Measure agent-assist latency from the triggering customer utterance to usable guidance, keeping late, missing, and superseded suggestions in the results. The useful deadline is the moment the agent needs to act. A fast response arriving after that moment has failed the timing requirement for that case.

Level AI describes live guidance. Google Cloud documents proactive suggestions and delivery options. Neither description supplies a latency benchmark for your desktop, network, language mix, or contact flow. Request an observable end-to-end test rather than treating a model's response time as the complete experience.

Which timestamps should the test capture?

Create a trace with a common clock and one interaction identifier. Record the end of the utterance that contains enough information to trigger help, the point the application receives input, any available processing and delivery timestamps, and the moment the agent can read the result. Mark whether the content was stable or still changing.

EventTest record
Useful question becomes clearReplay timestamp and expected task
Suggestion arrivesApplication event, where observable
Guidance becomes readableDesktop recording timestamp
Opportunity closesAgent answer or customer topic change
OutcomeTimely, late, missing, or superseded

This is a proposed test design. Some suppliers may not expose internal stages; label those intervals unobservable rather than inventing timings. A desktop recording can still establish the overall delay experienced by an agent.

How should you choose realistic test conditions?

Include ordinary speech, interruptions, a topic correction, a longer customer explanation, and multiple simultaneous test conversations. Run the same cases under the desktop conditions agents actually use. Document browser, location, integration version, and competing applications so another reviewer can repeat the test.

Use an agreed sample across contact types, not one polished demonstration. Report a distribution and the slowest operationally important cases alongside the median. Separate delay from absence: a missing suggestion should not disappear from the sample merely because no delivery timestamp exists.

What should happen when guidance becomes stale?

Ask the vendor to demonstrate how an earlier answer is replaced or withdrawn after the customer changes the request. Score whether the agent can distinguish current guidance from an obsolete card. Decide whether late suggestions should be suppressed, marked, or left available for reference; verify the available controls during evaluation.

For example, a return-policy suggestion may arrive after the conversation has shifted to a damaged shipment. Record the timing and relevance failures separately. Use suggestion relevance testing to analyze that second issue.

How do you calculate a useful result from the trace?

In an illustrative replay, the customer finishes the triggering question at 10.0 seconds, readable guidance appears at 12.4 seconds, and the agent must answer by 12.0 seconds. The observed delay is 2.4 seconds and the guidance is late by the case's decision deadline. These numbers demonstrate the calculation; they are not measurements of a product or a recommended universal threshold.

OutcomeTreatment in the report
Correct guidance before the deadlineCount as timely and retain its observed delay.
Correct guidance after the deadlineCount as late; do not include it as a successful intervention.
No usable guidanceCount as missing; do not discard the case.
Wrong or stale guidance arrives quicklyRecord latency and a separate quality failure.

Publish the timely-and-correct count over all eligible test opportunities, alongside latency percentiles for delivered guidance and the missing-output count. Keep the replay, clock precision and deadline definition with the result. If only the screen is observable, report end-to-end timing and leave internal attribution unresolved.

What are the limits of this method?

Sources were checked October 20, 2026. We performed no latency measurements and set no universal time threshold. Supplier instrumentation, network access, and recording precision may limit attribution to individual stages. Your acceptance window must reflect the specific agent decision; this method does not imply that either named product meets it. See the broader agent-assist evaluation guide before expanding the test.