Direct Answer (TL;DR)
Brilo AI measures resolution rate as the percentage of incoming calls the Brilo AI voice agent completes without requiring a repeat contact, human escalation, or follow-up within a defined window. Measurement combines call outcome classification, intent detection, and transcription-based evidence to mark an interaction as “resolved” or “unresolved.” Brilo AI reports resolution rate alongside related metrics such as first contact resolution (FCR), time-to-resolution, and escalation rate so teams can track automation effectiveness and quality. Resolution rate is calculated over a chosen reporting period and can be grouped by call flow, intent, or customer segment.
How do you define resolution rate for voice agents? — Resolution rate is the share of calls finished by the Brilo AI voice agent without a required follow-up.
Is resolution rate the same as first contact resolution? — Not always; first contact resolution (FCR) is a common form of resolution rate focused specifically on issues closed on the first interaction.
How do you measure resolved vs unresolved calls? — Brilo AI uses outcome labels from intent detection, transcription cues, and routing actions (e.g., no transfer, no ticket created) to decide if an interaction counts as resolved.
Why This Question Comes Up (problem context)
Buyers ask about resolution rate to judge whether Brilo AI voice agent capabilities actually reduce repeat work, lower human agent load, and improve customer experience. Enterprise teams need to know how Brilo AI’s resolution rate ties to operational goals like lowering call volume, reducing time-to-resolution, and improving first contact resolution. Procurement, operations, and compliance teams also want transparent, auditable definitions and evidence used to compute the metric for regulated sectors such as healthcare and banking.
How It Works (High-Level)
When enabled, Brilo AI combines real-time intent detection, live transcription, and post-call outcome classification to determine whether a call was resolved. The system evaluates:
whether the caller’s intent reached a final state (for example: payment completed, appointment scheduled, claim status confirmed),
whether the call was transferred to a human or an external workflow, and
whether follow-up actions (tickets, outbound tasks) were created after the call.
Resolution rate is the percentage of calls flagged as resolved during the measurement window. Call outcome classification is the automated labeling of each call as resolved, unresolved, or escalated based on intent detection and post-call evidence. Brilo AI can report resolution rate alongside related analytics such as call deflection and transcription accuracy to give a fuller picture of automation performance. For more on how Brilo AI extracts call data and insights, see Brilo AI’s AI in customer service resource: Brilo AI: AI in Customer Service | Ultimate Guide (2025).
Guardrails & Boundaries
Brilo AI applies clear guardrails when counting a call as resolved. It will not mark calls resolved when:
intent detection confidence is below your configured threshold,
the call was transferred to a human agent before completion,
a follow-up ticket or scheduled callback was generated by the workflow,
the interaction contains sensitive or regulated instructions that require human review.
Escalation rate is the share of interactions routed to human agents or external workflows before automated resolution completes. Brilo AI’s analytics also exclude known noisy sessions (e.g., failed transcriptions) to avoid inflating resolution rate. For guidance on routing and when automated resolution should step aside, see Brilo AI’s intelligent routing and call routing discussion: Brilo AI: How Intelligent Call Routing Improves Customer Service.
Applied Examples
Healthcare example
A Brilo AI voice agent handles appointment bookings and pre-visit triage. A call that results in a confirmed appointment with no required clinician review and no follow-up ticket is counted as resolved. Calls that require clinician confirmation or create a follow-up task are marked unresolved and routed.
Banking / financial services example
For a balance inquiry or payment confirmation, Brilo AI marks the interaction resolved when the agent authenticates the customer, confirms the balance or posts the payment, and no dispute ticket is opened. Calls that trigger fraud review or human verification count as escalations.
Insurance example
A Brilo AI voice agent provides claim status updates. The call counts as resolved when the caller’s intent (status verification) is satisfied and no claim update workflow or agent follow-up is required.
These examples illustrate typical Brilo AI behavior; specific workflows and regulatory requirements may affect whether a call should be counted as resolved.
Human Handoff & Escalation
Brilo AI voice agent workflows can hand off to a human or another system when configured conditions are met. Common handoff triggers include low intent confidence, detection of sensitive information, customer request for a live agent, or a business rule requiring human approval. When a handoff occurs, Brilo AI records the routing action and marks the call as escalated for reporting, which excludes it from automated resolution rate counts by default.
Handoff can be configured to create a ticket in your CRM, notify on-call staff via your webhook endpoint, or place the caller in a human agent queue, depending on your routing setup.
Setup Requirements
Provide example call transcripts and desired outcome labels so Brilo AI can map intents to “resolved” states.
Configure intent detection thresholds and confidence rules in the Brilo AI console to define when automated resolution is acceptable.
Supply your CRM or ticketing integration details so Brilo AI can detect whether post-call follow-ups were created.
Enable call transcription and outcome classification for the flows you want measured.
Define the reporting window and segmentation rules (by flow, intent, or caller type) for resolution-rate reporting.
Test with a pilot dataset and review labeled calls to tune outcome rules before broad reporting.
For operational guidance on data and measurement that supports resolution and satisfaction metrics, see Brilo AI’s CSAT and performance guidance: Brilo AI: How to Improve CSAT | Best Strategies & Action Plan with AI.
Business Outcomes
Tracking Brilo AI resolution rate helps teams:
reduce agent workload by identifying successful automated resolutions,
prioritize flows that need improvement where the resolution rate is low,
measure the operational impact of new intents or script changes,
correlate resolution improvements with CSAT and call deflection metrics for decision-making.
These are operational outcomes to inform staffing, quality, and roadmap decisions rather than guaranteed performance levels.
FAQs
How is resolution rate different from CSAT?
Resolution rate is an operational metric that measures whether an issue was closed in the call. CSAT measures customer satisfaction and may correlate with resolution but can move independently based on experience quality.
How does Brilo AI handle partial resolutions?
Interactions that resolve some but not all requested intents are typically marked unresolved or partial by Brilo AI’s outcome classification; you can configure rules to require all labeled intents be satisfied before counting a call as resolved.
Can Brilo AI report resolution rate by intent or customer segment?
Yes. Brilo AI can group resolution-rate calculations by intent, call flow, or customer segment so you can identify which automation paths perform best.
What if transcription errors affect resolution measurement?
Brilo AI excludes low-confidence transcripts or flags them for manual review; you can set transcription confidence thresholds to avoid counting bad transcriptions as resolved.
Does Brilo AI count self-service IVR actions as resolved?
When the configured flow completes the customer’s intent without human involvement and no follow-up ticket is created, Brilo AI can count the IVR or self-service interaction as resolved.
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