Direct Answer (TL;DR)
Yes. Brilo AI supports injecting custom logic into voice agent workflows through configurable integration points such as webhook calls, API triggers, and CRM sync events. Custom Logic can evaluate business rules, query external systems, or modify routing before the Brilo AI voice agent continues a conversation. Developers typically use a webhook endpoint or middleware service to run code, return structured responses, and control next-step routing in the Brilo AI workflow.
Can I run my own code during a Brilo AI call? — Yes. You can call your webhook or API to apply business logic and return instructions that Brilo AI will act on.
Can Brilo AI consult external systems mid-call? — Yes. Brilo AI can invoke external APIs or webhooks when Custom Logic is enabled to fetch customer data or eligibility checks.
Will custom code change how Brilo AI handles routing? — Yes. Responses from your webhook can change call routing, handoff, or next-step prompts in the Brilo AI workflow.
Why This Question Comes Up (problem context)
Enterprises ask about Custom Logic because phone conversations often require decisions based on internal systems: eligibility checks, fraud flags, account balances, or complex routing rules. Buyers need to know whether Brilo AI voice agent workflows can call out to developer services in real time and how that affects latency, reliability, and auditability. Security, compliance, and predictable failure modes are common concerns when introducing external code into a voice path.
How It Works (High-Level)
When enabled, Brilo AI can call a configured webhook or API during a call to run Custom Logic and receive structured instructions back. Typical flow: the Brilo AI voice agent captures intent and context, pauses or continues as configured, sends a request to the developer endpoint, and then follows the returned instructions (for example, update CRM, route to a specialist, or play a follow-up prompt).
In Brilo AI, a webhook endpoint is a URL Brilo AI calls with call context so external services can return routing or data.
In Brilo AI, a workflow action is a defined step (for example, “invoke webhook” or “transfer call”) that the voice agent can execute based on logic.
In Brilo AI, Custom Logic is a developer-provided routine that inspects the incoming call payload and returns structured decisions to influence the voice agent behavior.
Relevant setup articles and deep-dive guides for webhook and integration configuration are available in Brilo AI documentation for implementers.
Guardrails & Boundaries
Brilo AI enforces several practical boundaries for Custom Logic to preserve call quality and safety. Typical guardrails include request timeouts, structured response schemas that Brilo AI validates, and fallback routing when the webhook fails or returns invalid data. Brilo AI’s voice agent will not execute arbitrary binary blobs or unsafe payloads; it only accepts defined fields that map to routing, prompt text, or metadata updates.
In Brilo AI, a fallback route is the configured behavior the voice agent follows if Custom Logic fails or times out (for example, continue with default prompts or escalate to a human).
Do not rely on Custom Logic for core safety decisions unless you have tested the failure mode; Brilo AI should not be the sole safety control for regulated decisions without human oversight.
Applied Examples
Healthcare example: A Brilo AI voice agent receives an appointment cancellation request, calls a developer webhook to check patient records and eligibility, and then updates the scheduling system or routes to a nurse if a high-risk flag is returned. The developer endpoint returns structured routing and note text that Brilo AI writes back to the encounter record.
Banking / Financial Services example: A Brilo AI voice agent asks for account context, invokes Custom Logic to run balance and fraud checks in the bank’s system, and then either authorizes a payment, requires multi-factor validation, or routes to a fraud investigator based on the webhook response.
Insurance example: During a claims intake call, the Brilo AI voice agent calls Custom Logic to validate policy coverage using your claims API and then decides whether to capture full details or escalate to an underwriter.
Do not assume any specific compliance certification for these examples; confirm required regulatory controls with your Brilo AI representative and your legal/compliance teams.
Human Handoff & Escalation
Brilo AI voice agent workflows support conditional human handoff based on Custom Logic responses. Your webhook can return an instruction such as “handoff_to_agent” with metadata (customer ID, reason code). When Brilo AI receives that instruction, it can:
place the caller in queue and attach context to the ticket,
warm-transfer the call with a call summary delivered to the agent, or
create a callback request and return a confirmation prompt to the caller.
Design handoffs so the developer service returns clear escalation reasons and priority, enabling predictable routing and queue assignment in the Brilo AI workflow.
Setup Requirements
Provide a reachable webhook endpoint that accepts HTTPS POST requests and responds with the agreed JSON schema.
Configure authentication for the endpoint (for example, token header, IP allowlist, or mutual TLS) per your security policy.
Map the Brilo AI workflow step to invoke your webhook at the desired point in the conversation.
Define the expected response schema that instructs Brilo AI (routing action, prompt text, metadata updates).
Test failure modes by returning timeouts, error codes, and invalid payloads to verify Brilo AI fallbacks.
Monitor logs and metrics on both sides (Brilo AI call traces and your service logs) to diagnose issues and measure latency.
If you plan to write data back to a CRM, prepare your CRM field mapping and the API credentials for that system. Brilo AI will pass call context and any CRM identifiers you configure so your Custom Logic can correlate records.
Business Outcomes
When used correctly, Custom Logic in Brilo AI voice agent workflows enables:
more accurate routing and faster resolution by consulting authoritative backend systems in real time,
reduced unnecessary human transfers by encoding eligibility and triage logic in developer endpoints, and
cleaner records in your CRM because Brilo AI can accept structured return data to populate call notes automatically.
These outcomes depend on well-tested failure modes, controlled latency for webhooks, and clear monitoring of both Brilo AI and developer services.
FAQs
Can Custom Logic run during every call?
Yes. You can configure workflow triggers so Brilo AI invokes Custom Logic at specific steps or for specific intents. Consider rate and latency impacts when calling external systems frequently.
What happens if my webhook is slow or fails?
Brilo AI uses configured timeouts and will follow your fallback route if a webhook fails or returns invalid data. Test and configure fallbacks to ensure predictable caller experience.
Do I need developer resources to implement Custom Logic?
Yes. Implementing and securing webhook endpoints, defining schemas, and handling retries requires developer work. Brilo AI provides structured payloads so your team can build against a stable contract.
Can Custom Logic update my CRM automatically?
Yes. Brilo AI can pass structured data returned from your logic into CRM sync steps or via your middleware, provided you configure the appropriate mappings and credentials.
Is the data passed to Custom Logic encrypted in transit?
Brilo AI transmits webhook payloads over HTTPS. You should secure endpoints according to your enterprise standards (TLS, auth tokens, allowlists) and avoid transmitting unnecessary sensitive data.
Next Step
Contact your Brilo AI representative to discuss specific Custom Logic needs and recommended webhook schemas.
Provide a secure webhook endpoint and example payloads so your Brilo AI onboarding engineer can validate the workflow.
Schedule a technical onboarding session to test failure modes and handoff behavior with Brilo AI in a staging environment.
For implementation questions or to get started, open a ticket with your Brilo AI customer success contact or request a technical integration review through your Brilo AI account.