IUCN - AI Applications for PANORAMA
PANORAMA, IUCN's database of about 1,700 proven conservation and sustainable-development solutions, asked how AI could improve the quality, discoverability and reach of its content while easing the editorial burden. We ran a three-phase consultancy, benchmarked peer platforms and delivered a scored use-case matrix, safeguards-by-design and a phased roadmap.
- Client
- IUCN
- When
- Apr–Aug 2026
- Team
- 3 people
- Services
- AI tools
- Industry
- Cultural and Natural conservation
- SDGs
- 13. Climate action, 14. Life below water, 15. Life on land, 17. Partnerships for the goals
- Client website
- iucn.org
PANORAMA, Solutions for a Healthy Planet is the world's leading database of proven conservation and sustainable-development case studies, hosting about 1,700 Solutions for practitioners, policymakers and researchers worldwide. Following its 2024 redesign and 2025 app launch, IUCN asked Relief Applications to assess how AI could improve the quality, discoverability and reach of Solutions while easing the editorial burden.
We ran a three-phase, stakeholder-centred consultancy: inception and scoping; a landscape analysis benchmarking peer platforms (WOCAT, GBIF, FAO AGRIS) with structured user consultations; and a final report.
A weighted scoring matrix ranked candidate AI use cases by feasibility, impact and risk, tiered into quick wins and longer-term capabilities, with safeguards-by-design (evidence grounding, human validation, traceability) and a phased implementation roadmap and executive presentation.
The challenge
- Evolving AI governance and consent constraints
- A third-party-maintained platform architecture
- Protecting editorial integrity across about 1,700 Solutions
What we did
- A three-phase, stakeholder-centred methodology
- Sector benchmarking and a weighted use-case scoring matrix
- Safeguards-by-design and a phased implementation roadmap
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