Brilo AI supports calling external systems during live conversations through its Real Time API capability so the Brilo AI voice agent can fetch or push data, validate identity, or enrich session context while a caller is on the line. Real Time API calls are typically implemented as short HTTP requests (webhook-style JSON payloads) that return structured data used immediately by the agent’s dialog logic. Brilo AI can be configured for synchronous calls that the agent waits on or for asynchronous callbacks that update the session later, depending on latency tolerance and business rules. This enables use cases like live balance checks, eligibility lookups, and appointment confirmation without transferring the caller.

Can Brilo AI make API calls during a call? Yes — Brilo AI can call external APIs in real time and use the response to drive the conversation or routing.

Can Brilo AI call my webhook while the voice agent is talking? Yes — Brilo AI can send webhook-style requests during a session; your webhook can reply synchronously or trigger an asynchronous update.

Can Brilo AI fetch live data during verification? Yes — the Real Time API can retrieve identity or account data during verification steps when configured.

Enterprise buyers ask about Real Time API calls because phone conversations often require up-to-date data: account balances, claims status, prior authorizations, or clinician availability. Organizations need to know if a Brilo AI voice agent can access that data without a manual handoff, what the runtime behavior looks like, and how to maintain security and auditability. The question also reflects concerns about latency, customer experience, and integration complexity with CRMs, core banking systems, or clinical scheduling platforms.

When enabled, Brilo AI’s Real Time API feature lets the Brilo AI voice agent send a request to an external endpoint during a live session and consume the response as structured data (JSON) to influence dialog state, slot filling, or routing decisions. Typical behaviors include synchronous API calls where the agent waits for a response before continuing, and asynchronous patterns where the agent proceeds and applies the response when it arrives. Brilo AI maps portion(s) of the conversation into request fields (for example, account number or patient ID), and maps response fields into session context variables that the agent can reference immediately.

In Brilo AI, Real Time API is the runtime mechanism that sends and receives external HTTP requests during a live voice session.

In Brilo AI, session context is the set of variables (user attributes, recent intents, API responses) that the voice agent uses to maintain state across a call.

Brilo AI enforces practical guardrails to protect call quality and system safety. Typical guardrails include request timeouts so the agent won’t wait indefinitely, rate limits to protect downstream systems, and schema validation to avoid unexpected data shapes. Brilo AI will not make Real Time API calls unless the administrator enables the endpoint and maps required fields; the voice agent will fall back to scripted prompts or a human handoff if the call fails or returns an error. Administrators should limit sensitive responses in spoken prompts and prefer tokenized or masked data for voice output.

In Brilo AI, a failed Real Time API call is a defined condition where the configured timeout, HTTP error, or validation mismatch causes the agent to follow a fallback path (retry, safe response, or human escalation).

Brilo AI voice agent workflows can escalate to a human or transfer the session when API results indicate uncertainty, high value, or potential compliance risk. Typical handoff triggers include API errors, validation failures, high-value transactions, or caller requests for a human. When configured, Brilo AI can: place the caller in a warm transfer queue, create a ticket in your CRM, or flag the session for agent review with the API response and conversation transcript attached. Handoff workflows retain session context so the receiving human has the API response and recent dialog available.

Using Brilo AI’s Real Time API can reduce unnecessary human transfers, speed resolution for routine queries, and improve caller experience with current data. Enterprises can automate verification steps and decisions that previously required manual lookup, freeing specialists for complex work. The feature supports secure, auditable integrations that let regulated organizations maintain control over when and how data is exposed in voice interactions.

Can the Brilo AI voice agent handle slow APIs?

You can configure a timeout and fallback behavior in Brilo AI so the agent either provides a soft response (for example, “I’m checking that now; I may need to transfer you”) or triggers an asynchronous update when the API responds later.

Is the Real Time API synchronous only?

No. Brilo AI supports synchronous calls where the agent waits for the response and asynchronous patterns where the agent continues the flow and applies the API result when it arrives via callback.

What data formats does Brilo AI expect?

Brilo AI uses structured JSON for request and response payloads. You should provide a clear schema and ensure the voice agent’s mapping matches the keys used in those payloads.

How do I prevent exposing sensitive data in voice output?

Configure response mappings to mask or redact sensitive fields before the agent speaks them. Also use minimal data in spoken prompts and surface detailed data only on secure channels or to a human agent.

Does Brilo AI cache API responses during a call?

Brilo AI can persist API responses in session context for the duration of the call; longer-term caching policies should be implemented at your endpoint or via your integration design.