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AI Governance Product Roadmap

This roadmap outlines the current direction of AI Governance within House of Stake, based on the document AI Governance Product Roadmap.

It describes three key phases in the evolution of AI-driven governance β€” Support, Represent, Organize β€” each corresponding to a core product: Proposal Dashboard, Delegate Agent, and Manager Agent.


Phase 1: Support β€” Proposal Dashboard​

The first phase focuses on enhancing human participation in governance. Proposal Dashboard is an intelligent platform that helps authors, reviewers, and the community work with proposals more effectively and transparently.

AI capabilities include:

  • Evaluating and summarizing proposals based on clarity, completeness, and mission alignment;
  • Helping authors refine structure, reasoning, and relevance;
  • Supporting reviewers by identifying risks, gaps, and promising ideas.

At this stage, AI acts as a co-pilot for governance β€” augmenting human decision-making rather than replacing it.


Phase 2: Represent β€” Delegate Agent​

The second phase introduces representation through autonomous, customizable AI agents. Delegate Agent is a transparent AI delegate that participates in voting, informed by Proposal Dashboard evaluations and user-defined principles.

It enables:

  • Automated yet auditable participation in governance processes;
  • Transparent reasoning and traceable decision logic;
  • Personalization and adaptive learning through user feedback.

This phase makes governance scalable and accessible, allowing every participant to be represented β€” even without direct, constant involvement.


Phase 3: Organize β€” Manager Agent​

The final phase focuses on coordination and organizational management within DAOs. Manager Agent can manage committee membership, roles, and responsibilities in real time, based on objective and transparent criteria.

It enables DAOs to:

  • Automate role and membership management;
  • Prevent capture and improve accountability;
  • Scale through flexible, autonomous decision-making groups.

Here, AI agents don’t replace human judgment β€” they help determine who decides and how, enabling a dynamic, self-organizing governance model.


Conclusion​

This roadmap defines a pathway for integrating AI into decentralized governance β€” from support and analysis to autonomous coordination. House of Stake views artificial intelligence as a means to enhance human participation and transparency, building the foundation for governance that grows with the ecosystem and its collective values.