Direct Answer (TL;DR)
Brilo AI pilots are short, controlled deployments you run to validate an AI voice agent in real customer workflows. To start a Brilo AI pilot, define the use case and success criteria, configure a single Brilo AI voice agent with a focused script and routing, connect one of your systems (for example your CRM or webhook), and run calls for a fixed period while monitoring intent recognition, call routing, and call summaries. Pilots typically include staff oversight and a plan for human handoffs and escalation to ensure safety and quality. After the pilot you analyze speech analytics and tweak scripts before broader rollout.
How can I run a pilot with Brilo AI? — Use a focused use case, configure one voice agent, connect a test CRM or webhook, monitor, and iterate.
What’s the quickest way to start a Brilo AI pilot? — Choose a single inbound call goal, deploy one agent, and run live traffic with human oversight for a set period.
Can I run a proof of concept with Brilo AI? — Yes; run a short proof of concept (POC) that focuses on measurable outcomes like call deflection or lead qualification.
Why This Question Comes Up (problem context)
Buyers ask how to start a Brilo AI pilot because enterprises must reduce risk while proving value. Security, compliance, and measurable outcomes matter in healthcare, banking, and insurance, so teams need a repeatable, audit-friendly pilot plan. Pilots help evaluate Brilo AI voice agent capabilities such as intent recognition, interactive voice response (IVR) flows, and human handoff without committing to full production. Procurement and operations teams also need clarity on required inputs, timelines, and escalation procedures before approving a wider deployment.
How It Works (High-Level)
A Brilo AI pilot runs one or more configured Brilo AI voice agents against real or routed test calls under controlled conditions. You pick a single business objective (for example appointment scheduling in healthcare or balance inquiries in banking), set success metrics, and configure call routing, prompts, and escalation rules in the Brilo AI dashboard. During the pilot Brilo AI captures intent recognition, call transcripts, and summaries so you can measure accuracy and customer experience. A pilot is a timeboxed evaluation of a voice agent against defined KPIs; the Brilo AI voice agent is the configured conversational system that answers calls, asks questions, and follows routing logic.
Guardrails & Boundaries
Brilo AI pilots should be constrained to a limited scope and explicit safeguards. Configure escalation rules for any low-confidence intent or sensitive data request to prevent unsupervised handling. Limit pilot traffic volumes and time windows, and require a human monitor for live calls in regulated sectors. Human handoff is the workflow that transfers an ongoing call from the Brilo AI voice agent to a live agent or a secondary process. Do not use a pilot to process unvetted sensitive personal health information or high-value financial transactions without pre-approved controls and legal review.
Applied Examples
Healthcare: Run a Brilo AI pilot for appointment reminders and pre-visit screening. Route any clinical-sounding questions or high-risk phrases to a nurse or care coordinator for human review. Track missed intents and patient satisfaction during the pilot window.
Banking: Pilot a Brilo AI voice agent for routine balance and transaction enquiries. Escalate authentication, account change, or dispute intents immediately to a live representative and log all escalation events for audit.
Insurance: Use a Brilo AI pilot to capture claims intake basics (policy number, incident date). Route complex or ambiguous incidents to an adjuster and monitor intent recognition precision before expanding.
Human Handoff & Escalation
Brilo AI supports explicit handoff patterns during pilots: immediate warm transfer to a live agent, queued callback requests, or API-triggered case creation in your systems. In the pilot you should define threshold conditions—such as low intent confidence, specific keywords, or caller request types—that trigger a human handoff. Configure the Brilo AI voice agent to announce the handoff reason and pass collected context (transcript snippets, captured entities) to the receiving agent or workflow to reduce repeat questioning.
Setup Requirements
Define: Select a single, measurable pilot objective and success criteria (e.g., percent of calls resolved without human handoff).
Prepare: Assemble call examples, scripts, and common phrases the Brilo AI voice agent should handle.
Configure: Create the pilot Brilo AI voice agent in the dashboard, set prompts, and build simple routing and escalation rules.
Connect: Integrate one target system—your CRM or your webhook endpoint—for logging or case creation.
Test: Run internal tests, validate intent recognition and handoff paths, and confirm monitoring is active.
Launch: Route a controlled slice of real calls to the pilot agent with human monitoring enabled.
Review: Collect transcripts, speech analytics, and stakeholder feedback, then iterate on prompts and routing.
Business Outcomes
A focused Brilo AI pilot helps you reduce risk while validating behavior, improving first-contact automation, and surfacing real-world edge cases. Expected outcomes include clearer handoff requirements, a measurable baseline for intent accuracy, and documented changes needed for scale. Pilots provide operational confidence in Brilo AI voice agent call routing and escalation before procurement and compliance sign-off.
FAQs
How long should a Brilo AI pilot run?
Pilot length depends on your traffic and statistical confidence needs; many customers run timeboxed pilots of a few weeks to collect enough call samples to evaluate intent accuracy and handoffs.
What data do I need to share with Brilo AI for a pilot?
Provide example call scripts, typical caller intents, phone numbers for routing, and access to one integration point (your CRM or a webhook). Sensitive data handling should be agreed and limited during the pilot.
Will pilot calls be recorded and stored?
Brilo AI captures transcripts and call metadata for evaluation by default; configure retention and access controls according to your privacy and compliance requirements before you start.
Can I stop the pilot if results are not satisfactory?
Yes. Pilots are designed to be reversible—you can pause routing to the Brilo AI voice agent and preserve collected artifacts for review and remediation.
Next Step
Schedule a personalized demo or pilot conversation with Brilo AI sales to align on objectives and timelines.
Prepare your pilot package: target use case, sample calls, and the integration endpoint (your CRM or webhook).
Request a pilot kickoff from your Brilo AI account manager to establish monitoring, escalation rules, and an initial success dashboard.
In Brilo AI, a pilot is a controlled rollout to validate agent behavior; start small, monitor closely, and iterate based on the pilot’s speech analytics and handoff logs.