Sensitive-Topic Refusal Path

Outcome

The agent stays inside safe, approved boundaries on regulated or risky topics and routes those moments to a qualified person.

Main risk

The agent gives prohibited advice, or over-refuses harmless questions and frustrates good customers.

Prevention

Tune the classifier for high recall on truly sensitive topics, use approved language, and review false positives regularly.

Fallback

On any uncertainty, default to the safe refusal plus human handoff rather than attempting an answer.

Architecture overview

Sensitive-Topic Refusal Path uses a bounded agent handoff layer for AI Agents. A defined boundary for topics the agent must not handle on its own — medical, legal, financial advice, threats, or anything regulated — where it sa... The architecture connects list the prohibited and, openai, vapi, and qualified handoff with an explicit control path.

• Conversation layer: List the prohibited and restricted topics and the required response for each (decline, disclaimer, escalate)
• Reasoning layer: Add a classification check that runs before the agent answers and short-circuits on a sensitive match
• Tools layer: OpenAI runs the bounded conversation step for Sensitive-Topic Refusal Path while keeping tool use, transcripts, and escalation outcomes explicit.
• Records layer: Vapi connects calls, messages, calendar work, or CRM writes while tune the classifier for high recall on truly sensitive topics, use approved language, and review false positives regularly.
• Escalation layer: The agent stays inside safe, approved boundaries on regulated or risky topics and routes those moments to a qualified person.

Data flow

1. List the prohibited and restricted topics and the required response for each (decline, disclaimer, escalate)
2. Add a classification check that runs before the agent answers and short-circuits on a sensitive match
3. Return the approved refusal/disclaimer language and trigger the human escalation path
4. Log every trigger and review for both misses and over-blocking

Controls and fallbacks

• The agent gives prohibited advice, or over-refuses harmless questions and frustrates good customers.
• Tune the classifier for high recall on truly sensitive topics, use approved language, and review false positives regularly.
• On any uncertainty, default to the safe refusal plus human handoff rather than attempting an answer.

Tools

• OpenAI
• Vapi
• Retell
• GoHighLevel