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leon builds --services ai-phone-agents

your phone, answered at 2am and during the rush

A clear next step for incoming calls.

Example workflow
Incoming call
Agreed rules
Answer or transfer
Illustration only. Nothing is sent.

AI can make mistakes. Unusual requests need a human handoff.

From $1,000 · final scope and price agreed in writing

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Scope, examples & what is included

when your team is busy, a missed call can mean a missed booking. an ai phone agent can help with routine questions while staff focus on customers.

we define which calls it can handle — hours, booking, status checks — and when it should transfer or take a message. those rules are agreed with you and tested before launch. ai can make mistakes, so important decisions stay with a person.

Does this sound familiar?

  • calls ring out during the rush or after close
  • one person spends half their day on 'are you open' and 'is it ready'
  • voicemail is where your leads go to die
  • the front desk can't book and answer phones at once

What we build for this

  • an agent for routine calls, with a fallback when the service is unavailable
  • booking wired into your real calendar or scheduling system
  • status lookups from your own systems where they expose data
  • staff transfer or message-taking under agreed rules
  • call summaries so you see what customers actually ask

proof, not promises

Evidence related to this service

built with the same discipline as the review desk

every ai system we ship keeps a human in the loop by design — the review desk drafts replies but a person presses send. phone agents get the same treatment.

open the related proof →

questions people ask first

Questions before starting

what happens when the ai can't handle a call?

we agree on transfer and message-taking rules before launch, including what happens when no staff member is available. the goal is reducing repetitive calls while keeping a route to a person.

what does it cost?

from $1,000 depending on what the agent needs to do — answering and booking is simpler than pulling live order status from your systems.

does it work with my scheduling software?

often, if your system exposes the data. we verify the specific integration before quoting rather than promising first.

related

Not ready to talk?