Test the conversation before you trust the deployment.
A 60-agent California brokerage ran Livia against its own lead data in a live mirror demo. The purpose was not to show a rehearsed script—it was to expose the curveballs.
The quote below came from the brokerage owner during the live test. The company identity remains anonymized because publication consent is not complete.
“I swear to God that was one of my clients. It handled the curveballs better than 90% of my team would on a first call.”
A serious evaluation begins with the difficult examples.
Use the brokerage’s own lead history and operating context in a controlled, non-live test.
Select examples with ambiguity, incomplete information, objections, and unexpected turns.
Let leadership see how Livia responds, asks, remembers, and escalates without editing the output afterward.
Evaluate conversation quality, brokerage voice, risk, and the exact moment a human should enter.
Only then define whether a supervised pilot is warranted and which workflow belongs in scope.
Quality is more than sounding human.
Understanding
Did Livia identify what the person actually meant, including uncertainty and implied context?
Judgment
Did the next question or action fit the situation rather than a rigid script?
Voice
Did the interaction feel consistent with the brokerage’s service standard and market?
Memory
Did it carry prior details forward without repeating or contradicting the record?
Escalation
Did it recognize the moment when a human expert should enter or approve?
Control
Could leadership inspect, interrupt, adjust, and understand what happened?
A live quality test is evidence of capability—not a revenue case study.
The brokerage owner observed Livia handle difficult first-conversation behavior against familiar data in real time.
It is not a claim about conversion, revenue, team-wide performance, or a deployed production result.
The quote and brokerage size are published in anonymized form. The company identity remains protected pending consent.