Yes. Brilo AI Escalation Analytics can track and analyze escalation rates so you can see how often calls move from an AI voice agent to a human, why they escalate, and which workflows drive the most handoffs. Escalation Analytics combines speech analytics, intent detection, confidence scores, and call summarization to produce time-based and cohort views of escalation rate, handoff reason, and post‑handoff outcomes. You can filter by agent, queue, caller intent, or transfer type to prioritize training, script changes, or routing adjustments.

Can escalation rates be tracked?

Yes — Brilo AI tracks escalation rates and provides dashboards and exportable reports for analysis.

How do I analyze why calls escalate?

Use Brilo AI’s Escalation Analytics to correlate low confidence scores, detected sentiment, or specific intents with increased handoff frequency.

Can I see escalation trends over time?

Yes — Brilo AI shows escalation rate trends, cohort comparisons, and per-flow breakdowns to surface regressions or improvements.

Buyers ask this because uncontrolled or opaque escalations increase agent load, reduce first‑contact resolution, and hide opportunities to improve automation. Regulated sectors such as healthcare and banking must also audit handoffs for quality and compliance reasons. Security, predictable staffing, and measurable automation performance are central procurement concerns for enterprise teams evaluating Brilo AI voice agent call handling.

Brilo AI Escalation Analytics aggregates metadata and transcribed insights from every interaction. The system records when the AI voice agent initiates a warm transfer, a cold transfer, or a callback handoff, captures the confidence score and detected intent, and attaches the post‑handoff call summary to the record. Analysts can slice by voice flow, intent label, agent skill group, or custom tags.

Escalation rate is the percentage of started calls that transfer from the AI voice agent to a human agent within a selected period.

Handoff reason is the structured label (for example: low confidence, caller requested human, regulatory/sensitive topic) attached to a transfer event.

Call summarization is the automated short brief passed to the human agent at handoff that contains intent, recent utterances, and suggested next steps.

For more on the analytics and reporting capabilities that feed escalation metrics, see Brilo AI’s call intelligence overview: Brilo AI call intelligence solutions.

Technical terms used: escalation rate, handoff rate, confidence score, intent detection, speech analytics, call summarization.

Brilo AI’s escalation analytics is designed for operational visibility, not for making legal or clinical decisions. Escalation triggers are bounded by configured confidence thresholds, explicit caller requests for a human, and routing rules you define. Brilo AI will not automatically override your routing policies; it records and surfaces events that meet your escalation criteria.

Confidence score is a runtime signal indicating the agent’s certainty in intent classification; low-confidence events are commonly surfaced for escalation review.

Do not rely on analytics alone to approve automated decisions in regulated workflows — use the metrics to inform policy and to configure safe escalation behavior. For guidance on when Brilo AI escalates and how to attach context to a handoff, see the real‑time escalation and handoff description at: How AI voice agents can reduce support ticket volume (real‑time escalation).

Healthcare example:

A hospital’s Brilo AI voice agent detects repeated negative sentiment plus a low confidence score around a medication question. Escalation Analytics flags these transfers and shows that medication‑related intents produce a disproportionately high escalation rate, prompting a review of the agent’s knowledge base and routing to clinical staff.

Banking example:

A retail bank uses Brilo AI Escalation Analytics to isolate escalations caused by identity verification failures. The analytics show a pattern tied to one IVR path; the bank updates the verification prompts, reducing unnecessary transfers and decreasing repeat callbacks.

Insurance example:

An insurer reviews escalation reasons and finds that claims with ambiguous policy language escalate more often. Brilo AI metrics let compliance and product teams prioritize clarifications that reduce human handoffs.

Brilo AI voice agent workflows can hand off to a live agent, a specialist queue, or a callback workflow when configured. During handoff, Brilo AI attaches a machine‑generated summary, the detected intent, recent transcript snippets, and confidence scores to the ticket or CRM record so the receiving agent starts with context and avoids repetition. Handoffs can be configured as warm transfers (bridge the call to an available agent) or callback handoffs (schedule a supervised callback), and routing rules can prioritize skill groups based on intent labels.

When enabled, Brilo AI also logs the transfer type and outcome (accepted, missed, or abandoned) so escalation analytics include end‑to‑end handoff effectiveness.

For guidance on detecting intent and call deflection settings used to reduce escalations, consult: How Brilo uses AI call deflection.

Tracking escalation rates with Brilo AI helps you:

These outcomes support operational efficiency and better customer experience without making compliance or legal claims.

Can I export escalation data for BI tools?

Yes. Brilo AI allows exports of escalation events and related metadata in common formats so you can join them to your BI dataset for deeper analysis.

How granular are escalation reason labels?

Brilo AI supports configurable reason labels (for example: low confidence, policy exception, verbal request) and can attach intent and sentiment metadata to each label for operational triage.

Does Brilo AI record the audio for escalated calls?

When call recording is enabled in your account and compliant with local policy, Brilo AI stores recordings and transcripts linked to escalation events so reviewers can audit context before and after handoff.

Can I see escalation rate by agent skill group?

Yes. Brilo AI can group escalation metrics by queue or agent skill group so you can compare handoff behavior across teams.

Will Brilo AI automatically reduce escalations over time?

Brilo AI surfaces the data and can be used to automate changes (for example, adjust confidence thresholds or update scripts), but any production configuration changes should follow your deployment and review process.

If you’re evaluating escalation trends, collect a two‑week sample period, export escalation events, and schedule a review with your Brilo AI onboarding or analytics contact to map the next automation or routing changes.