This paper proposes Runtime Assurance Contracts (RACs) for high-risk AI agents to ensure autonomy boundaries and evidence-based decision-making. RACs define a formal schema for policy-level binding, evidence state, and transition policy, and demonstrate their effectiveness in various scenarios.