Brilo AI Knowledge Fallback is the platform behavior that runs when the agent’s knowledge base or training data does not contain a confident answer. When Knowledge Fallback triggers, Brilo AI runs its configured recovery steps: ask a short clarifying question, apply a confidence threshold, then execute a fallback action such as a warm transfer with context, cold transfer, voicemail, or decline. Knowledge Fallback preserves session memory and caller context where possible so human agents receive relevant details during handoff. Administrators control fallback routing, confidence thresholds, and the number of clarification attempts.

What happens if knowledge is incomplete?

When the knowledge base is missing an answer, Brilo AI uses Knowledge Fallback to clarify or escalate with context.

What does Brilo AI do when it can’t answer?

Brilo AI asks a clarifying question, checks confidence, then follows your configured fallback (transfer, voicemail, or decline).

How does Brilo AI avoid wrong answers when knowledge is partial?

Brilo AI uses conservative fallback rules and routes uncertain calls to humans with a summary and session context.

Buyers ask about Knowledge Fallback because enterprise contact centers must protect caller experience and compliance while relying on automated agents. In regulated sectors like healthcare and financial services, an incorrect or fabricated answer can cause operational risk, longer handling time, and unnecessary escalations. Procurement and operations teams need to know how Brilo AI will behave when company knowledge, product documentation, or CRM records do not provide a confident response.

Brilo AI evaluates incoming caller utterances against the configured knowledge base and training data. When confidence in a matched answer is below the configured confidence threshold, Brilo AI initiates Knowledge Fallback. Typical steps include a brief clarifying question (to recover context), re-evaluation of intent, and then a fallback action determined by admin routing rules. The system preserves session memory across these steps so context is available during escalation. In Brilo AI, the knowledge base and session memory work together to minimize unnecessary handoffs.

Relevant terms: fallback, confidence threshold, clarifying question, session memory, knowledge base, warm transfer.

Brilo AI enforces guardrails to reduce incorrect answers and unsafe escalation behavior. Guardrails include maximum clarification attempts, conservative default responses when confidence is low, and mandatory human escalation for out-of-scope or regulated requests. Brilo AI will not invent new facts; when allowed probability is low, the system prioritizes safe fallbacks (transfer or voicemail) rather than speculative responses. Administrators can tune confidence thresholds and fallback workflows to meet compliance or operational policies.

Further guidance: How do you prevent wrong or made-up answers?

Brilo AI supports multiple handoff types. A warm transfer includes a human briefing (summary of the caller’s intent, extracted entities, and recent turns) so the receiving agent does not ask the caller to repeat information. A cold transfer hands the call off without a briefing. Brilo AI can also create voicemail or case records and deliver post-call summaries to the receiving queue or CRM. Administrators define which fallback action occurs for each confidence range and intent category, ensuring human teams receive the right context.

For guidance on fallback routing and transfer behavior, review Brilo AI’s routing and escalation pages: What happens if the AI doesn’t understand the caller?

Implementing Knowledge Fallback in Brilo AI reduces the risk of incorrect automated replies and improves first-contact resolution when the knowledge base is complete. Expected operational benefits include fewer repeated questions to callers, more efficient human handoffs with context, and clearer escalation paths for regulated queries. Properly tuned fallback policies help balance automation throughput with safety and compliance needs.

What triggers Knowledge Fallback?

A low-confidence match against your knowledge base or when the agent detects an out-of-scope intent. The confidence threshold you configure determines the trigger.

Can I require human escalation for certain intents?

Yes. You can map specific intents or topic categories to mandatory escalation so Brilo AI always routes these calls to humans.

Will fallback transfers include context for the agent receiving the call?

Warm transfers include a summary of the caller’s intent, extracted entities, and recent dialogue. Cold transfers do not include the briefing.

How many clarification attempts will Brilo AI make?

You set the maximum number of clarifying questions in the agent configuration; after that, the fallback action executes.

Can Knowledge Fallback create a ticket in our CRM?

Yes. Brilo AI can create case records or send a post-call summary to your CRM or webhook endpoint, if configured.