulting to harness AI technology, identifying over 45 opportunities to streamline operations and improve accessibility for global STEM education.
Key Facts
- Learn Fresh identified 45 AI opportunities, revealing significant potential for operational efficiency.
- Prioritizing 11 initiatives highlights strategic alignment, enhancing competitive positioning in global markets.
- AI-enabled onboarding prototype could save hundreds of thousands, improving financial sustainability.
- Multilingual functionality indicates a strategic shift towards inclusivity in non-English-speaking regions.
- In-house development capability strengthens Learn Fresh’s resilience against vendor dependency risks.
Summary
Summary
Learn Fresh, an international education nonprofit, faced challenges in scaling its STEM programming efficiently across global markets. To address this, FTI Consulting partnered with Learn Fresh to identify AI opportunities and develop a prototype that streamlined educator onboarding and improved accessibility. The initiative resulted in a comprehensive inventory of AI opportunities and a fully functioning AI-enabled onboarding prototype, positioning Learn Fresh for significant cost savings and enhanced operational capacity.
Background
Learn Fresh is a global nonprofit focused on enhancing students’ STEM and social-emotional achievement through sports and entertainment. Before the deployment of AI solutions, the organization struggled with outdated technology and resources that limited its ability to expand its programming into new regions effectively.
Challenge
The primary challenge Learn Fresh aimed to solve was the inefficiency in its existing systems, which hindered its ability to scale operations and support educators and students in non-English-speaking regions.
Solution
FTI Consulting conducted a thorough assessment of Learn Fresh’s current state, including stakeholder interviews and a review of existing workflows and materials. They facilitated a workshop to prioritize high-impact AI use cases, ultimately developing a fully functioning AI-enabled educator onboarding prototype. This prototype incorporated five AI use cases, featuring multilingual functionality, self-paced training, and a centralized resource hub, while also providing a technical architecture and handoff guide for future in-house development.
Results
Learn Fresh gained a comprehensive inventory of over 45 AI opportunities and prioritized eleven high-impact initiatives. The deployment of the AI-enabled onboarding prototype is expected to save the nonprofit hundreds of thousands of dollars in contracted development expenses, allowing those funds to be reinvested in the communities it serves.
Key Insights
Organizations looking to scale can benefit from a structured assessment of their current capabilities and the identification of AI opportunities. Engaging stakeholders in workshops can help align priorities and ensure that the solutions developed meet user needs effectively.
Customer Testimonial
“At Learn Fresh, we have a small team that operates globally to support educators and students via STEM education. As our organization has grown, our systems have not always been able to keep pace with the evolution of our work. FTI Consulting’s team helped us expand our view of what’s possible by leveraging AI across our work, identifying dozens of opportunities to streamline internal processes and better support communities around the world. Most importantly, FTI Consulting’s input has helped strengthen our internal team’s confidence to build new systems in-house.” – Nick Monzi, CEO of Learn Fresh
Entities Mentioned
Companies
Technologies
People
Organizations
Key Concepts
Definitions
- AI-enabled prototype
- A prototype that incorporates artificial intelligence to enhance functionality and user experience.
- educator onboarding
- The process of integrating new educators into an organization, including training and resource allocation.
- localization
- The process of adapting content to meet the language and cultural needs of specific regions.
- stakeholder
- An individual or group with an interest in the success and operations of an organization.
- prototype development
- The process of creating an early model of a product to test concepts and functionalities.
Use Cases
- →AI-driven educator onboarding
- →multilingual functionality
- →self-paced training
- →knowledge checks
- →progress tracking
- →centralized educator resource hub
Frequently Asked Questions
What is the purpose of the AI assessment conducted by FTI Consulting?
The AI assessment aimed to identify high-impact AI opportunities for Learn Fresh to enhance its programming and support its global expansion. It involved analyzing existing workflows and resources to streamline processes.
How does the AI-enabled prototype benefit educators?
The AI-enabled prototype provides educators with tools for self-directed onboarding, including multilingual support and progress tracking, which enhances their training experience and accessibility.
What were the key outcomes of the partnership between Learn Fresh and FTI Consulting?
Key outcomes included a comprehensive inventory of AI opportunities, a functioning prototype for educator onboarding, and recommendations for future AI implementation, which will save costs and improve efficiency.
What role does localization play in Learn Fresh's AI initiatives?
Localization is crucial as it allows Learn Fresh to adapt educational content for non-English-speaking regions, ensuring that resources are accessible and relevant to diverse communities.
How does Learn Fresh plan to implement the recommendations from FTI Consulting?
Learn Fresh plans to use the product roadmap and guiding principles provided by FTI Consulting to build new systems in-house, leveraging the identified AI opportunities to enhance their educational offerings.