AI-Driven Capacity Building

AI for International
Cooperation

Empowering development organisations to integrate artificial intelligence into programme design, monitoring, evaluation, and resource mobilization.

5 Modules · 17 Hours · On-site, Hybrid, or Remote · Post-training Mentoring
Overview

Programme Structure

5 modules, adaptable from 1 to 5 days depending on your needs

1

Fundamentals

AI landscape & readiness

3h
2

Responsible AI

Ethics & governance

3h
3

Programme Design

Proposals & logframes

4h
4

M&E & Knowledge

Dashboards & donor intel

4h
5

Operationalisation

SOPs & sustainability

3h
Modules

Detailed Programme Content

Click on each module to discover learning objectives, exercises, and expected outputs

Context

Overview of the AI landscape — what it is, what it isn’t, and why it matters for international cooperation. From large language models to computer vision, participants discover practical use cases across humanitarian and development sectors.

What you’ll learn

  • Understand the capabilities and limitations of current AI systems
  • Identify concrete AI applications in programme management
  • Navigate the AI tool ecosystem (Claude, ChatGPT, specialized tools)
  • Assess organisational readiness for AI adoption
LLMs Computer Vision Readiness Assessment Use Cases

Exercise

“AI Opportunity Mapping” — participants map their daily tasks and identify automation and augmentation opportunities

Expected output

Organisational AI readiness assessment

3 hours

Context

AI adoption requires a governance framework. This module covers ethical principles, data protection (GDPR, national frameworks), algorithmic bias, and the development of responsible AI policies adapted to humanitarian contexts.

What you’ll learn

  • Apply ethical frameworks to AI use in development contexts
  • Identify and mitigate algorithmic bias in programme data
  • Design data protection protocols compliant with international standards
  • Draft an organisational AI governance charter
GDPR Bias Mitigation Data Protection AI Charter

Exercise

“Ethical dilemma workshop” — case studies on AI use in vulnerable populations (beneficiary data, targeting algorithms, automated reporting)

Expected output

Draft AI Ethics & Data Protection Policy

3 hours

Context

From donor intelligence to logframe development, AI tools can dramatically accelerate proposal writing. Participants learn prompt engineering techniques and build complete proposal sections using Claude (Anthropic), ChatGPT (OpenAI), and Claude Code.

What you’ll learn

  • Master prompt engineering for development-sector outputs
  • Structure technical proposals with AI-assisted drafting
  • Build logical frameworks, theory of change, and results matrices using AI
  • Cross-reference donor requirements against proposal content
Prompt Engineering Logframes Theory of Change Claude & ChatGPT

Exercise

“Live proposal sprint” — teams draft a 5-page technical section using AI tools in real-time, with peer review

Expected output

AI-assisted technical proposal section (ready for submission adaptation)

4 hours

Context

Monitoring and evaluation generates vast amounts of data. AI tools can automate indicator tracking, detect patterns, generate reports, and scan the donor landscape. This module covers the full M&E data chain — from collection to dashboard to decision-making.

What you’ll learn

  • Design AI-enhanced M&E frameworks and indicator systems
  • Automate data analysis and reporting workflows
  • Build donor intelligence dashboards and funding landscape maps
  • Implement knowledge management systems with AI-powered search
Indicators Dashboards Donor Intelligence Automation

Exercise

“Dashboard prototype” — participants design an M&E dashboard schema and generate automated indicator reports from sample data

Expected output

M&E automation workflow + donor landscape analysis

4 hours

Context

Training is only the beginning. This module ensures lasting impact through Standard Operating Procedures, internal AI Champions programmes, and a sustainability roadmap. Participants leave with a concrete plan to embed AI into their organisation’s DNA.

What you’ll learn

  • Draft Standard Operating Procedures for responsible AI use
  • Design an internal AI Champions programme (train-the-trainer)
  • Build a 6-month AI integration roadmap
  • Establish quality control and continuous improvement mechanisms
SOPs Train-the-Trainer Roadmap Quality Control

Exercise

“SOP co-development” — each team drafts their organisation’s AI Standard Operating Procedure

Expected output

Complete SOP + AI Champions programme design + 6-month roadmap

3 hours
Delivery

Delivery Formulas

Choose the format that fits your organisation

Essential
Duration 1-2 days
Modality Remote
Ideal for Introduction & awareness
Standard
Duration 3 days
Modality Hybrid (on-site + remote)
Ideal for Core competencies
Intensive
Duration 5 days
Modality Full on-site
Ideal for Complete transformation

Tools & Technologies

This programme uses Claude (Anthropic), ChatGPT (OpenAI), Claude Code, and specialized M&E digital tools. All exercises are conducted on participants’ own devices using their organisational data and contexts.

Contact

Let’s Build Your AI Capacity

Every programme is tailored to your organisation’s context, sector, and objectives. Contact us for a customised proposal.

Custom training?

We design bespoke programmes for organisations of all sizes. From a 1-day awareness session to a full 5-day transformation programme, every module is adapted to your sector and operational context.