Organisations today operate in environments where demonstrating impact, communicating results, and positioning their narrative are essential to achieving their mission. 

Data inform decisions. 

AI accelerates analysis. 

Narratives shape understanding and influence policy. 

Yet these three dimensions are often developed separately. AI tools are adopted without sufficient understanding of their limitations and risks. Data are collected but not strategically analysed. Insights are produced but not translated into compelling, evidence-based narratives that inform decision-making and institutional positioning. 

This programme addresses that gap. 

It strengthens institutional capacity across three integrated capabilities: 

• Responsible and critical use of AI systems 
• Structured and ethical data management and analysis 
• Strategic communication of evidence for policy, reporting and influence 

Rather than focusing on tools alone, the course builds an end-to-end workflow — from data to analysis to narrative — aligned with organisational mandates and governance standards. 

Organisations that fail to integrate AI, data and storytelling risk: 

• Over-reliance on opaque AI tools 
• Weak analytical interpretation 
• Fragmented evidence systems 
• Poorly communicated impact 
• Reputational and governance risks 

Organisations that develop these capabilities strengthen: 

• Evidence-informed decision-making 
• Strategic positioning and policy influence 
• Accountability and credibility 
• Internal analytical confidence 
• Responsible innovation practices 

Do you want to strengthen how you work with data, communicate evidence, and responsibly integrate AI into your professional practice? 

This course is designed for: 

• Professionals working with data, policy, programmes, monitoring or research 
• Teams seeking to integrate and improve AI tools into workflows  
• Managers aiming to strengthen evidence-based decision-making 

It is particularly relevant for organisations that want to connect data analysis, AI capabilities, and storytelling into a coherent impact-driven approach. 

No advanced technical background is required. 

By the end of the programme, participants will be able to: 

• Explain how AI systems work, including their limitations and risks 
• Apply data literacy principles to structured and unstructured data 
• Use AI tools to support analysis while maintaining critical oversight 
• Apply ethical, governance and responsible data principles 
• Translate analysis into clear, evidence-based narratives 
• Design an integrated AI–data–storytelling workflow adapted to their context 

• Learn – Reflect – Practice methodology 
• Practice-oriented exercises based on real professional scenarios 
• Use-case driven examples from organisational and policy contexts 
• Interactive discussions and guided experimentation 
• Webinars and expert inputs 

All modules can be adapted following a needs analysis to align with organisational priorities. 

The programme is structured into three interconnected modules. 

Module 1 – Foundations of AI 

Strategic Understanding of AI 

Governance and Risk 

AI in daily professional workflows 

Module 2 – Data Fundamentals 

Data Literacy 

AI in Data Management 

Module 3 – Storytelling and Evidence Communication 

Strategic Storytelling 

AI-Enhanced Dissemination 

By the end of the programme, participants will: 

• Use AI as a supporting partner rather than a black box 
• Work more confidently and ethically with data 
• Strengthen analytical thinking and interpretation skills 
• Communicate insights clearly to influence decisions and policies 
• Build an integrated AI-data-storytelling workflow tailored to their organisation 

The programme can be delivered as: 

• A multi-day in-person workshop 
• A modular online programme 
• A blended learning journey 
• An executive format for senior leadership 
• A team-based intervention focused on a specific organisational challenge 

Content depth and practical outputs are adapted to the institutional mandate and operational context.