Skip to main content

Can organizations use their own private API endpoints?

Y
Written by Yatheendra Brahmadevera
Updated over a week ago

Direct Answer (TL;DR)

Yes. Brilo AI supports using customer-hosted custom endpoints so organizations can send and receive call data, routing events, and CRM updates through their private API endpoints. Brilo AI can be configured to post call events to your webhook endpoint (custom endpoint) and accept synchronous responses for routing decisions, authentication permitting. Using a private API endpoint lets your security team control authentication, logging, and network egress while Brilo AI handles voice interactions and event orchestration.

Can we point Brilo AI at a private API endpoint? — Yes. Brilo AI can post events to your webhook endpoint and accept responses to continue a call flow, when configured and authenticated.

Does Brilo AI support private webhooks with token-based auth? — Yes. Brilo AI can be configured to use standard auth methods (for example, bearer tokens) and transport-layer security, subject to your integration requirements.

Will Brilo AI store my data if I use a private endpoint? — Brilo AI will send events to your endpoint; any retention by Brilo AI follows your contract and platform policies—ask your account team for details.

Why This Question Comes Up (problem context)

Enterprise buyers ask about private API endpoints because they need to keep sensitive call metadata and routing decisions inside their network and audit trails. Regulated organizations in healthcare, banking, and insurance want to control authentication, monitoring, and data residency for webhook traffic. Buyers also need to know whether Brilo AI can integrate with internal CRMs, decision engines, or middleware without exposing internal APIs publicly.

How It Works (High-Level)

When enabled, Brilo AI sends call events and routing requests to your custom endpoint (webhook) and can wait for HTTP responses to decide the next action in a call flow. Brilo AI voice agent capabilities include sending structured JSON payloads for events such as inbound call start, intent detection, and transfer requests, and reading webhook responses to apply routing or script changes in real time.

In Brilo AI, custom endpoint is an external HTTP(S) URL that Brilo AI calls to exchange call events, routing decisions, or CRM updates.

In Brilo AI, event payload is the structured JSON message Brilo AI sends to your endpoint that contains call context, detected intents, and metadata.

In Brilo AI, synchronous webhook response is the immediate HTTP response Brilo AI can use to alter call flow or routing without a human in the loop.

Typical technical behaviors you can expect:

  • Brilo AI issues POST requests to your endpoint for event notifications and routing decisions.

  • Brilo AI can include a callback identifier so your system can respond asynchronously if needed.

  • Brilo AI honors TLS for transport security; authentication is managed per the integration configuration.

Note: Specific payload schemas and timeouts are agreed during implementation.

Guardrails & Boundaries

Brilo AI enforces operational and safety boundaries around custom endpoints to protect call quality and security:

  • Brilo AI will require a stable HTTPS endpoint and will retry transient failures according to configured retry and timeout policies.

  • Brilo AI will apply rate limits to webhook traffic to protect your endpoint and to maintain platform stability.

  • Brilo AI will not bypass configured authentication. If your endpoint rejects requests, Brilo AI falls back to default routing or triggers a human handoff, depending on your workflow.

In Brilo AI, authentication policy is the configured method (for example, bearer token or mutual TLS) that must succeed before Brilo AI accepts responses from your endpoint.

Brilo AI should not be used to execute arbitrary code within your environment; the custom endpoint is a data integration surface for events and routing signals, not a remote execution channel.

Applied Examples

Healthcare example:

  • A clinic configures a private API endpoint to receive appointment-intent events from the Brilo AI voice agent. Your endpoint validates the caller’s patient reference, checks availability in your scheduling system, and returns a time-slot suggestion that Brilo AI reads back to the caller. All requests travel over HTTPS and are authenticated by your token.

Banking / Financial services example:

  • A bank routes payment-status and balance-inquiry intents to its internal decision engine via a private endpoint. Brilo AI sends the intent and masked account identifier; your endpoint responds with permitted actions (e.g., balance read allowed or escalate to fraud team). Brilo AI then follows the response to either present the balance or initiate a secure human handoff.

Note on regulation:

Brilo AI can integrate with private endpoints used by regulated industries, but you must confirm compliance controls (data handling, logging, retention) with your legal and security teams and with your Brilo AI agreement. Also consider relevant regulation such as GDPR where applicable.

Human Handoff & Escalation

Brilo AI voice agent call handling features can escalate to humans when the custom endpoint signals an escalation or when the platform detects a failed integration. Typical handoff flows:

  • Your endpoint replies with a routing instruction that requests a warm handoff to a named queue or user; Brilo AI then bridges the call to a human agent while preserving call context.

  • If the custom endpoint returns an error or times out, Brilo AI can follow a configured fallback route (for example, queue to live agent or play a message and schedule a callback).

Brilo AI logs the handoff reason and any relevant metadata to support audit trails and post-call review.

Setup Requirements

  1. Provide a stable HTTPS endpoint URL that Brilo AI can reach from our integration IP ranges or via your public-facing network.

  2. Configure authentication by supplying credentials or keys (for example, bearer token, HMAC signature, or mutual TLS) and specify the expected header or verification method.

  3. Define the expected JSON payloads and response schema, including routing fields and response time expectations.

  4. Test connectivity and success/failure cases using Brilo AI’s staging environment or test hooks.

  5. Validate retry, timeout, and rate limit behaviors with your network and security teams.

  6. Configure fallback routing in Brilo AI for endpoint timeouts, 4xx/5xx failures, or authentication failures.

  7. Monitor logs and alerts during the initial rollout and tune the integration as needed.

Technical note: Brilo AI expects a webhook-style endpoint and standard HTTP methods (POST/GET) for event exchange. Depending on your environment, you may need to expose a proxy or use a secure middleware to accept Brilo AI requests.

Business Outcomes

Using Brilo AI with private API endpoints lets organizations:

  • Keep decisioning logic and sensitive data within internal systems while outsourcing voice interaction handling to Brilo AI.

  • Improve routing accuracy by returning contextual routing decisions from your own decision engine.

  • Reduce live agent volume by automating standard decisions while ensuring controlled escalation for exceptions.

These outcomes depend on solid endpoint availability, appropriate authentication, and agreed payload contracts.

FAQs

Do I need to expose my internal network to Brilo AI?

You only need a reachable HTTPS endpoint. Many customers use a DMZ-hosted endpoint, API gateway, or secure proxy so internal systems remain protected while allowing Brilo AI to post events.

What authentication methods does Brilo AI support for custom endpoints?

Brilo AI supports common web authentication patterns such as bearer tokens and signed requests; specific options (e.g., mutual TLS) are configured during implementation. Confirm the exact method with your Brilo AI implementation lead.

What happens if my endpoint is slow or returns errors?

Brilo AI follows configured timeout and retry policies. If your endpoint repeatedly fails or times out, Brilo AI can follow a fallback route such as queuing the caller for a human agent or using a default scripted response.

Can I send personally identifiable information (PII) to my endpoint?

Yes, but you must ensure your endpoint and internal processes meet applicable legal, regulatory, and contractual obligations (for example, data minimization and transport security). Consult your compliance team and your Brilo AI account representative for guidance.

Will Brilo AI validate webhook request origin?

Brilo AI can include signatures or headers to help you validate requests; validation details are agreed during setup to prevent replay or spoofing attacks.

Next Step

  • Contact your Brilo AI implementation manager or support to request a custom endpoint integration and to review payload schemas and authentication options.

  • Prepare your webhook endpoint and security requirements (authentication method, expected payloads, and fallback routing) and schedule a test session with Brilo AI.

  • Request an implementation checklist and staging access from Brilo AI to validate connectivity and failure modes before going live.

Did this answer your question?