Brilo AI supports real-time Override Control so administrators can step in and change an active AI voice agent’s behavior during a live call. Override Control lets admins force a handoff, adjust routing, or pause autonomous responses when a call needs human attention or different instructions. You configure override triggers and permissions in the Brilo AI console so the platform enforces role-based access and preserves call context during the takeover. Override Control works with Brilo AI handoff flows, call transfer rules, and confidence scoring to avoid surprises.

Enterprises ask about Override Control because live calls sometimes require immediate human judgment—especially in healthcare, banking, and insurance. Buyers need clarity on whether Brilo AI lets an operator prevent incorrect advice, stop sensitive data disclosure, or route a caller to a specialist immediately. Regulators and compliance teams also require predictable behavior and auditable actions when human staff override automated responses.

When enabled, Brilo AI’s Override Control creates an admin pathway that interrupts or augments the active AI voice agent workflow. Typical behaviors include pausing the voice agent, initiating a warm transfer (a human handoff that includes context), injecting an updated script, or forcing fallback routing to a specific queue or phone number. Admin actions are captured in the session metadata so the receiving human sees intent, recent transcript snippets, and the override reason.

Override Control is the administrator-initiated ability to modify an active agent’s behavior, including handoff, routing, and temporary instruction changes. Brilo AI extracts intent and confidence scores before transfer to inform routing and the receiving agent.

For details on how Brilo AI extracts intent and confidence before transfer, see the Brilo AI article on how the AI understands callers: How Brilo AI understands caller intent and matches routing.

Related technical terms: human handoff, warm transfer, confidence score, call transfer rules, fallback routing.

Brilo AI enforces guardrails so overrides are safe, auditable, and contained. Typical guardrails include role-based permissions, rate limits on overrides, and automatic fallbacks if an override fails. Brilo AI will not allow an override that would bypass configured data-handling policies or create routing loops. Administrators cannot use Override Control to change historical transcripts or remove recorded audit trails; all override actions are logged.

A confidence threshold is the configured cutoff the system uses to suggest a handoff or to allow/disallow autonomous replies. Human handoff triggers are the configured conditions (low confidence, keywords, or explicit caller request) that escalate a call to a person.

For example failover and system-down guardrails, see Brilo AI’s guidance on failover behavior and safe transfer limits: What happens if the system goes down? | Brilo AI help.

Related operational terms used above: transcript, intent, escalation, routing.

When an administrator overrides behavior, Brilo AI passes full session context—intent, recent transcript snippets, confidence scores, and override reason—to the human recipient. Handoffs can be warm transfers (context preserved) or cold transfers (direct routing), depending on telephony configuration and the chosen override action. Brilo AI also supports fallback behaviors: if the receiving human is unavailable, the override can route to an alternate queue, leave a structured voicemail, or trigger a callback workflow.

Override Control commonly integrates with existing handoff settings such as call transfer rules and escalation thresholds so the operator workflow follows the organization’s routing priorities and availability rules.

Related setup topics: call transfer rules, warm transfer summaries, transcript forwarding.

Using Brilo AI Override Control reduces caller friction by letting knowledgeable staff intervene quickly, improving risk control when sensitive topics appear, and preserving customer trust during edge cases. Administrators gain a predictable, auditable way to stop or reroute an AI agent that approaches policy or clarity limits. These outcomes support better compliance posture, faster resolution for complex calls, and less repetitive work for human agents who receive richer context at handoff.

Can any user override a Brilo AI call in real time?

No. Only users with the configured administrator or supervisor role can use Override Control. Permissions are set in the Brilo AI console to ensure role-based access and auditability.

Will an override change the AI’s training data or past responses?

No. Overrides affect the active session only and are recorded in the session log. They do not alter saved agent prompts or historical transcripts beyond the recorded audit trail.

What happens if an override transfer fails (no human answers)?

If a transfer fails, Brilo AI follows the agent’s configured fallback rules: retry, route to an alternate queue, leave a structured voicemail, or schedule a callback. These behaviors are set in Actions > Call transfer rules and tested during deployment.

Can overrides be used to stop the AI from asking for sensitive data?

Yes. Administrators can pause data collection or reroute the call to a human when sensitive information appears. Make sure your data-handling settings and transcription policies are configured to meet your compliance needs.

Is the override action logged for audits?

Yes. All override actions, including who performed them and why, are recorded in the session metadata for review.

If you need help mapping Override Control to your compliance or escalation processes, open a support ticket or schedule a configuration session with your Brilo AI account team.