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Can we control exactly what the AI says?

Y
Written by Yatheendra Brahmadevera
Updated over a month ago

Direct Answer (TL;DR)

Yes. Brilo AI supports controls and configuration so you can constrain what the Brilo AI voice agent says in calls. You can limit topics, require source grounding before the agent states account or clinical facts, set conservative fallback wording, and trigger immediate human handoff when the agent's confidence is low. These controls combine content policy, knowledge base grounding, and routing rules to produce predictable, auditable speech behavior from the Brilo AI voice agent.

Can we limit the agent to fixed responses? — Yes. You can restrict replies to scripted phrases or KB-backed templates; when larger language responses are allowed, Brilo AI can enforce fallback and escalation rules.

Can the agent be forbidden from certain topics? — Yes. You can define out-of-scope topics and force an immediate human handoff for those subjects.

Can we make the agent use only our exact phrasing? — It can be configured to use strict templates or short approved-response sets for sensitive exchanges; broader natural language requires careful guardrails.

Why This Question Comes Up (problem context)

Enterprise teams ask this because phone conversations often carry regulatory, privacy, or brand risk. Healthcare and financial services buyers need predictable, auditable wording to avoid incorrect clinical guidance or account disclosures. Procurement and compliance teams also want to ensure the Brilo AI voice agent does not improvise or provide unauthorized commitments to a caller. This question is about controlling both content and behavior: what the agent may say, how it justifies factual claims, and when it must defer to a human.

How It Works (High-Level)

Brilo AI provides three complementary control layers to determine what the Brilo AI voice agent says: scope rules, grounding sources, and response templates. Scope rules define allowed topics and automatically mark out-of-scope subjects for escalation. Grounding sources—your knowledge base (KB) or CRM—are required before the agent may state account-specific or clinical facts. Response templates and conservative fallback responses limit free-form generation to approved phrasing when needed.

In Brilo AI, scope is a configuration that lists allowed subjects and out-of-scope topics the voice agent must not answer.

In Brilo AI, grounding source is the approved data set (for example, your KB or CRM) the agent must cite before asserting customer-specific or clinical details.

In Brilo AI, fallback response is the conservative reply the agent uses when confidence is low or no authoritative data is available.

For more on conversation length and context you can review how Brilo AI manages multi-turn conversations and session limits in the article about long conversations: Brilo AI: Can the AI handle long conversations?

Related technical terms used here include guardrails, knowledge base (KB), confidence threshold, fallback response, human handoff, intent detection, and ASR transcription.

Guardrails & Boundaries

Brilo AI enforces explicit guardrails so the voice agent stays within configured limits. Common guardrails include topic allowlists/blocklists, required grounding for account or clinical facts, and confidence thresholds that trigger clarification or handoff. The Brilo AI voice agent should never fabricate facts when configured to require grounding; instead it uses a conservative refusal and routes to a human.

In Brilo AI, confidence threshold is the configured level below which the agent will not assert uncertain facts and will either ask to clarify or escalate to a human.

Do not use the Brilo AI voice agent to perform actions requiring human authorization unless you enable supervised workflows; instead mark those flows as “requires human approval” so the agent only offers next-step suggestions.

For configuration and answer-quality controls, see the Brilo AI article on preventing made-up answers and using conservative fallbacks: Brilo AI: How do you prevent wrong or made-up answers?

Applied Examples

Healthcare example:

A health system configures the Brilo AI voice agent to refuse any medication dosage advice unless a provider-confirmed KB entry exists. When the agent cannot ground the claim, it uses a scripted refusal and offers to schedule a clinician callback.

Banking/insurance example:

A bank configures allowed topics for balance inquiries and payment due dates but marks loan decision explanations as out of scope. If the caller asks about underwriting, the Brilo AI voice agent replies with a fixed refusal and routes the call to underwriting or a representative.

These examples show how combining scope rules, KB grounding, and fallback templates keeps spoken responses safe and auditable in regulated sectors.

Human Handoff & Escalation

Brilo AI voice agent workflows can hand off to a human or to a supervised workflow when configured. Handoff triggers include low confidence on intent or facts, explicit caller requests to speak to an agent, repeated clarification failures, or detection of out-of-scope topics. During handoff, the Brilo AI voice agent can pass a summary of the interaction, tags (for reason codes), and any collected metadata to your agent desktop or routing system. You should define which data the agent may share during handoff to preserve privacy and compliance.

Setup Requirements

  1. Provide authorized response templates and blocks of disallowed phrases for sensitive flows.

  2. Connect your knowledge base (KB) and confirm which entries the Brilo AI voice agent may cite.

  3. Define scope rules: list allowed topics and explicit out-of-scope topics.

  4. Set confidence thresholds for intent detection and model output to trigger fallback or handoff.

  5. Configure fallback wording and the human handoff destination (your CRM, agent queue, or webhook).

  6. Test with supervised pilot calls and iterate on wording and escalation rules.

For guidance on configuring the agent reaction to misunderstanding and handoff behavior, see: Brilo AI: What happens if the AI doesn’t understand the caller?

Business Outcomes

When configured with clear controls, the Brilo AI voice agent reduces risk by preventing unsanctioned statements and routing sensitive requests to humans. Operational benefits include more consistent caller experiences, fewer compliance incidents tied to conversational errors, and clearer audit trails for spoken outputs. These outcomes support safer automation in healthcare and financial workflows without conceding control of spoken language.

FAQs

Can I force the Brilo AI voice agent to use only my exact script?

Yes. You can restrict the agent to a set of approved templates or short responses for specific flows; outside those flows the agent can be allowed broader conversational capability if you enable it.

Will the Brilo AI voice agent ever invent a fact?

When configured to require grounding and conservative fallbacks, the Brilo AI voice agent will refuse to answer rather than invent facts. You should enable confidence thresholds and KB grounding to prevent fabrication.

How do I audit or review what the agent said on calls?

Brilo AI logs transcripts, tags for fallback/refusal events, and handoff reasons. Use those logs to review policy hits and iterate on scripts and KB content.

Can the agent cite our CRM records during a call?

Yes, when you connect and authorize your CRM as a grounding source the Brilo AI voice agent can read account-specific details, provided you configure the grounding requirement and privacy controls.

What happens if a caller interrupts the agent?

The Brilo AI voice agent supports interruption handling; if interruption causes confusion or repeated clarifications, configured escalation rules (such as handoff to a human) will activate.

Next Step

  • Review how Brilo AI scales and performs under load to understand operational limits and routing needs: Brilo AI: How does performance scale with high call volume?

  • Explore Brilo AI’s call intelligence and solution overview to plan policies and templates for your program: Brilo AI call intelligence solutions

  • Start a configuration pilot: provide your KB excerpts, a short list of sensitive topics, and preferred fallback templates so Brilo AI can draft guardrails and a supervised pilot workflow.

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