Brilo AI supports importing your knowledge base (KB) so the Brilo AI voice agent can answer calls using your company content. To import your KB you provide content sources (documents, FAQs, CRM records, or an external webhook), Brilo AI ingests and indexes those documents into a searchable store, and the voice agent uses semantic search and natural language understanding (NLU) to surface answers in live calls. Typical steps include mapping content formats, choosing update cadence (one-time upload or continuous sync), and validating answer confidence before go-live.

How do I upload our KB to Brilo AI? — You can upload documents or connect a CRM/webhook for continuous sync.

Can Brilo AI import our FAQ or support articles? — Yes; Brilo AI ingests FAQ pages, PDFs, and structured articles and indexes them for semantic retrieval.

What formats are supported for a KB import? — Brilo AI accepts common text formats and CRM records; for continuous sync use a webhook or integration point.

Buyers ask how to import their knowledge base because accurate answers depend on current, authoritative content. Enterprises in healthcare, banking, and insurance must control source data, update cadence, and validation workflows before letting a voice agent answer live calls. IT and support teams need clarity on data formats, integrations with their CRM or EHR, and how Brilo AI preserves context, metadata, and answer provenance during ingestion.

When you import your knowledge base into Brilo AI, the platform performs three core actions: content ingestion, indexing, and runtime retrieval. First, Brilo AI ingests documents or connects to your source (CRM, document store, or webhook) and extracts text and metadata. Next, Brilo AI creates searchable vectors and indexes so the agent can run semantic search and return relevant passages during calls. Finally, the Brilo AI voice agent uses NLU and intent recognition to match caller queries to knowledge base results and formulates responses within configured answer-quality thresholds.

In Brilo AI, content ingestion is the process that extracts and normalizes text and metadata from sources for indexing.

In Brilo AI, semantic search is the vector-based lookup that finds the most relevant passages from your imported KB for a given caller query.

In Brilo AI, indexing is the step that converts normalized content into the searchable store the voice agent queries at runtime.

For implementation patterns and how Brilo AI’s system learns from live interactions, see Brilo AI’s self-learning voice agent overview: Brilo AI self-learning AI voice agents.

Relevant technical terms used: knowledge base, KB import, content ingestion, semantic search, embeddings, indexing, CRM sync, webhook, NLU.

Brilo AI enforces guardrails to reduce incorrect answers and protect sensitive operations. Typical guardrails include answer confidence thresholds, fallback scripts that route to human agents, and redaction of fields marked sensitive during ingestion. Brilo AI will not publish imported content to callers until you validate sample responses and configure routing rules for low-confidence queries.

In Brilo AI, answer confidence threshold is the configured level below which the agent will either ask a clarifying question or escalate to a human rather than returning a low-confidence KB answer.

Do not import raw PHI or unvetted legal language without your compliance review and agreed-on redaction rules. When you enable continuous sync from a CRM or EHR, configure access controls and a staging environment to test updates before they go live. For integration examples and routing options, review Brilo AI’s integration guides for common systems like HubSpot and Sapiens in the Setup Requirements and Next Step sections below.

Brilo AI voice agent workflows can hand off to a human at multiple points: when confidence is low, when a topic is flagged as sensitive, or when a caller requests a person. Handoff behavior is configured in routing rules: you can route to a live agent queue, schedule a callback, or open a ticket in your CRM. During handoff, Brilo AI passes the caller’s context, the KB passages used, and a short call summary to the receiving agent to reduce time-to-resolution.

For CRM-specific connection examples and sync patterns, see Brilo AI + HubSpot integration guide and for policy systems used in insurance, see Integrate AI Phone & Voice Agents to Sapiens with Brilo.

Importing your knowledge base into Brilo AI reduces time to answer for routine calls, standardizes information delivered to callers, and lowers agent repeat work by surfacing consistent, indexed answers. For regulated teams, a validated KB import workflow improves auditability because Brilo AI can preserve content provenance and version history for answers used during calls. These outcomes are realized when you combine a carefully curated KB with conservative confidence thresholds and clear escalation paths.

What file formats can I upload?

Brilo AI accepts common text formats and structured data exports. For continuous synchronization, provide a secure endpoint (CRM or webhook) so Brilo AI can pull updates programmatically.

How often can Brilo AI refresh the knowledge base?

You choose the cadence: one-time imports, scheduled batch updates, or near-real-time sync via webhook/CRM integration. Use a staging refresh to validate changes before production.

How does Brilo AI handle conflicting information in the KB?

During ingestion Brilo AI preserves metadata and timestamps; you should set a canonical source and mapping rules so the agent prefers the authoritative entry. Low-confidence or conflicting results should be routed to human review per your escalation rules.

Can we test KB answers before going live?

Yes. Brilo AI supports a staging environment where you can run sample calls, view the passages returned by semantic search, and adjust thresholds or redactions before enabling production traffic.

Will Brilo AI store my KB data?

Brilo AI indexes the content to enable semantic retrieval. Storage, access controls, and retention are managed per your implementation agreement; confirm storage handling with your Brilo AI account team.

If you’re ready to proceed, gather a representative set of documents and open a support ticket or book an implementation call with your Brilo AI contact to schedule a staged KB import and validation session.