Brilo AI ContextShare passes a concise, structured snapshot of the live call to the human agent at handoff. That snapshot typically includes the conversation history (transcript and recent utterances), the AI-detected customer intent, any captured form data or verification fields, sentiment flags, and relevant call metadata to speed resolution. ContextShare is designed so the receiving agent sees what the caller already said, why they called, and what actions the AI attempted before escalation. This reduces repeat questions and minimizes transfer friction.

What information is passed to the human agent? — ContextShare forwards a summary, transcript, detected intent, and any captured fields so agents can pick up immediately.

Which details does ContextShare send during a handoff? — It sends conversation history, intent, captured data, sentiment markers, and routing metadata.

Does ContextShare include the full transcript or only a summary? — It can include both: a short context summary plus the recent transcript and captured fields for review.

Buyers ask about ContextShare because real-world handoffs are where customer experience and compliance risk converge. Enterprise teams want to avoid callers repeating confidential information, ensure agents have verification data, and limit exposure to inaccurate AI summaries. Technical and compliance owners need to know what data will be visible in agent desktops, what is stored, and how handoffs affect workflows and auditability.

When a caller is escalated, Brilo AI generates a ContextShare package in real time. That package contains a context summary derived from the active conversation, a time-stamped transcript snippet, detected intents and entities, and any fields the AI captured (for example: account number, appointment time). The ContextShare package is attached to the transfer request and delivered to the receiving agent’s interface or to your webhook/CRM when configured. In Brilo AI, ContextShare is the runtime mechanism that bundles conversational context for human handoff.

In Brilo AI, conversation history is the ordered sequence of recent utterances and system actions preserved for handoff.

In Brilo AI, context summary is a short natural-language summary of the caller’s need and what was already attempted by the AI.

Brilo AI applies configurable guardrails to what ContextShare includes. By default, administrators can limit which fields are captured, mask sensitive data, and restrict summaries for regulated topics. Brilo AI will not automatically disclose backend tokens, raw audio recordings, or system credentials in ContextShare unless you explicitly configure storage and display rules. Use conservative confidence thresholds to avoid escalating on low-confidence intent detections and require manual review for any sensitive-verification handoffs.

In Brilo AI, escalation confidence threshold is the configured certainty score that the AI must exceed before initiating an automated handoff.

Healthcare example: A patient calls to reschedule a laboratory appointment. Brilo AI’s ContextShare forwards the recent transcript, the detected intent “reschedule appointment,” the patient ID captured during verification, and the proposed new date to the nurse scheduler. The human agent sees the verification fields and proposed slot, so they can confirm without re-asking routine questions.

Banking / Financial services example: A retail banking caller requests a card dispute. ContextShare includes the detected intent “card dispute,” the last four digits captured, the merchant name parsed from speech, and a sentiment flag indicating elevated frustration. The receiving fraud specialist gets the captured fields and transcript excerpt to validate and continue the investigation.

Insurance example: During a claims intake, Brilo AI captures policy number, incident date, and a short loss description. ContextShare sends that structured data plus the transcript snippet to the claims adjuster’s queue so the adjuster can focus on next steps instead of repeating intake.

Handoffs can be configured as warm transfers (agent joins the call) or cold transfers (agent receives context and calls back), depending on your routing rules. When enabled, Brilo AI will attempt to transfer the call and deliver the ContextShare package to the designated agent or team. You can require an agent to acknowledge the ContextShare before the AI completes the transfer, enable agent-side preview of the summary and transcript, or route to a human queue based on detected intent, sentiment, or captured fields. For regulated topics or low-confidence cases, require a manual approval step before the AI initiates a transfer.

What exactly does ContextShare include by default?

By default ContextShare includes a short context summary, recent transcript snippets, detected intent and entities, any AI-captured fields, and routing metadata. Administrators can remove or redact fields to meet internal policies.

Can I prevent sensitive fields from being sent to agents?

Yes. Brilo AI allows you to configure field-level masking and redaction rules so that sensitive values are never displayed in ContextShare unless explicitly allowed.

Will the full audio recording be sent with ContextShare?

No. ContextShare primarily delivers text-based summaries, transcripts, and structured data. Audio delivery is a separate configuration and should be enabled only if your policies and systems require it.

Can ContextShare trigger different routing based on sentiment?

Yes. When sentiment detection is enabled, ContextShare can include sentiment flags that your routing rules can use to prioritize or escalate calls to specialist queues.

How long is ContextShare stored and where?

Storage behavior depends on your Brilo AI deployment configuration and retention settings. Work with your Brilo AI implementation lead to align retention to your data governance policies.