First choose one bounded AI agent task, not a model
Choose a task you can reverse
For the first deployment, choose one recurring task with a clear owner and a verifiable outcome, such as preparing a draft or flagging exceptions. The agent does not need to make a final decision independently. This choice makes the process discussable: which input is permitted, when is the outcome usable, and when does the workflow stop? The NIST Playbook describes a voluntary framework with the functions Govern, Map, Measure, and Manage. It is not a prescription for one specific agent, but it is a useful structure for avoiding treating design, deployment, and management as separate tool choices.
Make the trial verifiable before it becomes operational
Before the trial, define which examples you will use, who will assess the output, and which errors are grounds for stopping. Compare the outcome with the existing way of working and retain deviations as well as successful results. NIST states that AI systems must be tested before deployment and regularly during use; the source also mentions documenting functionality and trustworthiness. This supports a testing and measurement cadence, but does not prove that a particular agent delivers value or cost savings in every organization. Use this task decision sheet: record the task, process owner, permitted input and sources, permitted actions, human review, stop rule, cost limit, test result, and next decision. Update the sheet after each trial round; this makes clear which decision was made and what has not yet been demonstrated.
Keep human oversight and documentation at the high-risk boundary
For applications that fall under the rules for high-risk AI, the EU Regulation lists, among other things, risk management, relevant datasets, technical documentation and record-keeping, transparency, information for users, human oversight, robustness, accuracy, and cybersecurity. This list does not automatically make every business agent high-risk. It does show why a potentially regulated application cannot be addressed with only a good prompt or a successful demo. Therefore, assign someone responsible for the data flow, review, and decision to stop or expand the agent for each workflow. This approach is an editorial decision-making framework based on limited excerpts from NIST and the EU Regulation; it does not determine whether a specific application legally qualifies as high-risk and does not replace legal, security, or sector-specific advice.
