Agentic AI workflows
Human-in-the-loop AI workflows for the survey lifecycle: questionnaire review, fieldwork quality control, cleaning logs, callback sheets, open-end coding, reproducible scripts, and plain-language review outputs for managers.
National statistics | Development data | Agentic AI
We help organisations use AI across the full data lifecycle, from field collection and cleaning to analysis, statistics, and reporting.
What we do
We work where AI meets the practical realities of development and statistical production: CAPI platforms, messy datasets, fieldwork pressure, sensitive microdata, reproducible scripts, and reviewable outputs.
Human-in-the-loop AI workflows for the survey lifecycle: questionnaire review, fieldwork quality control, cleaning logs, callback sheets, open-end coding, reproducible scripts, and plain-language review outputs for managers.
Custom AI applications for teams that need more than a generic chatbot: RAG knowledge systems, specialist assistants, data tools, dashboards, secure internal workflows, and narrow apps built around the way your organisation actually works.
Remote and in-person training for organisations adopting AI. Sessions can cover prompt engineering, safe and responsible use, model choice, workflow design, data privacy, team governance, and hands-on implementation using the systems your organisation already uses.
Latest thinking
Impact Engines and the Samoa Bureau of Statistics tested a human-in-the-loop AI workflow to clean the Samoa Agriculture Survey 2025 microdata. The case study covers the workflow, quality control, privacy safeguards, costs, time savings, and lessons for official statistics.
AI agentsAI agents can reason across complex survey workflows, but raw API access is not enough. A dedicated MCP server gives them a safer, structured bridge into Survey Solutions, combining clear tools, permission controls, and expert operating patterns.
Survey cleaningA practical look at how a human-in-the-loop AI agent can review survey cases, detect inconsistencies, prepare cleaning logs and callback sheets, propose recodes, and turn approved decisions into reproducible Stata code.
Impact Engines brings together statisticians, development practitioners, and AI specialists. We combine deep sector expertise with a practical understanding of emerging AI capabilities and extensive experience in training delivery.