A useful AI agent needs a clear understanding of how far it may go. “Help me run the business” leaves too much room for interpretation. “Prepare three replies using these approved facts, then show them to me” gives the system a task and a boundary.
Think of that boundary as a budget for decisions. Some decisions are small and reversible. Others affect customers, money or public commitments. Giving them different levels of authority makes delegation easier to understand and review.
Name the action, not just the ambition
Consider an assistant helping with enquiries. It might organise incoming questions, identify a relevant help article and prepare a draft. Sending a refund promise is a different action. Updating the customer’s account is another. Each step deserves an explicit rule.
A practical brief can state the permitted action, the information it may use, the maximum scope and the point at which a person takes over. For example: classify these twenty messages; use only the supplied categories; leave ambiguous cases unassigned; return a summary. That brief can be assessed without guessing what “handle the inbox” meant.
Make stopping part of successful work
A system that stops when information is missing may be doing exactly what it should. If a customer gives two different order numbers, asking for clarification can be a better outcome than confidently choosing one. Measure whether the agent respected its boundary alongside whether it completed the task.
The NIST AI Risk Management Framework organises its core around Govern, Map, Measure and Manage. That provides a broader foundation for thinking about context, responsibility and evaluation. The decision-budget approach here is a practical editorial suggestion, not an official NIST checklist. See the NIST framework overview.
Review the boundary after use
Keep a short record of what the agent attempted, completed and escalated. If it repeatedly stops at the same harmless step, clarify the instruction. If it takes an action beyond its brief, investigate before widening access.
There is a trade-off: tighter boundaries can create more human work. The answer is to expand authority where evidence supports it, with a named person responsible for that choice. Start with one workflow and a limit you can explain in a sentence. Useful autonomy begins with a shared understanding of what has actually been delegated.
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