Understand the workflow
Start with the questionnaire, data system, team structure, review process, and risk context rather than the model.
About Impact Engines
Practical AI consulting for the people responsible for credible data.
Impact Engines works with international development, national statistics, and survey teams to design AI workflows that are useful, reviewable, and grounded in real production constraints.
Why we exist
AI is moving quickly, but development and statistics teams do not need more hype. They need practical systems that help them do careful work faster without losing transparency or control.
We focus on the parts of AI adoption that are easy to talk about but hard to implement well: messy data, real workflows, sensitive information, reproducible code, fieldwork pressure, and human accountability.
Our operating principle
The most useful AI systems in this space will not be black boxes. They will be practical collaborators that leave a trail: scripts, logs, review files, sources, and clear points where humans make decisions.
How we work
Human-in-the-loop by design.
Build inspectable systems
Use AI to prepare evidence, write code, run checks, and document outputs in ways that can be reviewed.
Keep humans accountable
Substantive decisions stay visible. The agent handles the repetitive work; experts keep control of judgement.