People-led, AI-powered change

AI-CATCH for Statistics

Turn dense standards into structured options, workshop-ready artefacts and traceable decisions — combining generative AI with expert facilitation.

AI-CATCH combines generative AI with structured problem-solving workshops, focusing on co-creation and the real organisational dynamics of national statistical institutes. While AI is useful for simple tasks, AI-CATCH integrates robust methodologies and human insight to solve complex issues — ensuring sustainable change by overcoming organisational barriers.

The method follows a clear sequence: Describe → Generate options → Co-create → Review → Decide. Every output is traceable. Every decision remains with people.

As an independent consultant I help organisations adopt AI-CATCH — from initial problem–solution analysis to capability planning grounded in the extended GAMSO model and the UN-NQAF.

Standards-aligned

Every output references UN-NQAF, GSBPM or GAMSO. No black-box recommendations.

Human-in-the-loop

AI generates options and trade-offs. Stakeholders evaluate, adapt and decide in facilitated workshops.

Decision logs

Embedded documentation and feedback loops create organisational memory — not just one-time fixes.