AI Sandbox
How the Sandbox works in practice

A practical pathway from challenge to next step

AI Sandbox helps civil society organisations explore whether current AI is right for a real-world challenge, use practical starting resources, and move promising ideas towards MVPs where there is a strong fit.

The path at a glance
start simple
01
Start with the challenge

Begin with the real work in front of you.

02
Assess whether current AI fits

Look at what is useful now, and what is not.

03
Start with practical resources

Use guides, templates, and examples to begin.

04
Move promising ideas towards MVPs

Go further where there is a strong fit.

Resources
Models
MVP
built with people

How the pathway works

Step 1

Start with the challenge

Begin with the real work in front of you: a bottleneck, a recurring task, a service gap, or a problem your team is trying to solve.

Step 2

Assess whether current AI fits

Look at whether current AI is genuinely useful for the task, where the risks sit, and whether a simpler approach might work better.

Step 3

Start with practical resources

Use guides, templates, examples, and workflow ideas to explore possible approaches before committing to a bigger build.

Step 4

Move promising ideas towards MVPs

Where there is a strong fit, selected participants can explore models, technical support, and practical MVP pathways.

Who this is for

AI Sandbox is for organisations with a real challenge they want to understand more clearly and approach more practically.

You do not need a finished product idea. A real problem is enough place to begin.

01
Teams with a real challenge they want to think through
02
Organisations unsure whether current AI is relevant at all
03
People who want practical examples, not abstract promises
04
Groups that may need a path from exploration to MVP support

What the Sandbox is not

A place that assumes every challenge needs AIA generic collection of AI tips with no practical pathwayA promise that every organisation will receive build supportA substitute for careful thinking about privacy, risk, and human oversight

What early access means

AI Sandbox is opening in phases rather than all at once.

This allows the experience to be shaped around real organisational needs, and helps the team learn from early participants before broadening access.

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Early access may include

01

Explore whether current AI is right for a real challenge

02

Share practical use cases and needs from the field

03

Try resources and early pathways as access opens

04

Help shape how the Sandbox develops over time

Ready to take part?

Whether you are exploring a challenge, already have a use case in mind, or want to help shape the Sandbox, there is a place to begin.