Survey quality control
Design and run agent-assisted checks for fieldwork quality, enumerator patterns, paradata, comments, and post-intervention follow-up.
Development data | Official statistics | Agentic AI
Specialist AI consulting for international development and national statistics.
Impact Engines helps development organisations, national statistics offices, and survey teams turn AI from a general-purpose chat tool into practical workflows for survey quality, data cleaning, evidence, and statistical production.
Survey quality control Survey data cleaning Official statistics workflows Responsible AI implementation
What we do
Consulting that moves from advice into working systems.
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.
Survey data cleaning
Use AI agents to prepare review logs, detect issues, translate and code open ends, and generate reproducible Stata or Python workflows.
Official statistics workflows
Support national statistics and development data teams with standards-aware drafting, tabulation, documentation, and controlled review workflows.
Responsible AI implementation
Move from advice to working systems with privacy-aware, human-in-the-loop designs suitable for sensitive development and statistical data.
Why this niche is different
Development and statistics work is not a generic office workflow.
National statistics offices, donor-funded projects, and survey teams work with sensitive data, complex questionnaires, multilingual fieldwork, and a high bar for transparency. AI can help, but only if it respects those realities.
Samoa Agriculture Survey 2025 cleaning pilot: reproducible Stata pipeline, review logs, and human-in-the-loop decisions.
Survey quality control workflows for enumerator anomalies, straight-lining, heaping, GPS duplication, and comment synthesis.
Open-source and prototype tools that show practical AI implementation rather than only advisory slides.
Open-source demonstrations
Tools that show the work is real.
Impact Engines is not trying to sell another SaaS subscription. The tools and prototypes are proof points: examples of how practical AI can support development and statistics workflows in inspectable ways.
- Simple BYOK: A bring-your-own-key chat application designed to help teams choose models and avoid tools that retain data for training where that matters.
- Survey Solutions AI: A specialised assistant for Survey Solutions Designer that understands the constrained C# environment, validation rules, and platform-specific patterns.
- Survey Solutions Universal Dashboard: A prototype universal dashboard for connecting to Survey Solutions servers and presenting interim project results in a more stakeholder-friendly format.
Latest thinking
Writing from the practical edge of AI and development data.
Survey cleaning
AI Agents for Survey Data Cleaning
Survey data cleaning is high-value, messy, and under pressure. Agentic workflows can prepare issue logs, callback sheets, open-end coding suggestions, and reproducible Stata implementation while keeping human decisions visible.
Fieldwork QCAI Agents for Survey Quality Control
Good fieldwork quality control is not just a dashboard. A dedicated agent can review questionnaires, write checks, compare enumerator patterns, analyse comments, and keep monitoring after intervention.
Agentic AIWhat OpenClaw Could Mean for International Development Organisations
OpenClaw points to a different kind of AI adoption for development teams: local workspaces, durable tasks, files, scripts, and agents that can keep working beyond a single prompt.