AI work leaves plenty of trace. The problem is that those traces are scattered across platforms, organized around conversation flow, and not structured around the questions an audit actually asks. CARCS closes that gap with a ten-section governed record built from a three-part prompt suite. It works on any AI platform. Named human sign-off is required before finalization. This working paper releases the protocol for feedback and collaboration from governance practitioners, compliance officers, and researchers.
audit trail
HAIA-RECCLIN Agent Architecture Specification
Autonomous Agent for Audit-Grade Multi-AI Collaboration (PDF) Executive Summary This specification defines the architecture for the HAIA-RECCLIN agent, a governance record-keeping system with dispatch and synthesis capabilities for multi-AI collaboration. The agent automates audit-grade documentation of every human-AI interaction, replacing heroic manual effort with systematic, append-only logging that works to meet regulatory requirements including the […]