Brilo AI can generate AI-Generated Test Cases for call flows to accelerate validation of voice agent behavior, simulate customer intents, and find regressions before deployment. Brilo AI produces structured test scripts from your call definitions and example interactions, and those scripts can be run as synthetic calls or exported for automated QA. Generated test cases cover happy paths, common alternatives, and edge conditions when your project includes representative call examples and intent labels. Test generation is configurable and intended to reduce manual test writing while keeping human review and validation in the loop.

Can Brilo AI produce test scripts for voice call flows? — Yes. Brilo AI can generate structured test cases from call flow definitions and sample calls; human review and configuration are required.

Will Brilo AI create edge-case and regression tests? — Brilo AI can propose edge-case and regression tests when given diverse call examples and configured failure conditions.

Can I export Brilo AI test cases to my QA system? — When configured, Brilo AI can output structured test cases (for synthetic call runners or your QA pipeline) using your webhook or export format.

Enterprise teams ask if Brilo AI can generate test cases because manual test creation for complex call flows is slow and error-prone. Buyers in healthcare, banking, insurance, and financial services need repeatable test suites for compliance reviews, regression checks, and vendor audits. They also want test artifacts that match live voice behavior—intents, prompts, slot capture, and handoff triggers—so operators can validate changes without risking live callers.

Brilo AI analyzes your call flow definitions and example interactions to produce AI-Generated Test Cases that map to intents, prompts, and expected outcomes. You supply representative recordings, intent labels, and success/failure criteria; Brilo AI then suggests a set of test scenarios, including variations in phrasing and common misrecognitions.

In Brilo AI, AI-Generated Test Cases are a generated set of structured test inputs and expected outputs that map to a configured call flow for automated or manual validation.

In Brilo AI, a synthetic call is an automated simulation of a real phone interaction used to exercise a voice agent end-to-end.

Brilo AI-generated test cases are starting points, not compliance attestations. They are safe to use for functional validation but should be reviewed by humans before relying on them for release decisions.

In Brilo AI, a failing threshold is the configured condition that marks a generated test case as failing (for example, missing slot capture or wrong handoff decision).

What Brilo AI will not do without explicit configuration:

Healthcare example: A provider contact center uses Brilo AI to generate test cases for appointment scheduling flows. Generated tests include success scenarios (patient books an appointment), alternative phrasing (patient asks for “next available morning slot”), and failure cases (missing patient ID). Clinical teams review the cases before synthetic runs to ensure privacy controls are respected.

Banking / Financial Services example: A retail bank uses Brilo AI to create regression tests for a balance inquiry flow. Test cases include authenticated and unauthenticated callers, incorrect account numbers, and escalation to a specialist. The bank runs synthetic calls to validate intent recognition and routing before deploying script changes.

Insurance example: An insurance claims line uses Brilo AI to generate test scenarios that check intent extraction for “file a claim,” slot capture for policy number, and the handoff path when the claim requires human review.

Brilo AI test cases include expected handoff points and can validate handoff triggers. When a generated test case reaches a handoff condition, Brilo AI marks the expected human routing (for example, “escalate to claims specialist”) and verifies the routing logic.

Typical handoff workflow behavior:

Do generated test cases require human review?

Yes. Generated test cases are intended as a starting point and should be reviewed and approved by your product, QA, or compliance teams before automated execution.

Can Brilo AI simulate failed ASR or low-confidence scenarios?

Brilo AI can propose test scenarios that include alternate phrasings and likely misrecognitions when those examples are present in your training set; you should explicitly define low-confidence thresholds for automated failure detection.

Will Brilo AI store my test data and recordings?

Brilo AI retains data according to your configured project settings and data retention policies. Confirm storage and retention behavior with your Brilo AI account representative or admin before uploading sensitive recordings.

Can test cases be exported to my CI/CD pipeline?

Brilo AI can export structured test case payloads for integration with external test runners or CI/CD systems when you configure a webhook or export format during setup.

Are generated tests good enough for regulatory audits?

Generated test cases are useful evidence of testing activity but are not a substitute for a formal audit package. Work with your compliance team to collect the artifacts they require.