A 24-Test Production Readiness Review for AI Agents

The article discusses the importance of thoroughly evaluating AI agents before deploying them in production environments. It introduces a 24-test readiness review aimed at identifying potential issues that could arise when an AI agent interacts with tools and external systems. The review is divided into six gates, each focusing on different aspects of safety and reliability.

Gate 1 deals with identity and authority, ensuring that every tool call can be traced back to the authenticated user or service. Gate 2 focuses on tool and side-effect safety, checking if the agent only has access to the necessary tools and scopes for the current task. Gate 3 addresses bounded execution and recovery, ensuring that the agent respects resource limits and can handle cancellations gracefully.

Gate 4 examines injection and isolation, ensuring that untrusted content and primitive reachability are properly contained. Gate 5 looks at data, memory, and evaluation, ensuring that the agent minimizes data exposure and maintains proper memory management. Finally, Gate 6 covers observability and operations, ensuring that the agent provides sufficient observability for monitoring and incident response.

The article emphasizes that risk tiers, rather than a single universal bar, should be used to determine the level of scrutiny applied to different AI agents. Tier 0 agents are limited to generating text, while higher tiers (1-4) involve more complex tasks, such as reading approved data, creating reversible drafts, performing external side effects, or handling high-impact, regulated, or irreversible effects.

The more powerful the reachable primitive, the stronger the required safety measures, including narrower tool scopes, stricter approvals, stronger isolation, more repeated trials, zero-tolerance safety metrics, shorter credential lifetimes, deeper incident readiness, and smaller initial rollouts.