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How does Brilo AI handle warm call transfers?

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Written by Yatheendra Brahmadevera
Updated over a week ago

Direct Answer (TL;DR)

Brilo AI handles Warm Transfers by alerting a human agent, passing structured context, and then joining the live caller with that agent so the human can pick up without asking the caller to repeat information. The Brilo AI voice agent can send intent labels, recent transcript excerpts, and key entities as handoff metadata to the receiving agent; the transfer can be triggered by caller request, confidence thresholds, or configured keywords. Warm Transfers improve caller experience by preserving context and reducing repeat confirmations compared with cold transfers. Brilo AI’s Warm Transfers are configured in the agent’s escalation and call transfer rules.

  • Can Brilo AI do a warm transfer? — Yes. Brilo AI can perform warm transfers that notify a human agent and send context before connecting the caller.

  • How does a warm handoff work in Brilo AI? — The Brilo AI voice agent compiles a short context summary (intent, entities, transcript excerpt) and uses configured call transfer rules to alert the target agent, then connects the call.

  • Will Brilo AI pass caller details during a warm transfer? — When enabled, Brilo AI includes structured context metadata and recent transcript snippets so the human agent can resume smoothly.

Why This Question Comes Up (problem context)

Buyers ask about Warm Transfers because enterprise support teams need predictable, auditable handoffs between automation and humans. In regulated sectors such as healthcare and banking, callers expect a human to be able to continue a conversation without repeating sensitive details. Operations teams also want control over when the Brilo AI voice agent escalates (for example, low confidence or explicit “speak to a person” requests) and how context is preserved for compliance and efficiency.

How It Works (High-Level)

When a Warm Transfer is triggered, the Brilo AI voice agent follows a defined escalation flow: it compiles a short structured summary, alerts the target human endpoint, and then bridges the live call so the human joins with context. The agent’s call transfer rules determine triggers such as confidence-score thresholds, caller phrases, or explicit escalation intents. Administrators configure destinations in the Brilo AI phonebook and map routing rules to human queues or phone numbers.

Warm transfer is a handoff that alerts a human agent before connecting the caller and sends context metadata to the receiving agent. Handoff context is the structured package (intent label, recent transcript excerpt, key entities) the voice agent provides to minimize caller repetition.

For detailed behavior around interruptions and transfer modes, see the Brilo AI article on handling interruptions and transfer modes: Brilo AI interruption & transfer modes guide.

Related technical terms: warm transfer, cold transfer, handoff context, call transfer rules, confidence score, transcript.

Guardrails & Boundaries

Brilo AI’s Warm Transfers are subject to configured boundaries so the system only escalates when appropriate. Common guardrails include maximum clarifying attempts, confidence score thresholds for auto-escalation, and explicit caller requests that force immediate handoff. The Brilo AI voice agent will not escalate sensitive or regulated requests unless configured routing and data-handling policies permit passing that data to humans.

Confidence score is a runtime signal used to decide if a transfer or additional clarification is required. Cold transfer is a handoff that places the call to the human endpoint without prior notification or context transfer and should be used sparingly.

For more on when the Brilo AI voice agent should escalate because it doesn’t understand the caller, see: Brilo AI escalation & “I don’t understand” behavior.

Applied Examples

  • Healthcare: A patient calls to change a scheduled appointment and asks to speak to a scheduler. The Brilo AI voice agent detects the “speak to a person” phrase, compiles the patient’s intent and the appointment slot from the conversation, alerts the scheduler, and performs a Warm Transfer so the scheduler receives the caller plus the recent transcript excerpt. This reduces repetition and preserves context for patient safety.

  • Banking / Financial services: A customer shows ambiguous authentication responses. The Brilo AI voice agent hits a confidence threshold and performs a Warm Transfer to a fraud specialist, sending transaction context and the last utterances to the specialist so the human agent can verify identity and resolve the issue without starting from zero.

  • Insurance: During a claims call, if the caller mentions complex coverage terms that the voice agent flags as regulated or requiring adjudication, Brilo AI routes to a human claims adjuster via a Warm Transfer, attaching the claim ID and key entities.

Human Handoff & Escalation

Brilo AI supports multiple handoff modes: warm transfer with context, warm transfer without context, and cold transfer. Human handoff workflows can be explicit (caller says “I want to speak to a person”), automatic (confidence score below threshold), or rule-based (keyword or intent match).

Typical Brilo AI warm-transfer flow:

  1. Detect escalation condition (explicit request, low confidence, or rule match).

  2. Compile handoff context (intent label, entities, transcript excerpt).

  3. Alert the target human agent or queue via the configured destination.

  4. Connect the caller to the human and optionally record handoff metadata in the session log.

  5. If the human is unavailable, follow retry rules (voicemail, callback, or fallback queue) configured in the call transfer settings.

Handoffs can include a short audio briefing or purely structured metadata depending on telephony capabilities and your routing setup.

Setup Requirements

  1. Grant admin or agent-edit access to the Brilo AI console so you can edit escalation and call transfer rules.

  2. Configure destinations by adding target phone numbers or queues to the Brilo AI phonebook and verify reachability.

  3. Define call transfer rules and triggers (e.g., caller asks for human, low confidence, or safeguarding keywords).

  4. Map what context to pass (intent label, entities, transcript excerpts) and set retention and visibility rules for the handoff metadata.

  5. Test with a dedicated phone number and scripted scenarios, then deploy the agent configuration.

  6. Monitor sessions and tune confidence thresholds and retry behavior based on live data.

See the Brilo AI setup guidance for uncertain-call handling and transfer configuration: Brilo AI guide: what happens when the AI is unsure (transfer setup) and guidance on measuring voice agent accuracy for tuning thresholds: Brilo AI accuracy & tuning guide.

Business Outcomes

Well-configured Brilo AI Warm Transfers reduce caller frustration and average handle time by preserving context across the bot-to-human boundary. They improve first-contact resolution in complex or regulated workflows (healthcare, banking, insurance) by delivering actionable context to human agents. Operational teams can lower repeat questioning, increase agent productivity, and maintain clearer audit trails for escalations.

FAQs

What exactly does Brilo AI send during a warm transfer?

Brilo AI sends a configurable handoff package that typically includes an intent label, key entities, a short transcript excerpt, and session metadata. The exact fields are set in the agent’s transfer configuration and must comply with your data-handling policies.

Can Brilo AI warm-transfer to multiple human endpoints or queues?

Yes. Brilo AI can route warm transfers to a single agent, a queue, or failover destinations based on availability rules and your phonebook mappings. Configure retry and fallback behavior in the call transfer rules.

Will the caller hear the Brilo AI speaking while the human is alerted?

That depends on your telephony setup. Brilo AI can play a brief bridging prompt while alerting the human agent, but you control that behavior in the transfer flow settings and prompts.

How does Brilo AI decide between warm transfer and cold transfer?

Decisions are based on configured rules: warm transfers are preferred when context preservation is important or when a human should be notified first. Cold transfers occur when configured or when telephony limitations prevent bridging.

Is the transfer logged for audit or training?

Yes. Brilo AI records handoff metadata and session transcripts as part of the session log, subject to your data retention and recording policies configured in the console.

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