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
AI agents are becoming genuinely useful collaborators for technical teams. Tools like Codex, Claude Code, and other agentic development environments can read documentation, inspect files, write code, and work through multi-step tasks. But t [...]
Survey cleaningThe Concept Survey data cleaning is one of those jobs that matter enormously yet remains largely manual, and often a little messy! By the time a project reaches cleaning, teams are under pressure, fieldwork has moved on, and nobody wants to spend days buried in spreadsheets working out which cases to keep, which values to [...]
Fieldwork QCHigh-quality data collection sits at the heart of good statistics. Many survey teams recognize the importance of conducting thorough Quality Control (QC) from the outset of fieldwork, but time constraints and competing priorities often prevent it from receiving the necessary attention. That is the gap I have been exploring at Impact Engines, particularly the potential [...]
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.