ARKVOID addresses a specific accountability gap in enterprise AI deployments: when an autonomous agent takes an action, most systems leave no reliable record of what happened, which model decided it, what tools were invoked, or whether a human approved it. ARKVOID inserts a governance layer that creates tamper-proof logs of every AI action, monitors risk at runtime, and captures the full decision chain — model identity, tool usage, and approval status — as events unfold. It's built for teams running agentic workflows where auditability is non-negotiable: compliance teams, AI platform engineers, and organizations deploying AI in regulated or high-stakes environments who need to answer 'what did the agent actually do, and why?' without reconstructing logs after the fact.