Direct Answer (TL;DR)
Brilo AI Logging Controls let teams decide what the Brilo AI voice agent records and stores for review. By default, Brilo AI creates a structured conversation record and a readable transcript for most calls so supervisors and downstream systems can review interactions; audio recording, export, and CRM sync are controlled separately and can be enabled or disabled per workflow. Sensitive data and system-only prompts can be excluded or masked when logging rules or consent flags are applied. Use Logging Controls to balance compliance, privacy, and quality review needs across transcripts, call recordings, metadata, audit trails, and retention policies.
Are Brilo AI responses always saved for auditing? — Brilo AI creates transcript and conversation records by default, while audio recordings and some ephemeral system responses are controlled by Logging Controls and consent configuration.
Do you log every spoken reply from the Brilo AI voice agent? — Brilo AI logs agent replies in the conversation record or transcript by default; you can configure logging depth, redaction, and retention to exclude or mask sensitive replies.
Can I turn off recording or transcription for a call? — Yes. When configured, Brilo AI Logging Controls can disable audio capture or transcription for specific routes, consent states, or workflows.
Why This Question Comes Up (problem context)
Enterprise teams ask this because logging affects compliance, privacy, and auditability. In healthcare and financial services, buyers must know whether agent replies, raw audio, and transcripts are retained, how long they are kept, and who can access them. Buyers also need clarity about integration behavior — for example whether transcripts automatically sync to a CRM record, or whether sensitive fields are redacted before storage or export.
How It Works (High-Level)
Brilo AI Logging Controls operate at the workflow level. When you configure a Brilo AI voice agent, you choose which artifacts are produced and where they go: readable transcript, structured conversation log, audio recording, metadata (call duration, agent version, sentiment), and downstream sync (CRM, webhook). Logging is applied per flow so inbound support lines, outbound outreach, and specific intents can follow different retention and redaction rules.
A transcript is the machine-generated text record of an interaction used for search, review, and analytics. A conversation log is the structured record that includes turns, speaker labels, timestamps, and metadata used for auditing and CRM sync.
Logging Controls often integrate with consent flags and routing rules so you can prevent logging until consent is captured. Brilo AI also supports creating an audit trail that records who accessed a transcript and when, which helps meet enterprise review processes.
Guardrails & Boundaries
Brilo AI Logging Controls are designed to limit risk and avoid inappropriate use of stored data. By default and by policy you should:
Avoid storing unnecessary sensitive data; configure redaction or exclusion for fields that contain personal health information or financial account numbers.
Prevent automatic export to third-party systems until consent is recorded or compliance checks pass.
Limit retention windows to what your policy allows and rotate access keys for stored artifacts.
In Brilo AI, a consent flag is a workflow attribute that prevents transcript creation, audio capture, or CRM sync until the caller has provided recorded consent. Do not use Brilo AI logs as a substitute for formal legal evidence without following your organization’s compliance procedures and legal review.
Applied Examples
Healthcare example: A Brilo AI voice agent on a patient scheduling line creates a transcript and a conversation log after the patient consents. The workflow masks or excludes the patient’s full social security number and routes the structured appointment details to the scheduling system, while sensitive notes are held in a restricted storage bucket until a clinician reviews them.
Banking example: A Brilo AI outbound verification flow logs the transcript and sentiment metadata but disables automatic CRM sync for accounts where the consent flag is not present. Account numbers are redacted from the stored transcript and the event is marked in the audit trail for compliance review.
Insurance example: During claims triage, Brilo AI stores a searchable transcript and structured claim fields; the Logging Controls enforce shorter retention for claim narratives that contain PII and trigger a supervisor alert if a regulatory keyword is detected.
Human Handoff & Escalation
Brilo AI voice agent workflows can hand off to a human agent or another workflow when logging rules indicate review is needed or when a caller requests human assistance. A typical pattern:
The Brilo AI voice agent logs the conversation turn and flags an escalation reason in the conversation metadata.
The workflow routes the call or creates a warm transfer ticket and includes the transcript snippet and required metadata for the human agent.
Access controls determine whether the human receives the full transcript, redacted version, or a summary, based on the Logging Controls and consent status.
Handoffs preserve the audit trail so supervisors can trace when and why a human stepped in.
Setup Requirements
Define logging policy: Decide which artifacts you need (transcript, audio, metadata, CRM sync) and retention windows.
Configure consent flows: Implement consent prompts and map consent flags to Logging Controls so logging only occurs when permitted.
Map integrations: Connect your CRM or webhook endpoint and choose which conversation fields to sync.
Set redaction rules: Specify patterns or fields to mask (for example, numeric sequences or PII fields) before storage or export.
Assign access roles: Grant read/write access to transcripts and recordings only to authorized roles.
Test workflows: Run test calls to verify transcripts, redaction, retention, and handoff behavior before going live.
Business Outcomes
Using Brilo AI Logging Controls helps reduce compliance risk, improves quality assurance, and streamlines audit processes. Teams can focus reviews on flagged conversations, lower the exposure of sensitive data through targeted redaction, and keep CRM records accurate by syncing only the fields required for business processes. Logging Controls also enable searchable transcripts that speed training, dispute resolution, and supervisory coaching.
FAQs
Are every agent reply and system prompt included in the transcript?
By default, Brilo AI includes agent replies in the transcript and records turn-level metadata. You can configure the Logging Controls to exclude or mask system prompts and ephemeral internal messages.
Can I disable audio recording but keep transcripts?
Yes. Brilo AI lets you control audio capture separately from transcription so you can store text records without preserving raw audio when required by policy.
How long are transcripts and recordings kept?
Retention is configurable per workflow. Define retention windows in your Logging Controls to meet your organization’s data governance requirements and delete or archive records automatically.
Can transcripts be sent automatically to my CRM?
Transcripts and selected conversation fields can be synced to your CRM or sent via webhook, but sync behavior is controlled by Logging Controls and requires mapping during setup.
What happens if a caller withdraws consent after a call?
When a consent flag is removed, Brilo AI can be configured to stop further use of the record and to initiate deletion or restricted access according to your retention and compliance policy. Implement the specific deletion workflow during setup.
Next Step
Contact your Brilo AI account team to review Logging Controls for your account and request a configuration review.
Define a logging policy and consent flow with your compliance manager and then implement it in your Brilo AI workflows.
Run a pilot with test calls to validate transcript content, redaction rules, and CRM/webhook sync before full rollout.