Choose the control layer before giving an AI agent more authority
The production decision starts with controllability
Choose a limited production pilot, not a broad rollout based on model quality alone. An agent that only creates a draft requires a different control layer than an agent that retrieves customer data, sends a message, or prepares a transaction. Before the pilot, therefore, define where the agent runs, which tools are available in that runtime, on whose behalf it acts, and which action requires human approval. The NIST passage specifically concerns monitoring deployed AI systems and cites variability and unpredictable behavior as reasons for post-deployment monitoring; it is not evidence that every agent fails without this setup. The European Commission describes obligations for high-risk AI systems before they are placed on the market. That scope makes logging and risk management especially relevant there, but it does not automatically place every internal agent in that category.
Turn six checkpoints into a single release decision
Use the same order for every workflow: runtime, identity, data, transactions, logging, and emergency stop. For identity, define the limited authority the agent receives; for data, define which sources and fields are and are not available; for transactions, define which amount, channel, or consequence triggers prior human review. Logging must make it clear afterwards which input, tool steps, outcome, and escalation belonged to an action. This aligns with the source passage on logging for traceability, without suggesting that source rules apply one-to-one to every organization. The emergency stop is an operational checkpoint: assign an owner who can revoke access, pause tasks, and block follow-up actions. Test that path in the pilot, because a documented stop mechanism is not yet a working stop mechanism.
Use a decision register that can also stop the pilot
Practical tool: create a decision register for each agent workflow with these fields: purpose and owner; runtime and permitted tools; acting identity; permitted data; transaction limit and human escalation; log location and emergency-stop owner. Include the following verbatim: "For each agent workflow, record: runtime, acting identity, permitted data sources, transaction limit, required human approval, log location, owner of the emergency stop, and the tested stop action." Expand only when every field has an owner and the stop action has demonstrably been tested. The substantive limitation remains: "This article is based on passages about monitoring deployed AI systems and obligations for high-risk AI systems; it does not determine whether a specific agent legally qualifies as high-risk and does not constitute individual legal, financial, or professional advice." This makes the register a decision-making tool for teams, not a compliance assessment.
