Brilo AI Knowledge Updates let you push new or edited content into the Brilo AI voice agent’s knowledge base so the agent responds from current information. Updates can be applied as discrete content changes (for example, FAQ edits, policy text, or new routing rules) and become available to the running voice agent after Brilo AI finishes content ingestion and brief indexing. The visible propagation time depends on the size of the update and whether you trigger a full retrain or an incremental refresh; for small edits this often completes quickly, while larger content sets or formal retraining workflows take longer. Use targeted updates for fast refreshes and scheduled retrains for broad model improvements.

How fast can I refresh the knowledge? — For small content edits, Brilo AI Knowledge Updates typically propagate after ingestion and indexing complete; larger data imports or retrains take more time.

How soon will callers hear the change? — Changes pushed as incremental updates can be reflected in calls once indexing finishes; full training cycles will delay visibility until the cycle completes.

Can I make urgent corrections? — Yes; you can submit critical corrections as targeted knowledge updates that prioritize ingestion over nonurgent batch processes.

Enterprise buyers ask about update speed because contact centers and regulated teams need predictable timelines for changing scripts, policies, and account details. Healthcare, banking, and insurance teams often must correct sensitive content quickly to avoid compliance or operational issues. Knowing how Brilo AI applies Knowledge Updates helps buyers plan deployment windows, staffing, and rollback procedures.

Brilo AI applies Knowledge Updates through a two-step flow: content ingestion and content activation. First, you submit updated documents, structured Q&A pairs, or knowledge base records to Brilo AI. Second, Brilo AI ingests and indexes the new content so the voice agent can retrieve it during calls. Small textual edits use incremental indexing and typically make the content available faster; broader updates can trigger a scheduled training cycle to align dialogue behavior with the new knowledge.

In Brilo AI, a knowledge update is a submitted content change (for example, a new FAQ entry or corrected policy text) that is ingested and indexed for agent retrieval.

In Brilo AI, the knowledge base is the searchable set of documents, Q&A pairs, and routing rules the voice agent consults during live calls.

In Brilo AI, a training cycle is an optional full workflow that retrains response selection and dialogue behavior using the current knowledge and interaction logs.

Brilo AI Knowledge Updates are designed for content and retrieval updates; they do not automatically change external business systems unless you configure a workflow to do so. Do not rely on incremental updates for content that legally requires archival or immutable records without following your compliance controls. Brilo AI will not publish updates until ingestion and indexing complete; if you need immediate visibility, use a targeted correction workflow and confirm activation in the admin console.

Incremental refresh is a limited re-index that updates retrieval behavior without a full retrain; it is not a substitute for formal validation of regulatory content. Keep change control in your deployment plan and restrict who can push Knowledge Updates to avoid accidental or unauthorized changes.

When a Knowledge Update affects decisioning (for example, routing to specialists or escalation conditions), Brilo AI can be configured to route calls to a human agent or supervisor until the update is verified. You can also use staged rollout: route a percentage of calls to a verification queue before broad activation. Configure escalation triggers so the voice agent automatically hands callers to a human when it detects uncertain or high-risk responses during or immediately after an update.

How long does an incremental update usually take?

Incremental updates are designed for small edits and typically complete after ingestion and indexing, which is faster than a full training cycle. Exact time varies by payload size and queue load.

Do Knowledge Updates change the underlying model weights immediately?

No. Knowledge Updates update searchable content and retrieval behavior; a full training cycle is required to change model behavior that depends on re-learning dialogue patterns.

Can I test updates before activating them in production?

Yes. Use your Brilo AI staging environment to validate updates and run test calls. Staged rollouts let you route a subset of real traffic for verification.

Who should be allowed to push Knowledge Updates?

Limit update permissions to trained operations, compliance, and content owners. Maintain an audit trail for every update to support review and rollback.