Brilo AI Context Transfer passes structured conversation context to human agents during a handoff so the agent can resume the call without asking the caller to repeat information. The Context Transfer feature typically includes the recent transcript, detected intent, extracted entities, and session metadata; it can be delivered as a short summary or a full transcript depending on your routing and telephony setup. Context Transfer is applied during warm transfers, cold transfers with notes, and callback handoffs when configured. It is governed by confidence thresholds, escalation rules, and your organization’s data-handling settings.

Does Brilo AI pass prior chat or call details to a live agent? — Yes. Brilo AI sends a structured summary (intent, entities, recent utterances) and the recent transcript to the receiving agent so they can pick up the conversation.

Will the human agent see the AI’s interpretation of the caller’s request? — Yes. Brilo AI includes detected intent and extracted entities in the handoff package to reduce repetition and speed resolution.

Can context be limited for privacy or compliance reasons? — Yes. You can configure which fields (transcript, PII, audio) are forwarded during Context Transfer and which are redacted.

Buyers ask about Context Transfer because human agents lose time when callers repeat information during escalations. In regulated sectors (healthcare, banking, insurance), the stakes are higher: repeating sensitive information increases risk and friction. Decision-makers need to know what Brilo AI passes, how it is formatted, and what guardrails exist so they can meet operational goals and compliance requirements.

When a Brilo AI voice agent triggers a handoff, it collects a handoff package that contains structured and unstructured data from the active session. The standard handoff package includes a short context summary, the last N utterances, the detected intent label, extracted entities (for example, account number or claim ID), and session metadata (timestamps, confidence scores). Handoffs can be initiated by routing rules, low confidence, explicit caller requests, or safety triggers.

In Brilo AI, Context Transfer is the configured flow that bundles session details and sends them to the human endpoint during escalation.

In Brilo AI, detected intent is the system’s best label for the caller’s purpose derived from the active session.

In Brilo AI, session metadata is the structured record (timestamps, confidence, routing tags) attached to a call for operational continuity.

For more on how Brilo AI detects intent and which signals feed context, see the Brilo AI intent detection article: Brilo AI intent detection article.

Brilo AI Context Transfer is subject to configured guardrails to protect privacy and maintain call quality. The platform will not forward audio or transcript fields that your account settings or data-retention policies block. Escalation should not be used to bypass explicit data-disclosure policies for PHI or financial credentials.

In Brilo AI, a confidence threshold is the configured cutoff that triggers escalation when intent detection confidence falls below the set value. When enabled, low confidence levels cause the system to send a handoff with the latest transcript and an annotation explaining low confidence. You can also require manual confirmation before passing sensitive fields.

For implementation details on interruption handling and when Brilo AI should escalate early, see: Brilo AI interruption & escalation guide.

Healthcare example: A patient calls to reschedule a procedure. Brilo AI detects intent “reschedule appointment,” extracts the appointment ID and preferred dates, and forwards a Context Transfer summary to the scheduling nurse. The nurse receives the transcript excerpt, intent label, and appointment ID so they can confirm and finalize the change without asking for repeat details.

Banking example: A caller reports a suspected fraudulent charge. Brilo AI detects intent “report fraud,” extracts transaction details the caller provided, and routes the call to fraud operations with the transcript and entity flags. The fraud analyst receives the context summary and confidence score to prioritize verification steps.

Insurance example: A claimant calls with a collision report. Brilo AI extracts policy number and incident summary, then sends a Context Transfer to the claims adjuster with the recent utterances and detected entities so the adjuster can begin intake immediately.

Note: These examples describe how Brilo AI typically packages and routes context. Validate any specific data-handling requirements with your compliance team.

Handoffs are tied to routing rules and availability. When a handoff is triggered, Brilo AI annotates the package with why the transfer occurred (low confidence, safety rule, user request), so the human agent has immediate context and knows whether the AI’s interpretation needs verification.

What exactly is included in the handoff package?

Typical packages contain a short context summary, recent transcript excerpts, detected intent, extracted entities, and session metadata (timestamps and confidence). The exact fields forwarded are configurable in your Brilo AI settings.

Can we stop forwarding transcripts containing PHI or financial data?

Yes. Brilo AI allows you to configure which fields are redacted or excluded from Context Transfer so transfers can comply with your internal privacy policies.

Does the receiving agent get the audio recording as part of Context Transfer?

Audio forwarding depends on your account settings and legal/data-retention policies. You can enable or disable audio in handoffs; when disabled, Brilo AI still provides a transcript and summary.

How does Brilo AI indicate why a handoff happened?

Every handoff package includes an escalation reason (for example, low confidence, user asked for human, or safety trigger) and the last confidence score so agents understand context quality.

Can Context Transfer be sent to our CRM instead of a human agent UI?

Yes. You can map the handoff payload to a webhook or your CRM so the context creates or updates a record before an agent picks up.