AI for Policy and Decision Support in a UN Regional Commission

The challenge

Policy and management teams work across fragmented documents, databases, charts, and reporting systems. Finding current evidence and tracing it to a source consumes time that should be spent on analysis and decisions.

The approach

• Use retrieval and structured data services to bring approved institutional information into a traceable working context.
• Apply AI to chart analysis, document review, and first-draft synthesis while retaining source references.
• Separate reusable central services from mission-specific workflows owned by policy and operational teams.

Measured outcomes

• Established a practical operating pattern for AI-assisted policy review and management reporting.
• Reduced dependence on manual search and formatting in analytical workflows.
• Connected AI adoption to architecture, cybersecurity, data governance, and accountable business ownership.

Governance and safeguards

• AI prepares evidence and drafts; accountable officials make policy decisions.
• Retrieval is limited to approved sources and must preserve source attribution.
• Access controls follow the underlying information rather than the AI interface alone.

Evidence and sources

The links below distinguish independently published evidence from first-person programme records.

• Digital transformation strategy for humanitarian organizations

  First-person management guidance explaining the operating model used for institutional digital and AI services.