Every call gets a useful answer, even when your team is busy.
An AI receptionist answers routine calls, books or moves appointments, collects the details your team needs, and knows when to hand a caller to a person.
Receptionist
See the workflow in action
For front-desk and operations teams that lose calls during busy periods, after hours, or while staff are helping someone else.
Follow one request through the system.
Pick a step to see what happens and where your team stays in control.
A call comes in
The caller explains what they need in their own words.
The work your team should not have to repeat.
It needs to work with the tools your team already opens every day.
Google Calendar
Microsoft 365
HubSpot
Twilio
Salesforce
Start with a business problem, not a feature list.
Map the calls worth automating
We start with call reasons, office hours, booking rules, and the moments where staff must take over.
Write the operating rules
Your team decides what the assistant can say, what it can change, and what always needs a person.
Pilot with real call patterns
We test the handoffs, booking logic, and edge cases before the system becomes part of daily operations.
See the capacity hidden in missed and routine calls
Answer three quick questions. You can tune every assumption after you see the first estimate.
McKinsey estimates 30–45% productivity value in customer care. This calculator uses a conservative 30% starting point that you can change.
Read the Benchmark starting point source ↗FAQ
Yes. The handoff rules are part of the build, including who should receive the call and what context they need.
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