Direct Answer (TL;DR)
A Brilo AI pilot/POC (proof of concept) typically includes a scoped set of call flows, a short-duration live or simulated trial, success criteria, data and security reviews, integration tests, and delivery of documentation such as a runbook, test plan, and stakeholder RACI. Brilo AI pilots focus on validating real customer intents, end-to-end routing to your systems, and measurable quality gates before wider rollout. The pilot/POC documentation ensures repeatable setup, clear escalation behavior, and traceable acceptance criteria for the enterprise. After the pilot, Brilo AI provides artifacts you can use to operationalize voice agent workflows.
What does a Brilo AI pilot include? — A scoped live trial, integration validation, success criteria, and runbook documentation for handoff and monitoring.
What documentation is required for a Brilo AI POC? — A test plan, call flow scripts, data access list, security checklist, and a RACI (roles and responsibilities) document.
How long is a Brilo AI pilot/POC and how is success measured? — Duration and metrics are agreed during scoping; success is measured by pre-defined quality gates such as intent accuracy, completion rate, and handoff behavior.
Can Brilo AI pilots run against production telephony? — When configured and approved, pilots can run against production numbers with hardened guardrails and monitoring.
Why This Question Comes Up (problem context)
Enterprise buyers ask this because pilots reduce risk: they want to validate Brilo AI voice agent capabilities against regulated workflows, legacy cores, and real customer calls before committing to full deployment. Procurement, security, and operations teams need clear deliverables — technical, process, and compliance artifacts — to approve wider rollouts. Buyers also need to know what integrations, data access, and human-in-loop arrangements are required during the pilot.
How It Works (High-Level)
Brilo AI pilots run as a time-boxed engagement that mirrors your target production workflow. Brilo AI configures a small set of call flows and intents, connects to one or two backend endpoints (your CRM or webhook endpoint), and runs controlled traffic (live callers or recorded calls). Brilo AI then captures metrics, transcripts, and interaction logs, and delivers a pilot runbook and test report that describe setup steps, routing behavior, and acceptance criteria. In Brilo AI, a pilot/POC is a short, measurable validation of specific voice agent capabilities against your production constraints. See Brilo AI’s discussion of agent capability comparisons for guidance on scope and expected behaviors: Brilo AI AI vs Human Calling Agents: Key Comparisons and the Best Choice for Your Business.
Guardrails & Boundaries
Brilo AI pilots include explicit guardrails to prevent unsafe behavior and limit data exposure during testing. Typical boundaries include call recording controls, intent confidence thresholds that force human handoff, rate limits for outbound calls, and restricted access to production data. In Brilo AI, a runbook is the operational guide that lists these guardrails and step-by-step escalation triggers. Brilo AI will not perform unsupported actions without an agreed configuration (for example, automated changes to policy records without an approved integration and authentication setup). For healthcare or other regulated workflows, Brilo AI configures stricter logging and consent flows during pilots; see the healthcare operations discussion for common compliance considerations: Voice AI Receptionists in Healthcare: 24/7 Support Without Breaking the Bank.
Applied Examples
Healthcare example — A hospital runs a Brilo AI pilot/POC to screen appointment calls. The pilot includes consent prompts, symptom-triage intents, secure logging of call summaries to the hospital scheduling system, and a runbook describing when calls escalate to a clinical coordinator. The pilot validates intent recognition on real calls and documents handoff thresholds for live nurses.
Insurance example — An insurer pilots Brilo AI for claims intake. The pilot validates voice agent capture of claimant details, integration with the claims core for case creation, and a documented test plan that simulates high-volume bursts.
Banking example — A bank runs a Brilo AI POC to automate balance inquiries and routing to fraud teams. The pilot captures transcripts and intent accuracy metrics, and includes a RACI for fraud escalation and a security checklist for sensitive data handling.
Human Handoff & Escalation
Brilo AI voice agent workflows can be configured to hand off to a human agent or alternate workflow based on confidence thresholds, intent type, or explicit user request. Typical handoff triggers include low confidence in intent classification, detection of escalation keywords, or predefined transaction types that require human review. Handoff can be configured as a warm transfer (notify the next agent with context) or cold transfer (simple routing). Brilo AI documents the expected call state and context passed at handoff in the runbook. Brilo AI also supports automated alerts and logging to ensure operations and support teams can review handoffs during the pilot.
Setup Requirements
Define: Provide Brilo AI a prioritized list of pilot use cases, sample call recordings (sanitized), and target success criteria (intent accuracy, completion rate, acceptable handoff rate).
Authorize: Provide access credentials or an integration point for your CRM or webhook endpoint and identify a test phone number or DID to use.
Map: Share existing call flows, IVR scripts, and routing rules so Brilo AI can reproduce expected behavior.
Secure: Provide required security contacts and a list of data fields allowed in transcripts and logs; confirm logging and retention preferences.
Test: Participate in a controlled testing window (live calls or replayed calls) and review interim metrics with Brilo AI.
Accept: Review the pilot runbook, success report, and RACI for sign-off and next steps.
For integration specifics and common core system examples see: Brilo AI integration with Duck Creek Suite.
Business Outcomes
A well-scoped Brilo AI pilot/POC reduces deployment uncertainty and surfaces integration gaps early. Typical operational outcomes seen after a successful pilot include faster triage of calls, fewer unnecessary transfers to specialists, and documented, repeatable deployment artifacts (runbook, test plan, RACI) that shorten time to production. The pilot also produces measurable quality gates and logs that help security and compliance teams make an informed go/no-go decision.
FAQs
What artifacts will Brilo AI deliver at the end of a pilot/POC?
Brilo AI typically delivers a pilot runbook, test plan and results report, documented call flows, a RACI for operational ownership, and logs/transcripts used for validation and tuning.
Do I need to provide production credentials for a pilot?
You do not need to expose full production credentials; Brilo AI can run pilots against a sandbox or restricted integration endpoint. If production endpoints are required, Brilo AI works with your security team to limit scope and logging during the pilot.
Can Brilo AI pilots include outbound calling?
Yes, when agreed in scope. Brilo AI pilots that include outbound calling will document consent handling, throttling limits, and compliance checks in the runbook.
How is success measured during a Brilo AI pilot?
Success is measured against pre-agreed acceptance criteria (intent accuracy, completion rate, handoff rate, and other KPIs). Brilo AI provides interim dashboards and a final acceptance report.
Will the pilot affect live customers?
Pilots can be staged to avoid impacting live customers (using test numbers or segmented traffic). If live traffic is used, Brilo AI configures conservative guardrails and monitoring to minimize risk.
Next Step
Review typical pilot scopes and decision criteria in Brilo AI’s customer engagement guidance: AI In Customer Engagement | Best Tools and Strategies.
Schedule a technical scoping session with Brilo AI to define success criteria and required integrations, and review the Sapiens and insurance integration examples: Integrate AI Phone & Voice Agents to Sapiens with Brilo.
Prepare your sample call data and stakeholder list so Brilo AI can build the pilot runbook during the scoping session.