Across the Indo-Pacific, local NGOs are being asked to do more with less. Development funding is shrinking and compliance and performance requirements are growing. AI is being held up as the answer, but its benefits are not reaching local organisations equitably.

AI needs a clear operating model and structured context to perform well. Well-structured and well-resourced organisations are capturing its dividends, while unstructured use is leaving under-resourced NGOs with frameworks that are uninformed, unlinked, unused and at times unsafe.

A wave of sector-specific AI tools is coming, but their impact will be limited by the capacity of the organisations using them. We need to make sure local partners are equipped to make the most of these opportunities.

The challenge

Organisational
AI readiness

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The Outrigger Project believes there are three essential components of organisational AI readiness:

  • Capability: staff who combine AI literacy with sectoral judgement to know whether an output is sound

  • Culture: shared ownership of the organisation's systems, and leadership that makes space to question, experiment and adapt them

  • Structured context: a structured model of how the organisation works, in a form AI can read

Organisational AI readiness

AI literacy does not equal AI readiness

Training staff to use AI is a good start, but it is only one piece of the puzzle. An organisation can have skilled, AI-literate staff and still achieve poor results. If how the organisation works is not written down in a structured way, AI can only offer generic answers. Without a culture making space to question and adapt systems, the best suggestions stay on the page. AI can help show an organisation what to change. Culture decides whether it does.

Most AI initiatives in the development sector stop at training. The bigger gains come from building all three components together, because each one makes the others stronger.

Missing components show up as familiar problems. This simple diagnostic works backwards from those problems. While not exhaustive, the six problems are common pitfalls organisations face when adopting AI. Each problem points to the component the organisation needs to grow.

The organisational AI readiness framework by The Outrigger Project is licensed under CC BY 4.0

AI readiness diagnostic

What component are you missing?

Tap to see examples of organisational AI readiness problems