Appointment scheduling · Production
Beside helps Avery handle 125 calls a day and save 4–5 hours with an AI receptionist
The problem
Avery's inbound communication—peaking at 125 calls per day with text volumes spiking into the hundreds—created constant bottlenecks; missed calls and unanswered messages led to lost deals, delayed projects, and unresolved repair issues.
Workflow diagram · grounded in source
1
Inbound call arrives
trigger
“Calls are answered while he's in meetings, coordinating across teams, or handling urgent issues in the field”
2
AI receptionist answers
ai_action
“Avery uses his own voice for the AI receptionist, creating afamiliarandreassuringexperiencefrom the first ring. Callers don't feel like they've hit a dead voicemail—they feel acknowledged, guided, and taken seriously.”
3
Intake captured and actions taken
output
“It scheduled appointments, sent me text messages, and gave me clear notes”
4
Prior notes reviewed
human_review
“When an unfamiliar number calls back, he can review prior notes and immediately understand who the person is and what the issue was”
5
Nightly daily recap
output
“Daily recaps have become a simple control layer, surfacing follow-ups that would otherwise disappear into noise.”
Reported outcome
With Beside, calls are answered while Avery is in meetings, appointments are scheduled, and structured notes are captured automatically.
Avery estimates saving four to five hours per day, and the system has expanded to a second phone number dedicated to dispatch.
Reported metrics
Daily call volume handled125 calls per day
Peak inbound text volume500–600 texts at peak
Reported stack
Beside
Source
https://www.beside.com/customers/affordable-housing-ops-at-nyc-scale-how-avery-uses-beside-to-handle-125-calls-a-day-protect-focus-and-keep-tenants-and-teams-moving
Read source ↗Frequently asked questions
What did this team achieve with this AI workflow?
With Beside, calls are answered while Avery is in meetings, appointments are scheduled, and structured notes are captured automatically.
What tools did this team use?
Beside.
What results were reported?
Daily call volume handled: 125 calls per day; Peak inbound text volume: 500–600 texts at peak (source-reported, not independently verified).
How is this appointment scheduling AI workflow structured?
Inbound call arrives → AI receptionist answers → Intake captured and actions taken → Prior notes reviewed → Nightly daily recap.