You have a validated, working solution deployed with real users and measurable results. You have the data. Your solution may already include AI, or you may have a clear idea of where AI fits. Now you need the ecosystem to reach many more people.

What we look for:

• Consistent outcomes from a repeatable model
• Demonstrated demand through uptake or retention
• Early growth metrics that show scaling potential
• A project manager who can commit at least five hours per week
• A clear sense of where AI accelerates your impact

You have a working prototype piloted with a small group of beneficiaries, showing first outcomes and demand, though not yet at scale. AI may or may not be part of the current prototype.
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What we look for:
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• A well-defined problem validated through user research
• A repeatable workflow, even if it runs manually
• Usable data with basic privacy practices
• Real users with measurable outcomes
• Demonstrated demand
• Openness to exploring how AI can strengthen your model

Both paths start from the same bar. Your intervention already works, with real outcomes for the problem it addresses, shown through field results or a meaningful, well-documented pilot. Technology extends and accelerates that work; it does not define it. Once an organization meets that bar, we look at three things.

Demand and distribution readiness. Beyond evidence that people want what you offer, we look at how you reach them. Applicants should describe the distribution channels already in place, such as partnerships, platforms, institutional relationships, or an existing network, and the realistic routes to reach the unmet need.

Execution capacity and sustainability. We look for clear internal ownership of who will participate, at least one dedicated staff member at five to ten hours per week acting as project manager alongside the tech team, and a credible plan for maintaining the solution once the tech partner hands it over. That plan should cover budget, staff, and infrastructure.

Data and deployment readiness. Ideally the data is close to ready for production. You have the data required to train or build the AI, with clear access and structuring in place or clear steps to get there. You also have basic data governance, meaning you understand the privacy and security obligations for the datasets used to build with AI.

The program runs as a 12-month structured journey with defined milestones. The first months include biweekly sessions on Wednesdays at 2pm CET, covering onboarding, data readiness, partnership, scaling, and funding strategy. Throughout the program, your organization needs a project manager who can invest at least five hours per week.