Frameworks for Change

Agile delivery applies flexible, iterative methods in social innovation and development, enabling mission-driven organizations to adapt technology solutions rapidly to evolving needs and complex environments.

AI in human rights frameworks integrates AI governance with principles like privacy and equality, guiding mission-driven sectors to uphold dignity, fairness, and justice amid evolving AI risks.

AI readiness frameworks assess technical, human, and institutional capacities for responsible AI adoption, guiding organizations and governments to align ambitions with capacity and ensure sustainable, equitable deployment.

Organizations face strategic choices to build, buy, or partner for digital and AI solutions, balancing costs, risks, and mission alignment to ensure sustainable and effective technology adoption.

Capability Maturity Models guide organizations in systematic process improvement, helping mission-driven groups prioritize investments, benchmark progress, and align technology adoption with their goals across various sectors.

Change management guides organizations through adopting new technologies like AI, ensuring people understand, trust, and integrate tools effectively to achieve lasting impact in mission-driven sectors.

Digital Public Goods are open-source resources designed for equitable, scalable use across sectors, supporting sustainable development and social innovation worldwide.

Digital transformation integrates technology with organizational change to enhance equity, efficiency, and impact in mission-driven organizations addressing global social challenges.

Human Centered Design for AI prioritizes people’s needs and values to create inclusive, trustworthy AI systems that address real challenges across health, education, and humanitarian sectors.

Human in the Loop and Human on the Loop approaches ensure human oversight and accountability in AI systems, preventing harm and embedding ethical judgment in sensitive mission-driven contexts.