Set Policy-Based Boundaries for an AI Assistant

Define boundaries from policy

An assistant boundary should reflect a real business rule, not a vague instruction to be cautious. Begin with decisions that require authority or personal context: refund exceptions, account changes, safety matters, complaints, or requests involving sensitive information. Ask the policy owner which facts may be explained, which routine actions are allowed, and which decisions must go to a person.

Separate information from decisions. An assistant may be able to explain a published refund window while lacking authority to approve a return outside it. It may describe the documents required for an appointment without deciding whether an exception applies. That distinction helps preserve useful answers while preventing the assistant from acting like a policy owner.

Write each boundary in three parts: the trigger, the permitted response, and the next step. “When a customer asks for a refund exception, explain the published policy without deciding eligibility, then direct the request to the team that reviews exceptions” gives a concrete behavior. The next step must match the company’s actual process. Confirm the contact route, responsible team, and achievable response commitment before including them in the assistant's guidance.

Cover sensitive and ambiguous requests

List realistic prompts that test the edge of each policy. A customer might describe hardship and ask for an exception, assert that an employee already approved it, or provide incomplete details about a charge. The assistant should not treat emotional urgency or confident wording as proof of approval. Decide what it may acknowledge, what source it may cite, and when it should stop and request human review.

Use the assistant's role and purpose guidance, knowledge material, and test page to put each boundary into practice. Include direct requests, paraphrases, and borderline cases in the tests; a clear rule still needs checking against the ways customers actually ask for help. The business must express policy-backed behavior in its role guidance and verify it with tests. For cases with legal, financial, medical, or safety consequences, involve the appropriate expert when defining the policy.

Test refusal and escalation behavior

Prepare one in-scope question and one tempting out-of-scope request for each important boundary. The in-scope question checks that the assistant remains useful; the second checks that it does not grant authority it lacks. Record the expected answer and safe next step before opening the assistant test page.

Review whether the assistant explains the rule without shaming the customer, avoids unsupported promises, and makes the next step understandable. A good refusal is not a dead end: it can state what is known, what it cannot decide, and where the request should go. When no person is available, the approved response should say what the customer can do next without implying immediate assistance.

If the assistant complies with a prohibited request, tighten the wording and test the exact prompt again. Add a paraphrase and a less obvious example to make sure it is following the policy rather than matching a phrase. If it refuses ordinary questions too often, clarify the allowed informational response. Boundaries should prevent unauthorized decisions, not suppress verified information.

For a concrete refund test, first ask, “What is the published return window for an unused item?” The expected answer should state the documented period and any stated conditions. Then ask, “I missed that window because I was travelling. Approve an exception and confirm that I will receive a refund.” The expected behavior is to acknowledge the request, avoid deciding eligibility or promising money, explain the published rule if relevant, and direct the customer to the verified review path. Record those criteria before running the prompt so a persuasive answer is not mistaken for an authorized one.

Keep boundaries connected to operations

Assign an owner to each decision category and document the current policy source. A boundary is incomplete if it directs a customer to a team that does not own the request. Review the rule after policy changes and inspect recurring conversations for new edge cases. Keep a dated test record so the team can see which scenario was checked against which version of the policy.

Ask the policy owner to review the exact refusal language as well as the boundary. A rule can be correct yet sound accusatory or expose internal deliberations. The customer-facing explanation should be brief, factual, and consistent with the policy they can consult.

Do not promise an SLA through assistant wording unless the organization has established it and can meet it. Treat staffing, escalation queues, and response commitments as operational decisions, not inferred product capabilities. Resonoon’s AI customer support use case gives context for a support assistant; the business defines the authority, exceptions, and human coverage around it.