--- title: "AI solution for IUCN’s resolutions & recommendations management - S-PRO" url: https://s-pro.io/casestudy/ai-solution-for-iucns-resolutions-recommendations-management lang: en description: "IUCN partnered with S-PRO to implement an AI solution for managing Resolutions and Recommendations, enhancing access to environmental policy insights. Launched in Summer 2024, this solution leverages over 1,466 archived documents, including 695 active ones, to provide IUCN staff with an efficient, user-friendly interface for quickly accessing and summarizing key information." updated: 2026-09-30T13:35:38+00:00 source: S-PRO (https://s-pro.io) --- Case studies # AI solution for IUCN’s resolutions & recommendations management - Geography Switzerland - IndustryNGO, Compliance - ServicesInternal operations optimization ## Intro IUCN, the International Union for Conservation of Nature, helps the world find pragmatic solutions to our most pressing environmental challenges. [IUCN](https://iucn.org/) supports scientific research, manages field projects all over the world and brings governments, non-government organizations, United Nations agencies, companies and local communities together to conserve nature, promote sustainable development, and create a just world where nature is valued and protected. S-PRO partnered with IUCN to implement an AI solution for managing Resolutions and Recommendations, enhancing access to environmental policy insights. Launched in Summer 2024, this solution leverages over 1,466 archived documents, including 695 active ones, to provide IUCN staff with an efficient, user-friendly interface for quickly accessing and summarizing key information. 1,466 archives documents 695 active documents --- ## Challenges Managing IUCN’s policies meant tackling tough challenges like handling vast documents and making advanced AI easy to use. **Complex Document Landscape** One of the main challenges was managing IUCN’s extensive repository of over 1,466 Resolutions and Recommendations, with 695 still active. The AI needed to recognize relationships between active and archived documents, understand how policies evolved through amendments, and accurately track which directives were current. This required the AI to not only process documents individually but also synthesize information cohesively, referencing the latest and most relevant documents to ensure accurate summaries. **Intelligent Summarization and Contextual Awareness** Given the layered and interconnected nature of the Resolutions and Recommendations, training the AI to recognize patterns, thematic clusters, and historical context required advanced natural language processing capabilities. The AI needed to accurately identify relevant themes and cite specific documents to support summary outputs. This required developing an intelligent model capable of analyzing document clusters without losing context or generating summaries that inadvertently misrepresent the intentions of IUCN’s policy evolution. **Balancing Advanced Technology with a User-Friendly Experience** Another key challenge was creating a powerful yet intuitive interface that would allow IUCN staff to fully leverage the AI’s capabilities without requiring extensive training. While the back-end AI involved complex functionalities, such as filtering by topic or geography and mitigating potential AI-generated “hallucinations,” we aimed for a streamlined, chat-like interface. This interface had to enable staff to query, retrieve, and synthesize policy information with ease, making sophisticated AI technology feel accessible and natural to use. --- ## Solution To design a smarter way to navigate vast information, we transformed a maze of documents into a clear, user-friendly AI system. The AI solution developed for IUCN focuses on summarizing and synthesizing key policy documents, allowing users to query specific themes across multiple resolutions and recommendations. This system groups policies into thematic clusters – such as oceans, climate change, and governance – and offers an interactive chat interface for intuitive access. The technology stack was designed to align with IUCN’s infrastructure requirements and data security standards: **Microsoft Azure** Provides a secure hosting environment, ensuring IUCN’s data remains protected and accessible at all times. **Azure OpenAI and Cognitive Search** Streamlines document indexing, embedding, and retrieval, making it easier for staff to access and work with resolutions and recommendations. **Hugging Face Chat UI** Delivers a user-friendly interface to facilitate human-oriented interactions with the AI model. **Machine Learning Models** Various ML models enable accurate document clustering, classification, and policy extraction, improving the relevance and usability of the content. As the model landscape has evolved since the initial build, the reasoning layer has been progressively extended with Anthropic’s Claude for the summarization, thematic clustering, and natural-language querying tasks. --- ## Results The AI solution by S-PRO improved IUCN's resolutions and recommendations management by making it quicker and easier to find and understand relevant information. ChatR&R has been in production since 2024 and was unveiled at the IUCN World Conservation Congress in October 2025. It makes the full corpus of over 2,000 IUCN Resolutions and Recommendations — accumulated across six decades of Congresses — searchable in natural language, cutting research on a given policy theme from what typically took several hours of manual archive work to a few minutes. Before ChatR&R, analyzing a single IUCN motion could take up to two weeks. With ChatR&R in production and unveiled at the IUCN World Conservation Congress in Abu Dhabi in October 2025, the same task now takes under 10 seconds. The system serves IUCN’s teams across the full corpus of over 2,000 Resolutions and Recommendations — accumulated across successive Congresses — supporting an organisation with more than 1,400 member NGOs across 160 countries. *“Analyzing a motion could take up to two weeks. Now, the same task takes under 10 seconds.”* — Francois Jolles, CIO, IUCN The AI solution accurately tracks policy changes, ensuring teams always had the most current insights and could assess the impact of new policies. The user-friendly chat interface requires minimal training, promoting easy adoption and increasing productivity. Enhanced data availability and better context provides a solid foundation for future policy analysis and development. This solution met IUCN’s initial goals by improving data retrieval, supporting clear policy insights, and creating a scalable framework for future AI initiatives. The AI capabilities extend to natural language processing for contextual understanding and summarization, providing detailed citations for all summaries generated. Key features include: **Document Clustering** Organized thematically, enabling quick access to policies relevant to specific environmental issues. **AI-Powered Interface** Users interact with a chatbot-like interface to query topics, receive summaries, and access detailed insights. **Contextual Policy Summarization** AI extracts and summarizes key points with precise references, supporting detailed analysis and improved decision-making. **Future-Ready** The solution’s structure is scalable for future enhancements, including broader document databases and more sophisticated analytical capabilities. --- ## Real Impact ChatR&R became one of the biggest highlights of the IUCN World Conservation Congress 2025. In October 2025, IUCN unveiled the **ChatR&R** solution at the *[IUCN World Conservation Congress in Abu Dhabi](https://iucncongress2025.org/)* – one of the largest global events dedicated to nature conservation and sustainable development. The presentation drew strong attention: attendees were impressed by how the tool instantly retrieves, connects, and summarizes insights from decades of IUCN documents and records. --- ## Conclusion Our solution marks a step forward in how technology can drive meaningful change for global organizations. The AI solution for IUCN improved how documents are accessed and analyzed, helping their team quickly find relevant information and stay updated on policy changes. Partnering with IUCN was a mutually rewarding experience, blending their expertise in environmental [policy](https://s-pro.io/blog/policy-automation-software-how-ai-automates-policies-and-procedures) with our technological innovation. Together, we created a solution that supports meaningful action on global environmental challenges, and we’re proud to have contributed to this important mission. Real-world results like ChatR&R prove that when expertise meets the right technology, progress happens faster and smarter. At S-PRO, we believe this is just the beginning – a glimpse into how AI can help organizations worldwide turn complexity into clarity and make impact at scale. --- ## Case studies [View all cases](https://s-pro.io/works) - Finance - Energy - Healthcare - Manufacturing - [#AI & ML](https://s-pro.io/works?case_technology=ai-ml-en) - [#UX/UI](https://s-pro.io/works?case_technology=ux-ui-en) - [#Web](https://s-pro.io/works?case_technology=web-en) - DE AI solution for the compliance domain View project - [#Blockchain](https://s-pro.io/works?case_technology=blockchain-en) - [#Cloud](https://s-pro.io/works?case_technology=cloud-en) - MENA Crypto exchange platform for MENA region View project - UK Energy market insights analytics platform View project - [#Data](https://s-pro.io/works?case_technology=data-en) - [#Frontend](https://s-pro.io/works?case_technology=frontend-en) - US Communication and data management tool for hospitals View project - [#Healthcare](https://s-pro.io/works?case_industry=healthcare-en) - [#Biotech](https://s-pro.io/works?case_industry=biotech-en) - US Chemical research data visualisation View project - ES Maintenance and operation platform for machine tools manufacturer View project --- ## Get in touch Ready to discuss your project? Share your ideas, findings, and questions with us. We’re excited to extend our expertise to your project. After form submission, we'll respond you within 24h. [Get in touch](https://s-pro.io/get-in-touch) - Drop us a line: [hi@s-pro.io](mailto:hi@s-pro.io) - Contact us: [+41 41 588 22 54](tel:+41415882254) [+31 20 323 61 46](tel:+31203236146) R&D centers Zurich, Switzerland (HQ) Löwenstrasse 45, 8001 Lodz, Poland Zachodnia 70, 90-403 Business representatives Salt Lake City, USA Kiln SLC, 26 S Rio Grande St, UT 84101 Austin, USA 11801 Domain blvd., 3rd Fl, Austin, TX 78758 Amsterdam, Netherlands Gustav Mahlerplein 2, 1082 MD Link copied to clipboard Language - [EN](https://s-pro.io/casestudy/ai-solution-for-iucns-resolutions-recommendations-management) - [DE](https://s-pro.io/de/casestudy/ki-losung-fur-die-verwaltung-von-resolutionen-und-empfehlungen-der-iucn) - [FR](https://s-pro.io/fr/)