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How is the AI trained on our information?

A
Written by Axel May Rivera
Updated this week

Direct Answer (TL;DR)

How is the AI trained on our information? The Brilo AI voice agent is trained by attaching the content you upload to the platform to a specific agent and by setting the agent’s conversational instructions (prompt). The AI phone agent works at its best capabilities by using uploaded documents, approved call transcripts, and the agent prompt to produce answers at call time. Changes take effect when a new agent version is created and published.

Why This Question Comes Up (problem context)

Teams want confidence that the Brilo AI voice agent will speak with correct facts and approved tone. Call volume, product changes, and regulatory language create a need to control what the Brilo AI voice agent says. Buyers also want to avoid accidental learning from noisy or private calls and to be able to test updates safely before full rollout.

How It Works (High-Level)

Brilo AI voice agent training starts when you upload canonical documents and curated call summaries into the platform knowledge base (KB). The AI phone call agent uses that attached knowledge plus the agent’s best conversational instructions (prompt) to generate responses during a call. Brilo AI voice agent capabilities also use recent call transcriptions to surface candidate improvements, but human curation is recommended before those transcripts become source knowledge. Final behavior is controlled by publishing agent versions so you can test and compare changes.

Guardrails & Boundaries

Brilo AI voice agent guardrails are configured by customers and by platform settings. Typical guardrails include rules for safe escalation, restricted topics, and confidence thresholds that force a handoff. Brilo AI voice agent training does not require automatic use of every recording. The recommended pattern is human-in-the-loop review of transcripts before adding them to the KB. Do not allow the Brilo AI voice agent to auto-ingest unvetted calls if your policies prohibit PII or unapproved content.

Applied Examples

Here are the capabilities of an AI phone answering system for businesses:

  • Product FAQ: Upload the product spec sheet and FAQ PDF. Attach those files to the Brilo AI voice agent so callers receive consistent answers drawn from the approved text.

  • Billing flows: Add billing policy documents and curated billing call summaries to the agent knowledge base so the Brilo AI voice agent can collect required account details and state policy verbatim.

  • Continuous improvement: Periodically export high-quality call summaries, correct any errors, and then upload those summaries so the Brilo AI voice agent reflects real-world phrasing for common issues.

Human Handoff & Escalation

Human escalation is part of Brilo AI voice agent design. Configure escalation rules in the agent settings so the Brilo AI voice agent transfers calls when confidence is low, when a caller requests a person, or when a restricted topic is detected. During handoff, the Brilo AI voice agent can provide a short summary of intent and the data collected so far. Make sure escalation recipients and routing rules are defined before publishing an agent version.

Setup Requirements

To train the best self-learning AI phone call agents, you typically provide the following inputs:

  • Approved source documents such as PDFs, policy pages, and canonical FAQs.

  • Curated call transcripts or summaries for customer engagement examples. Redact PII if required.

  • Agent conversational instructions including greeting, disclosure, and behavior rules (prompt).

  • Routing and escalation rules, and a list of who should receive escalations.

Business Outcomes

Training the Brilo AI voice agent on approved knowledge and curated call data improves consistency and reduces incorrect answers. Properly configured Brilo AI voice agent capabilities reduce repeat handling, speed resolution for routine requests, and free human agents for higher-value work. Versioning and A/B testing help measure what prompt, greeting, or knowledge set delivers better caller experience and lower escalation rates.

Next Step

Prepare a small pilot set of documents and one curated transcript set, then create the best AI phone agent that validate answers in production-like calls. For implementation guidance and use cases, review Brilo AI's resources and phone guide. For assistance, book a call with our team today.

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