Direct Answer (TL;DR)
A successful Brilo AI Proof of Concept (PoC) demonstrates that the Brilo AI voice agent reliably recognizes caller intent, routes or escalates calls correctly, preserves context during human handoff, and meets your data-handling and operational thresholds during a bounded pilot. The PoC should produce measurable logs: intent accuracy, confidence scores, call routing outcomes, and time-to-resolution for escalations. It must also validate integrations with your CRM or webhook endpoint and show how Brilo AI handles edge cases and fallbacks. Use short, repeatable scenarios and a mix of real and synthetic calls to measure stability, accuracy, and handoff quality.
What should we measure in a PoC? — Measure intent recognition, confidence score, correct routing, successful human handoffs, and transcript quality.
How long should a PoC run? — Run long enough to capture representative call volume and edge cases; most enterprise pilots run weeks rather than days.
What makes a PoC “pass”? — A PoC passes when Brilo AI meets your predefined accuracy, routing, and escalation thresholds and integrates with your systems without critical failures.
For examples of how Brilo AI adapts after deployment, see the Brilo AI self-learning voice agents use case: Brilo AI self-learning voice agents use case
Why This Question Comes Up (problem context)
Enterprise teams need objective criteria to decide whether to scale voice AI beyond a pilot. Calls in healthcare, banking, or insurance include sensitive data and complex workflows, so teams ask how to judge whether the Brilo AI voice agent is production-ready. Procurement, security, and operations leaders want repeatable metrics and observable behavior (not marketing claims) to reduce risk when migrating live traffic. A clear PoC scope prevents scope creep and ensures compliance, operational continuity, and predictable handoffs.
How It Works (High-Level)
Brilo AI PoCs run a constrained set of live or simulated call scenarios against a configured Brilo AI voice agent, capturing transcripts, intent tags, confidence scores, call routing decisions, and handoff logs. You define pass/fail thresholds, then run the scenarios across representative accents, networks, and peak times. Brilo AI supports iterative tuning: update prompt templates, add knowledge base articles, or adjust routing rules and re-run tests until thresholds are met. Telemetry is exported for post-call review so teams can quantify intent recognition, call deflection, and escalation behavior.
Proof of Concept (PoC) is a time-boxed pilot that validates intent recognition, routing, integrations, and handoff behavior against predefined success criteria.
Intent recognition is the process that converts caller speech into a labeled intent used to drive routing, responses, or actions.
Guardrails & Boundaries
A PoC must define safety boundaries before tests begin. Configure Brilo AI to fail-safe into human handoff on low confidence, PHI exposure, or regulatory triggers. Do not treat PoC performance under synthetic calls as identical to production audio conditions; guard for background noise, multi-party calls, and legal-language requests. Confidence score is a telemetry field representing the agent’s estimated certainty for an intent; route or escalate when this score falls below your threshold. Maintain logging, redaction rules, and transcript retention policies during the PoC and avoid routing decisions that expose protected data unnecessarily. For guidance on measuring accuracy and expected behavior, review Brilo AI’s accuracy and evaluation guidance: Brilo AI accuracy and evaluation guidance
Human handoff is the workflow that transfers the caller and context to a live agent while preserving transcripts, intent, and call metadata.
Applied Examples
Healthcare: Run a PoC with Brilo AI handling appointment scheduling and insurance eligibility questions. Validate that the voice agent correctly recognizes patient intents, routes when sensitive PHI is requested, preserves context for human triage, and redacts PHI from logs when required by your policies. Use representative accents and hold music to test transcription and routing under real conditions.
Banking / Financial Services: Test Brilo AI with common account inquiries and simple balance checks routed via your CRM. Confirm that Brilo AI triggers multi-factor authentication handoffs, escalates on suspected fraud phrases, and logs intent and confidence for each routed call.
Insurance: Use Brilo AI to qualify claims intake by extracting policy number, incident date, and claimant intent. Validate that the agent hands off to an adjuster when the claim complexity or confidence score exceeds configured limits.
Human Handoff & Escalation
Brilo AI supports configurable handoff rules that preserve transcript, intent, entities, and conversation context. During a PoC, define triggers such as low confidence score, policy keywords, caller request for a human, or regulatory content that automatically route to a live agent queue or a supervisor workflow. Handoff preserves call metadata and can include a pre-populated CRM case or a webhook payload to your backend. In practice, teams test both warm transfers (agent receives context before answering) and cold transfers (caller is moved without pre-brief); measure time-to-resolution and repeat questioning rates as handoff quality metrics.
Setup Requirements
Define objectives: Document success criteria (intent accuracy threshold, acceptable routing error rate, allowed fallback percentage).
Provision access: Create admin access to the Brilo AI console and grant visibility to Calls and Insights.
Provide sample data: Supply representative call scripts, sample audio, and common utterances for the PoC scenarios.
Configure integrations: Connect your CRM or webhook endpoint and configure routing rules for handoffs.
Enable telemetry: Turn on transcript export, confidence scores, and call logging for post-call review.
Run scenarios: Execute test calls across hours and conditions, recording outcomes and errors for tuning.
Tune and iterate: Adjust prompts, routing rules, or knowledge base content and re-run failing scenarios.
Refer to setup resources: Brilo AI call deflection and setup guidance and Brilo AI Duck Creek integration guide
Business Outcomes
A well-scoped Brilo AI PoC clarifies operational readiness and reduces integration risk. Expected outcomes include fewer unnecessary human transfers for routine queries, faster average time-to-resolution on escalations, and predictable integration with CRM and case systems. The PoC also surfaces gaps in knowledge base coverage, transcription quality, or routing logic so you can remediate before full roll-out.
FAQs
What metrics should I track during a Brilo AI PoC?
Track intent accuracy, confidence score distribution, routing success rate, number of handoffs, time-to-resolution after handoff, transcript quality, and integration error rates.
How many calls do we need to validate the PoC?
There’s no one-size-fits-all number; choose a sample that covers peak hours, accents, and edge cases. Aim for a mix of scripted and live calls to surface both repeatable errors and rare failures.
Can Brilo AI handle PHI during a healthcare PoC?
Brilo AI can be configured to minimize PHI exposure by redaction and routing to human agents, but you must evaluate and enforce your organization’s policies and controls during the PoC.
What happens if Brilo AI fails a scenario?
Capture the transcript, confidence score, and routing decision, then iterate: update prompts, add knowledge base content, or adjust routing thresholds and re-test.
Who should own the PoC internally?
A cross-functional team (operations, security/compliance, contact center, and an engineering or integration owner) typically runs the PoC to cover policy, telemetry, and integration validation.
Next Step
Review production-readiness and accuracy guidance in Brilo AI’s evaluation article: Brilo AI accuracy and evaluation guidance
Prepare PoC scenarios and integration plans using Brilo AI’s call deflection and setup guidance: Brilo AI call deflection and setup guidance
If you need domain-specific examples, explore Brilo AI resources for healthcare receptionists and lead qualification to model PoC scripts: Brilo AI voice AI receptionists in healthcare and Brilo AI lead qualification with voice agents