All case studies
Operations shaped by real callsRichmond, VA

TUNED BY THE CALLS THEMSELVES

Richmond's setup came from listening — to idle moments, to anonymous callers, to orders that almost did not make it. We worked with Ram to adjust the system based on what real callers were actually doing.

Part of the same multi-location rolloutRead the rollout overview
Ram
Owner — Richmond
The problem

THE CALLS TOLD US WHAT TO BUILD

Some of the most useful changes did not come from a feature request — they came from reviewing real Richmond calls and noticing where they stalled, where they dropped, and where an order was clearly intended but did not land cleanly.

Idle nudges

When a caller goes quiet, the AI generates a short, contextual nudge instead of letting the conversation stall — built from watching where real calls lost momentum.

Anonymous callers, handled on purpose

Calls from blocked or anonymous numbers get their own path: a clear message and a deliberate transfer rule, with sensitive details masked, so an anonymous caller is a decision, not an edge case.

Off-hours and smart transfers

Live-agent transfer stays available even outside business hours, and auto-transfer rules account for closing time and recent orders, so the call goes to a person at the moments that matter.

Order recovery when intent is clear

When a call ends with a clear order that did not land cleanly, a recovery process reconstructs the cart from the call's audio, so a detected order does not quietly disappear.

What changed

Conversations kept moving with contextual idle nudges

Anonymous callers routed deliberately, with details masked

Live-agent transfer available off-hours and around closing time

Orders reconstructed from audio when intent was detected

Next step

WANT THIS FOR YOUR MENU?

Book a meeting and we will walk through how AI Voice HQ would handle your menu, phone flow, and handoff rules.