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Are API endpoints customizable per workflow?

Y
Written by Yatheendra Brahmadevera
Updated over a week ago

Direct Answer (TL;DR)

Yes — Brilo AI can be configured so that API endpoints are customizable per workflow. Brilo AI supports mapping different HTTP endpoints, authentication credentials, and payload mappings to individual workflows so calls and backend events route to the right system. When enabled, each workflow can use its own webhook or REST endpoint, request headers, and field transforms while Brilo AI enforces routing rules and quality checks. This lets teams separate environments, business lines, or use-case-specific integrations without changing global settings.

  • Are API endpoints different for each workflow? — Yes. Brilo AI can assign separate endpoints, headers, and payload mappings per workflow when configured.

  • Can I use unique authentication per workflow? — Yes. Brilo AI supports per-workflow authentication tokens or credentials so each workflow can authenticate independently.

  • Can endpoints be switched for testing vs. production? — Yes. Workflows can be pointed to environment-specific endpoints (for example test vs. prod) during setup.

Why This Question Comes Up (problem context)

Enterprises ask whether API endpoints are customizable per workflow because they run multiple business lines or regulated systems that must stay separated. In healthcare or insurance, teams often need one workflow that posts appointment updates to a protected EHR endpoint and another that posts non-clinical summaries to a different analytics endpoint. Banking and financial services organizations likewise need endpoints separated by product or environment for auditability and least-privilege access. Buyers want to know whether Brilo AI supports this separation in practice, and what configuration and controls are required.

How It Works (High-Level)

When configured, Brilo AI treats API endpoints as a per-workflow routing target rather than a single global destination. A typical Brilo AI workflow includes a trigger (call event or intent), an optional transformation layer (payload mapping), and an outbound delivery step to an endpoint (webhook or REST API). Brilo AI can be set to:

  • attach workflow-specific headers and authentication,

  • transform the call transcript or structured data into a target payload,

  • call the configured endpoint when the workflow reaches a deliverable step or trigger.

In Brilo AI, an API endpoint is the HTTP address where a workflow sends data. A workflow is the configured sequence of actions (voice handling, intent routing, transforms, and outbound calls) that executes for a given call. A webhook is the mechanism a workflow uses to POST structured data to an external system.

For platform context on how Brilo AI structures capabilities and integrations, see the Brilo AI conversational platform overview: Brilo AI conversational platform and capabilities.

Guardrails & Boundaries

Brilo AI enforces guardrails to prevent accidental data exposure, infinite retries, or misrouted requests. Typical guardrails that apply when endpoints are customized per workflow include:

  • authentication enforcement: per-workflow credentials are required for protected endpoints,

  • rate and retry controls: workflows respect configured retry limits and backoff to avoid downstream overload,

  • data minimization: fields sent in a workflow payload should be scoped to the minimum required by that workflow.

Endpoint routing rules determine which workflow sends to which destination; these rules should never bypass identity or consent checks. For guidance on designing workflows and when to prefer human review, see Brilo AI’s discussion of automated vs. human calling workflows and quality considerations: Brilo AI AI vs. human calling agents and workflow guidance.

Do not use per-workflow endpoints to bypass regulatory controls (for example, sending protected health information without the proper safeguards). Instead, use environment-specific endpoints and scoped credentials.

Applied Examples

  • Healthcare: A Brilo AI appointment-reminder workflow posts scheduling confirmations to an EHR endpoint with scoped credentials and minimal patient identifiers. A separate follow-up survey workflow posts anonymized satisfaction metrics to an analytics endpoint. Payload mapping strips clinical details when not needed.

  • Banking / Financial Services: A deposits verification workflow calls a secured transaction-validation endpoint with signed headers, while a marketing opt-in workflow posts only consent flags to a CRM endpoint. Per-workflow authentication prevents the marketing workflow from accessing transaction-level APIs.

  • Insurance: A claims-intake workflow sends claim metadata to core claims systems through a dedicated Sapiens integration endpoint, while a billing-reminder workflow calls a payments endpoint. Brilo AI logs and routes each workflow separately for traceability.

Note: Brilo AI integration pages show examples of routing to system endpoints and tying voice interactions into downstream workflows, such as Zendesk and core insurance systems: Brilo AI Zendesk integration and workflow triggers and Brilo AI Sapiens integration for insurance core workflows.

Human Handoff & Escalation

Brilo AI workflow endpoint customization does not prevent human handoffs. A workflow can:

  • call a human handoff step when confidence is low or when an endpoint returns an error,

  • attach the last successful payload and call context to the human agent screen or ticket,

  • switch to an alternate endpoint configured for escalation (for example, an internal review queue).

Handoff sequences are defined at the workflow level so that the handoff destination, payload, and escalation conditions remain consistent with the per-workflow endpoint configuration.

Setup Requirements

  1. Define the endpoint: Provide the full HTTP(S) URL for each workflow’s destination endpoint.

  2. Provide credentials: Supply per-workflow authentication (API key, bearer token, or other credential material) and any required header formats.

  3. Map the payload: Specify field mappings or a small JSON template that the workflow should emit.

  4. Configure retry and rate rules: Set retry behavior, timeouts, and backoff policies for each workflow.

  5. Test in staging: Point the workflow to a test or sandbox endpoint and validate headers, authentication, and payload shape.

  6. Promote to production: Update the workflow’s endpoint to the production URL and rotate credentials as needed.

  7. Monitor logs: Enable delivery logs and alerts so failed requests, 4xx/5xx responses, or rate-limit hits trigger review.

For implementation examples and integration patterns with downstream systems, consult Brilo AI’s integration guides such as the Zendesk and Sapiens integration pages: Brilo AI Zendesk integration and workflow triggers and Brilo AI Sapiens integration for insurance core workflows.

Business Outcomes

Customizable endpoints per workflow let operations teams reduce risk by isolating systems and credentials, improve auditability by segregating traffic by business line, and simplify testing by pointing workflows at staging endpoints. In regulated sectors like healthcare and finance, this separation supports least-privilege access, clearer logging for audits, and cleaner incident isolation without requiring separate Brilo AI tenants.

FAQs

Can I use different authentication methods for different workflows?

Yes. You can configure distinct authentication headers or tokens per workflow so each workflow authenticates independently to its destination.

Will endpoint failures stop the entire call flow?

Not necessarily. You control retry, timeout, and fallback actions per workflow. Brilo AI workflows can escalate to a human or to an alternate endpoint on persistent failures.

Can I transform Brilo AI payloads before sending to the endpoint?

Yes. Brilo AI supports payload mapping and simple transforms so workflows can send only the fields required by the target endpoint.

Do workflows share logs when using different endpoints?

Brilo AI keeps delivery and event logs tied to the workflow instance. You can query logs per workflow to review calls, responses, and delivery status.

Is it possible to route the same workflow to multiple endpoints?

When needed, a workflow can include multiple delivery steps or conditional routing to call different endpoints based on business rules, subject to configured guardrails.

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