Yes — Brilo AI supports testing changes before publishing so teams can validate dialog edits, voice settings, and routing without impacting live callers. You can run test calls, create a Test Group to stage agents, or use a staging phone number to exercise flows and integrations in a controlled environment. Testing modes let you preview call transcripts, confidence scores, and handoff behavior so you can tune prompts, patience, and answer length before you deploy. Use test calls, previews, and staging to reduce surprises when updates go live.

How can I preview changes before publishing? — Use a Test Group or staging number to run live or simulated calls and review transcripts.

Can I run test calls without affecting production? — Yes. Configure an isolated Test Group or staging phone number to keep traffic out of production routing.

Is there a way to see how edits affect call transfers and transcripts? — Yes. Run targeted test calls and review transfer logs, confidence scores, and call transcripts.

Enterprise teams ask whether they can test changes before publishing because voice agent edits can affect customer experience, compliance, and downstream systems. In regulated sectors like healthcare and banking, a small prompt change can change whether a caller is routed, what sensitive data is requested, or whether a human agent is engaged. Buyers need predictable behavior for QA, legal review, and operations before making changes public.

Brilo AI lets you create and validate edits in a non-production context. Typical testing workflows include: create a draft agent or Test Group, point a staging phone number to the draft agent, place test calls, and review logs and transcripts. During tests Brilo AI records intent matches, confidence scores, and any actions taken (for example, transfers or webhook calls) so you can tune intent matchers, routing rules, and answer thresholds.

In Brilo AI, Test Group is a configured group of agents and phone numbers used to run controlled test calls separate from production routing.

In Brilo AI, Draft agent is an unpublished agent configuration that includes current prompts, voice settings, and routing rules for preview and test calls.

For details on how Brilo AI interprets caller intents and thresholds used during tests, see the Brilo AI article on how the AI understands the caller’s request: Brilo AI how the AI understands calls.

Testing in Brilo AI is designed to avoid accidental production impact: test calls are isolated from live routing, and draft agents are not used by production phone numbers unless explicitly mapped. Brilo AI enforces guardrails such as confidence thresholds that can trigger refusal behaviors or escalation to a human when the model’s confidence is low. Tests should not be used to assume compliance with legal or regulatory obligations without a separate legal review.

In Brilo AI, Confidence threshold is the configured score below which the agent will escalate or refuse an answer rather than respond with low-confidence content.

Always avoid sending real patient identifiers or regulated customer data into public test logs; mask or syntheticize sensitive data during tests. For information about preventing incorrect or fabricated answers during tests and production, see: Brilo AI preventing wrong or made-up answers.

Brilo AI supports explicit handoffs during testing so you can validate warm transfers, cold transfers, and webhook-based escalations. When configured, a test agent can perform an identical handoff sequence to production: it will preserve context, attach call transcripts and confidence scores to the transfer, and call your webhook endpoint or route to a test agent queue. During tests, confirm that human agents receive the expected context fields (transcript, intents, confidence) and that transfer timing and caller experience meet compliance and SLA needs.

For guidance on scale and load considerations during testing, review: Brilo AI performance and scaling guidance.

Testing changes before publishing reduces customer-impact risk, lowers the chance of compliance incidents, and shortens time-to-stable-release for voice agent updates. For operations teams, controlled testing improves first-contact resolution by allowing incremental tuning of intent matchers and routing. For legal and risk teams, test artifacts (recordings, transcripts, confidence logs) provide audit evidence of the agent’s behavior prior to deployment.

Do test calls count against production usage or billing?

Test calls are routed to your Test Group and should be billed or metered according to your account’s testing policy; check your contract or contact Support to understand how test traffic is treated on your plan.

Can I simulate low-confidence audio or ASR failures during tests?

Yes. Use scripted low-audio samples or deliberately noisy inputs to observe how Brilo AI handles ASR degradation and whether configured escalation rules trigger correctly.

Will test transcripts be stored the same way as production transcripts?

Test transcripts are captured by Brilo AI for debugging and tuning, but you should verify data retention and access policies with your Brilo AI admin to ensure test data handling aligns with your privacy controls.

Can I run automated regression tests against Brilo AI agents?

You can script repeated test calls and evaluate transcripts and confidence scores as part of a regression suite. Coordinate with your engineering team to use test endpoints and a staging CRM instance.