A release checklist for voice assistant learning changes
Review candidate evidence, evaluation limits, selected versions and rollback before publishing an assistant improvement.
Table of Contents▼
An improvement proposal can be wrong. It can fix one scenario while weakening another, copy a false statement from a call or remove an important limit. A release process should make those risks inspectable rather than promising that automated learning cannot fail.
Keep a change record
For each candidate, retain the starting version, exact changes, reason, source evidence and intended outcome. Identify whether it modifies business facts, style, action permissions or routing. Those changes can require different reviewers and tests.
Burki's learning services support suggestions and versioned candidates with evaluation and human approval. This does not establish that all model outcomes are deterministic, that every runtime uses a canary, or that an automatic rollback will protect every caller.
Review before testing
Check for unsupported prices, integration assumptions, removed human options and new personal-data collection. A generated candidate is untrusted text until reviewed. Do not allow examples from one customer to become instructions or disclosed context for another.
Use several kinds of evidence
| Evidence | What it can establish |
|---|---|
| Fixed text scenarios | Responses or action arguments for defined inputs |
| Workflow checks | Supported nodes and expected transitions |
| Browser conversation | Behavior on the selected browser audio path |
| Controlled telephone call | Behavior on the actual carrier route |
| Business-system result | Whether the authorized action really completed |
Passing one row does not prove the others. Keep failed and untested cases visible.
Confirm the selected runtime version
Approval is a decision; deployment and admission are separate events. Verify that the intended assistant/runtime actually selects the approved configuration. Do not infer production use from a draft, a successful evaluation or a service-level status alone.
Prepare recovery and monitoring
Keep the prior accepted version and identify who can restore it or the previous telephone route. Define stop conditions for incorrect actions, privacy failures or lost callers. Only describe automatic rollout or rollback behavior that has been implemented and accepted for the selected path.
After release, review the targeted outcome, adjacent failures and costs. A lower average call duration is not an improvement if callers are leaving without help. The evaluation guide supplies a repeatable foundation for the checks.
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