Brilo AI Reporting provides configurable dashboards, scheduled and on-demand reports, and raw interaction exports so operations and compliance teams can monitor voice agent performance, call outcomes, and conversation-level metrics. Reporting includes live call transcripts, speech analytics, sentiment scoring, and KPI-focused dashboards for throughput, containment, and escalation rates. Reports can be delivered on a schedule or pushed to your webhook endpoint for downstream analytics and can be filtered by campaign, queue, or time window. Brilo AI reporting is configurable for enterprise workflows and can integrate with your CRM or BI tools when enabled.

Enterprises ask about reporting because they need verifiable evidence of performance, quality, and compliance. Operations, compliance, and finance teams require consistent metrics to monitor AI voice agent containment, measure agent handoff rates, identify conversation trends, and satisfy audit requests. Reporting also supports coaching, dispute resolution, and strategic product decisions in regulated sectors like healthcare, banking, and insurance.

Brilo AI Reporting collects interaction-level data from every call handled by a Brilo AI voice agent and aggregates it into dashboards and exportable files. Typical data types include call metadata, live call transcripts, speech analytics results, sentiment scores, and routing outcomes. Reports can be generated on demand or scheduled, and Brilo AI can emit events to your webhook endpoint for real-time monitoring or push summary reports on a cadence.

In Brilo AI, reporting aggregates call-level events, transcripts, and derived analytics into dashboard views and exportable files. An interaction log is the sequence of events (call start, transcript segments, intent matches, handoff) that reporting uses to build analytics. A conversation score is a derived metric that combines intent resolution, sentiment trend, and call duration to flag calls for review.

Related technical terms include live transcription, speech analytics, sentiment analysis, dashboards, KPIs, and real-time monitoring.

Brilo AI Reporting is meant for monitoring and operational decision making, not for providing legal advice or standing in for audited financial records. Reporting is subject to the same data retention and access policies you configure for Brilo AI; sensitive data should be redacted at ingestion if required by your policies. Brilo AI will not automatically change routing or agent behavior based solely on report output unless you wire reports into an automated workflow.

In Brilo AI, automated reporting triggers are scheduled or event-driven actions that can notify teams but do not change customer-facing behavior unless you explicitly configure downstream automations.

Common boundaries:

Healthcare example

A medical call center uses Brilo AI Reporting to export live call transcripts and interaction logs for post-call review. Operations teams filter reports by symptoms intent to identify frequent triage issues and surface calls for clinician review while preserving data access controls required by the organization.

Banking / Financial services example

A retail bank uses Brilo AI Reporting to track containment rate (calls resolved by the Brilo AI voice agent without human handoff), average handle time, and escalation counts for dispute-related intents. The team schedules daily summary reports and pushes detailed interaction logs into their BI system for fraud analysis.

Insurance example

An insurance customer service program uses Brilo AI Reporting to monitor sentiment trends and claim handling KPIs. Claims operations receive weekly exports of transcripts tied to claim IDs so adjusters can prioritize high-risk interactions for manual review.

Brilo AI voice agent workflows can be configured to trigger a human handoff when reporting or runtime signals meet your escalation criteria. For example, when confidence scores fall below a threshold, when a caller requests an agent, or when a conversation score indicates high risk, the Brilo AI voice agent can:

Handoff events and escalation outcomes are captured in Brilo AI Reporting so you can audit when and why humans took over and correlate those events with downstream outcomes.

Brilo AI Reporting helps teams reduce manual quality-control workload by surfacing high-priority calls, improve containment by tracking where handoffs occur, and increase agent productivity by identifying recurring intents suitable for automation. For compliance-focused organizations, consistent exports of transcripts and interaction logs simplify audits and dispute resolution workflows.

These outcomes translate to clearer operational visibility and faster cycle times for process improvement.

How frequently can I run Brilo AI reports?

You can run reports on demand or schedule them at regular intervals (for example, hourly, daily, or weekly) depending on your operational needs and system configuration.

Can I export raw transcripts and call recordings from Brilo AI?

Yes — Brilo AI can export transcripts and associated metadata. Access to raw data depends on your configured retention and access controls; recording availability follows your telephony and consent settings.

Does Brilo AI provide sentiment and intent metrics out of the box?

Brilo AI includes speech analytics and sentiment scoring as part of its reporting capabilities. These derived metrics are intended for trend analysis and operational decision-making and should be validated against your internal standards.

Can I filter reports by campaign, queue, or time zone?

Yes — reporting can be filtered by campaign, queue, agent group, and time window to match how your teams operate.

How does Brilo AI protect sensitive data in reports?

Sensitive data protection depends on your data handling configuration. Brilo AI supports configurable retention and access controls; for regulated data you should enable redaction or limit export access according to your internal policies.