For years, I have worked in results-based management, supporting nonprofit and development programs through manual activities design and implementation.

After that, I began using a dedicated GPT tool to support this work and improve consistency in early-stage analysis and drafting, for example https://Inkd.in/dbmBAXMB

I have now created and am actively piloting the next step with OpenClaw autonomous sub-agents, including this focused skill for nonprofit RBM logic model development: https://Inkd.in/d4dbTz6p https://Inkd.in/dYuhhN8r

This is an early-stage effort, but the objective is practical. Maybe I will build a set of specialized agents for development consulting workflows, with a clear human-in-the-loop approach for expert validation and decision quality.

There are still many unresolved challenges on the horizon, from data confidentiality and security to governance and accountability. At the same time, the direction of development is clear, and this shift is unlikely to stop.

The long-term direction is to help digitize core consulting companies roles and processes, from problem definition and theory of change to indicators, assumptions, risk logic, and adaptation planning, while maintaining methodological rigor.

If you work in nonprofit, development consulting, or simply experimenting with Agentic Al, I would be glad to exchange experience and test relevant use cases.

You can also follow my technical work and experiments here: https://Inkd.in/d_RwMaFp