Querio has introduced an AI-driven system that brings automation to the review of proposals on the Internet Computer Protocol. The tool is designed to address one of the long-standing challenges in decentralised governance: proposals often contain code changes that affect core infrastructure, yet the time available for scrutiny is short and the information is scattered. By producing automated reports that are permanently stored on chain and easily accessible, the system offers a new layer of transparency and efficiency.
The process begins when a new proposal is created in the Network Nervous System. Querio’s plugin retrieves it, extracts repository and commit details, and builds a comparison link to the code changes. These changes are then split into smaller segments and analysed by a large language model. The findings are aggregated into a structured report, encoded, and stored on chain to ensure permanence. A web application provides a clear view of severity ratings, affected files, and supporting rationale, while an open chatbot distributes direct links to the reports as soon as they are live.
For voters, this means timely insights into the risks of each proposal before casting their vote. Developers can see exactly which files and lines are highlighted, giving them a precise understanding of potential issues. The wider community benefits from a lasting and verifiable audit trail, ensuring governance decisions are made with a stronger foundation of knowledge.
The project’s future scope extends beyond the NNS, with plans to apply the same framework to service-level governance systems. This would open the way for dashboards with trend analysis, community-specific risk scoring, and alerts that provide direct access to full reports.
While the technology introduces greater transparency, questions remain around accuracy and accountability. Automated audits can be powerful, but their reliability depends on the quality of the model and the ability to keep pace with evolving security practices. Community responses to potential false positives or overlooked issues will shape how widely this tool is trusted.
Querio’s update represents a step towards balancing automation with community oversight, highlighting the role AI can play in strengthening governance without removing human responsibility.
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