I operate across the full product lifecycle from product vision and problem framing to discovery, strategy, and delivery, translating user needs into scalable product solutions.
At The World Bank, this experience evolved into shaping a multi-layer enterprise AI ecosystem designed to support knowledge, decision-making, and operational workflows at global scale.
Key AI Projects:
The World Bank’s AI Ecosystem
The ecosystem is built on a continuous interaction loop, where exploration, understanding, experimentation, and deployment are interconnected and continuously feed back into the system.
Below is a breakdown of each product, use cases, and its role within the broader system.
1. The World Bank's
internal AI-chat
internal AI-chat
AI-powered enterprise chat platform built exclusively for The World Bank employees as a secure alternative to public AI tools such as ChatGPT, Google Gemini, Perplexity, and Claude. Chat integrates leading LLMs into a single controlled interface, enabling access to multiple AI engines, tailored for World Bank business needs. The platform supports internal data exploration, document and image analysis, infographic generation, and access to curated knowledge and prompt libraries.
Open Use Case - 80+ Years of Knowledge Turned Into Answers
- 20,000+
Internal Users Supported by AI
Enterprise-wide - 180+
country teams globally powered by AI insights - 81%
AI workflows
adoption rate
across all teams
- Vaishnavi Muraligopal I AI Solutions Product Owner at The World Bank"I had the pleasure of working with Alice Fox on several projects including AI at The World Bank portal and I am consistently impressed by her ability to come up with innovative ideas..."
2. The World Bank's
enterprise AI-Search
enterprise AI-Search
AI-powered enterprise search platform built for The World Bank, providing unified access to the organization’s entire internal ecosystem. The system integrates AI-driven capabilities including automatic summarization of results, structured overviews, and contextual clustering of information. Similar to Google AI Search experiences, it generates concise, structured summaries, helping users quickly find relevant information across the entire database collected by The World Bank over 80 years. It also enables a smooth transition from AI search into AI chat for deeper analysis and exploration.
- 1M+
documents indexed across enterprise system - Only 3 seconds
to deliver AI-powered exact answer - 99%
search coverage across all internal repositories - 80% time saved on manual
cross-system
discovery
- Miora Laügt I Product Owner at The World Bank"Working with Alice is awesome. What really stands out to me is how she totally gets World Bank users. She really understands who they are, what frustrates them, what they need..."
3. The World Bank's
AI Knowledge Portal
AI Knowledge Portal
AI-powered enterprise knowledge platform built for The World Bank, serving as a single entry point to all AI-related resources across the organization. It brings together a library of AI-powered products developed for internal needs, along with guidance and learning materials that help employees understand and apply AI in their work.
The portal supports employees from discovering AI solutions to learning and experimenting with AI APIs for building new Bank products. It keeps all AI knowledge, capabilities, and updates accessible in one place.
The portal supports employees from discovering AI solutions to learning and experimenting with AI APIs for building new Bank products. It keeps all AI knowledge, capabilities, and updates accessible in one place.
- Onika Vig I AI Solutions Product Owner at The World Bank"... Beyond her skills, Alice brings a positive, solution-oriented attitude that uplifts everyone she works with. I highly recommend Alice — she would be a tremendous asset to any organization looking for creativity, dedication, and impact. I love working with Alice ❤️"
4. The World Bank's
AI API Model Garden
AI API Model Garden
AI API Model Garden is a centralized AI playground within the World Bank’s AI Ecosystem that helps teams explore, evaluate, and integrate AI models.
Designed for both technical and non-technical users, it enables product owners to test AI use cases and understand model capabilities, while providing engineers with API-ready AI integrations.
By combining experimentation and direct AI API access in one place, it reduces friction in early-stage AI product development and helps teams move faster with clear visibility into model performance and cost.
Designed for both technical and non-technical users, it enables product owners to test AI use cases and understand model capabilities, while providing engineers with API-ready AI integrations.
By combining experimentation and direct AI API access in one place, it reduces friction in early-stage AI product development and helps teams move faster with clear visibility into model performance and cost.
- Amy Jean Doherty I Global CIO at The World Bank"We appreciate your contributions and leadership!" (as comment to post on LinkedIn)
Areas of Expertise:
At the enterprise level, I have experience working with large-scale AI platforms and internal systems that support knowledge discovery, decision-making, and operational workflows.
-
Product Discovery & StrategyI define product problems by identifying user and business needs and translating them into clear product vision and scalable solution directions across complex AI systems and enterprise environments. - Product Planning & DeliveryI structure product execution through roadmap definition, backlog prioritization, and continuous validation of solutions based on user feedback and evolving product needs, working closely with engineering and data teams to deliver iteratively.
- AI Platforms & System-Level ThinkingExperience with complex AI environments in large organizations allows me to design and deliver both standalone products and interconnected AI systems, with a system-level understanding of how they support broader user and organizational workflows.
- Product Design & Prototyping (Figma)I use Figma to communicate product ideas, define user flows, and create prototypes that support alignment between stakeholders, engineering, and design teams.
- Cross-functional Delivery & Agile ExecutionI collaborate closely with engineering and data teams to deliver products using Agile methodologies (Azure DevOps), including sprint planning, execution, and iterative development cycles.
- User Research & Stakeholder AlignmentI integrate user feedback and stakeholder input throughout the product lifecycle to ensure alignment between product direction, usability, and organizational needs.
Professional Publications & Recognition:
Best of LinkedIn February 2025:
"A clear roadmap transforms product strategy from chaos to a blueprint for success. - Alice Fox"
"A clear roadmap transforms product strategy from chaos to a blueprint for success. - Alice Fox"
Education & Certifications
High-impact products are always built on a solid foundation. For me, that foundation was built through a BA degree at the University of Hertfordshire, UK (2015). Since then, I’ve spent 10+ years shaping complex digital products, combining technology, design, and strategic insight to deliver solutions that meet user needs and drive outstanding business outcomes.
Let's connect on LinkedIn
to explore how my experience can advance
your AI solutions,
or message me at hi@foxalice.com
THANK YOU
🖂 hi@foxalice.com / LinkedIn
© Fox Alice
© Fox Alice
