Direct Answer (TL;DR)
Yes. Brilo AI supports an overlay model where a Brilo AI voice agent can answer and manage calls while sitting on top of your existing phone infrastructure. When configured, Brilo AI routes selected numbers or call flows to the Brilo AI voice agent for automated handling, then returns calls to your PBX or an agent queue for live support when needed. The overlay model preserves your current telephony investments (SIP trunks, PBX routing, and call queues) while adding Brilo AI’s call routing, CRM integration, and webhook-based event updates.
Can Brilo AI sit on existing phone systems? — Yes. Brilo AI can be configured to accept calls from your phone system, handle them, and hand them back to your live agents when necessary.
Can I keep my PBX and SIP trunking with Brilo AI? — Yes. Brilo AI’s overlay model is designed to work alongside PBX and SIP trunks so you don’t need to rip and replace.
How does Brilo AI connect to my telephony? — Brilo AI connects via standard call routing methods (for example, inbound number forwarding or SIP call routing) and uses webhooks and CRM integrations to pass context.
Why This Question Comes Up (problem context)
Enterprises ask about the overlay model because replacing telephony is costly and disruptive. Banks, insurers, and healthcare organizations often have regulated telephony stacks, compliance controls, and complex call routing already in place. Buyers want to know whether they can get Brilo AI’s conversational routing, transcription, and automation benefits without a full migration of numbers, PBX, or SIP trunking. The overlay model enables incremental adoption and risk-managed rollouts.
How It Works (High-Level)
Under the overlay model, Brilo AI sits in front of or alongside your existing call paths for selected numbers or call types.
Typical behaviors:
Inbound calls either forward to Brilo AI or route through an intermediary trunk that delivers calls to the Brilo AI voice agent for initial handling.
Brilo AI conducts the automated interaction, performs lookups via your CRM or backend through API/webhook calls, and then either resolves the call or transfers it back to your live queue.
Call context (transcripts, intent tags, routing metadata) is returned to your systems so the receiving human agent has full context.
The overlay model is a deployment pattern where the Brilo AI voice agent handles defined inbound call routes without replacing the customer’s existing PBX or SIP infrastructure. Call routing policy is the set of rules that determine which incoming calls go to Brilo AI, which remain internal, and when calls are escalated to live agents. Human handoff is the workflow that securely transfers an active call and its interaction context from the Brilo AI voice agent to a live agent or queue.
Learn more about Brilo AI inbound call behaviors on the Brilo AI inbound call handling page: Brilo AI inbound call handling for financial institutions.
Guardrails & Boundaries
Brilo AI’s overlay model is designed with operational and safety boundaries in mind:
Only configured numbers and routing rules direct traffic to Brilo AI; other numbers continue as before.
Calls containing sensitive workflows (for example, certain authentication or claim adjudication paths) can be excluded from automation and routed directly to humans.
Brilo AI will not override your PBX routing or historical IVR logic unless you explicitly change routing policies.
Long-running authentication, payment capture, or legally sensitive advice should be set to require human presence or verified handoff.
An escalation threshold is a configured condition (such as intent confidence, caller sentiment, or elapsed time) that triggers transfer to a live agent and preserves the conversation context. For design patterns on safe learning and behavior limits, see Brilo AI’s self-learning agent overview: Brilo AI self-learning AI voice agents.
Applied Examples
Healthcare example: A patient calls a clinic number. The overlay model allows Brilo AI to answer appointment scheduling and intake questions, then forward the call and a summary to a nurse triage queue if the caller indicates certain symptoms. Sensitive triage or prescription discussions are routed back to clinicians by policy.
Banking example: A retail bank forwards general balance inquiries to Brilo AI. The agent supplies non-sensitive balance guidance using CRM context, but if the call includes a request to change account access or dispute a transaction, Brilo AI routes the call to a fraud specialist queue with the full interaction log.
Insurance example: Brilo AI handles inbound claims status requests, reads policy-friendly summaries based on CRM lookups, and escalates complex claim disputes to an adjuster while attaching the transcript and intent tags to the ticket.
Human Handoff & Escalation
Brilo AI supports multiple handoff patterns in the overlay model:
Warm transfer (preserve context): Brilo AI creates a handoff packet that includes transcript, intent, customer identity, and relevant CRM links, then places the call into your existing agent queue or dials an agent extension.
Cold transfer: Brilo AI bridges the call to a designated number without additional context (available if you prefer your internal systems to re-identify the caller).
Callback or voicemail fallback: If no agent is available, Brilo AI can schedule a callback or leave a structured voicemail and log the event in your CRM.
Handoffs use authenticated webhook calls and CRM syncs so your agents receive the interaction context. The overlay model preserves your existing queue and IVR targets so agents continue to use familiar tools.
Setup Requirements
Provide the list of phone numbers and call flows you want Brilo AI to handle.
Configure call forwarding or SIP routing at your carrier or PBX to direct selected inbound calls to Brilo AI’s ingestion endpoint.
Provide API credentials or webhook endpoints for CRM lookups and event posting (for contextual routing and call logs).
Share call routing rules and escalation criteria so Brilo AI can implement routing policies aligned with your operations.
Supply sample call scripts, FAQ content, or knowledge base entries to tune answer quality and reduce escalation.
Validate handoff destinations (agent queue IDs, extension numbers, or callback processes) in a staging environment.
For integration patterns and CRM connector guidance, review Brilo AI’s integration and customer support resources: Brilo AI best AI tools for customer service (integration summary).
Business Outcomes
Using the overlay model with Brilo AI lets organizations:
Reduce time to value by deploying automation without migrating telephony platforms.
Maintain regulatory and telephony controls while adding automated routing, transcription, and CRM-driven personalization.
Improve agent efficiency by delivering pre-populated context and reducing repeat questions during live handoffs.
Phase rollouts across business units (for example, pilot on a single number) to measure operational impact before scaling.
Outcomes will vary by scope, call volumes, and integration depth; plan for staged validation and monitoring.
FAQs
Will Brilo AI require me to move my phone numbers to a new provider?
No. Brilo AI’s overlay model is designed to work with your existing numbers. Common approaches include forwarding selected numbers to Brilo AI or routing via your SIP trunk so you can keep your current carrier.
Does Brilo AI record calls and where are transcripts stored?
Brilo AI can produce transcripts and metadata and deliver them to your configured storage or CRM via webhooks or connectors. Storage location, retention, and access controls are determined by your configuration and contractual terms.
How does Brilo AI handle authentication for banking or healthcare requests?
Sensitive identification flows should be configured in your routing policies. Brilo AI can be set to perform initial verification steps and then transfer to a human for final authorization, or to defer all sensitive workflows to a human by policy.
Can I pilot the overlay model on a single department or number?
Yes. The overlay model supports targeted pilots so you can evaluate performance on a subset of traffic before a wider rollout.
What happens if Brilo AI fails to understand a caller?
You can set escalation rules that transfer misunderstood calls to a live agent or trigger a fallback action such as requesting a callback. Confidence thresholds and retry logic are configurable.
Next Step
Review deployment patterns and inbound call scenarios on the Brilo AI inbound call handling resource: Brilo AI inbound call handling for financial institutions.
Explore integration and operational design guidance in Brilo AI’s conversational AI for financial services overview: Brilo AI conversational AI in financial services.
Schedule a technical walkthrough or pilot conversation with Brilo AI support to map your PBX/SIP routing and define escalation rules; see Brilo AI’s operational guidance for customer support: Brilo AI customer support resource.