Direct Answer (TL;DR)
Brilo AI supports asynchronous API call patterns through configurable webhooks and background request handling so the Brilo AI voice agent can initiate a request, continue the call flow, and receive a later callback or webhook when external processing completes. This enables non-blocking behavior for tasks like credit checks, eligibility lookups, or long-running third-party workflows when configured. Asynchronous behavior is implemented via webhook callbacks, polling, or background job notifications depending on your integration design. Contact Brilo AI support to confirm the exact webhook and callback options available for your account.
Can Brilo AI make async API calls? — Yes. Brilo AI can initiate a request and continue the call while waiting for a later webhook callback or polling result.
Does Brilo AI support webhook callbacks? — Yes. Brilo AI can consume webhook callbacks to resume or update a call flow after external processing completes.
Can Brilo AI poll an API instead of waiting for a callback? — Sometimes. Brilo AI can be configured to poll a webhook or use a background job pattern when callbacks are not available.
Why This Question Comes Up (problem context)
Enterprises ask about asynchronous API calls because many core systems (credit decision engines, claims processors, identity verification) do not return instant results. Buyers need to know whether Brilo AI voice agent workflows can avoid blocking the caller while a slow external system completes. For regulated sectors like healthcare and banking, teams must design workflows that preserve caller experience, protect sensitive data, and support clear escalation when an external system fails to respond.
How It Works (High-Level)
When configured, the Brilo AI voice agent can send an outbound HTTP request (POST or GET) to your webhook endpoint and then continue the conversational flow without waiting synchronously for the external response. Later, when your backend finishes processing, it can call a Brilo AI callback endpoint to deliver results; Brilo AI then updates the active call or the caller’s context and takes the next action you defined (for example, play a result, ask a confirmation question, or route to an agent). Asynchronous API calls are handled as decoupled request/response patterns so the call experience is non-blocking. A webhook callback is an HTTP POST from your system that returns processed results and a correlation ID so Brilo AI can resume the right call context.
Guardrails & Boundaries
Brilo AI voice agent should not rely on indefinite waits for external responses. Configure reasonable timeouts, fallback prompts, and escalation paths so callers are not left hanging.
Use a correlation ID as a unique value included in every outbound async request so the callback attaches results to the correct call session.
Do not send or request highly sensitive content over unsecured endpoints; ensure your webhook endpoints use TLS and follow your organization’s data handling policies.
When external systems return errors, configure Brilo AI to retry according to your policy or to escalate to a human depending on the error class and business rules.
Applied Examples
Healthcare: A Brilo AI voice agent initiates an asynchronous eligibility check for a patient’s procedure. The agent collects basic patient details and confirms intent, then continues to triage general questions while the payer system completes eligibility verification and later posts results back to Brilo AI for final confirmation.
Banking: A Brilo AI voice agent requests a risk-scoring decision for a high-value transaction and continues to gather caller authentication. When the scoring service returns via webhook callback, Brilo AI either approves the transaction flow or routes the caller to a fraud specialist based on the score.
Insurance: A Brilo AI voice agent uploads claim metadata to a claims processing pipeline and resumes the call. After an async fraud analysis completes, the callback provides the decision and Brilo AI either schedules an adjuster or initiates human escalation.
Human Handoff & Escalation
Brilo AI voice agent workflows can be configured to hand off to a live agent or a separate workflow when an async request times out, returns a critical error, or requires human review.
Immediate handoff when the external system returns an error code classified as “requires human review.”
Conditional handoff after a configurable retry count or timeout period.
Passive handoff where Brilo AI places a follow-up task in your CRM and notifies an agent while leaving the caller in a brief hold state with status updates.
Design your handoff logic to include the async correlation ID and any partial data collected so the human agent has full context when they pick up the call.
Setup Requirements
Provide your webhook endpoint URL that accepts POST (and optionally GET) with TLS.
Provide a callback endpoint or confirm Brilo AI’s callback URL for your system to POST results to, including a secure authentication method (for example, an HMAC header or bearer token).
Supply a correlation ID scheme so outbound requests include an identifier that your system returns with the callback.
Define timeout, retry, and error-classification rules so Brilo AI knows when to retry, prompt the caller, or escalate.
Provide sample payload schemas and expected response fields so Brilo AI can map callback data to call variables and prompts.
Provide access credentials for any CRM or backend system Brilo AI must update when async results arrive (for example, CRM or webhook credentials).
Validate end-to-end with a staging environment and test cases that cover success, failure, and timeout scenarios.
Business Outcomes
Using asynchronous API calls with the Brilo AI voice agent reduces caller wait time for slow third-party processes, preserves agent bandwidth by resolving standard cases automatically, and improves caller satisfaction by providing timely updates and clear escalation paths. For regulated sectors, async patterns let you isolate long-running backend work from the live caller experience while maintaining traceability through correlation IDs and CRM logging.
FAQs
Can Brilo AI wait on long-running API calls during a live call?
Brilo AI can avoid blocking the call by using asynchronous webhooks or background polling; you should configure reasonable wait limits and fallback prompts so the caller experience is predictable.
How does Brilo AI match a webhook callback to the right live call?
Brilo AI uses a correlation ID you include in the outbound request; when your system returns the correlation ID in the callback, Brilo AI attaches the results to the matching call session or stored conversation context.
What happens if the callback never arrives?
You should define timeout and retry rules. Brilo AI can prompt the caller with a status update, place the caller in a fallback flow, schedule a follow-up, or escalate to a human according to your configured policy.
Can Brilo AI store callback results for later follow-up instead of resuming a live call?
Yes. Brilo AI can persist callback results to your CRM or a task queue so agents or other workflows can act on the outcome outside the active call.
Is webhook communication secure with Brilo AI?
Brilo AI requires TLS for webhook endpoints and supports authenticated callbacks; confirm the exact auth methods with Brilo AI support during setup.
Next Step
Contact Brilo AI support to confirm available webhook and callback options and to request account-specific guidance ([email protected]).
Prepare a sample webhook payload and correlation ID plan and run end-to-end tests in a staging environment.
Book a Brilo AI integration review or demo to review your async use cases and timeout/hand-off policies with a Brilo AI engineer.