01VOICE
ON CALL · 00:42“Tuesday at ten works.”
Voice receptionist
Answers in your business name, quotes from your price list, books into your calendar, and transfers when someone asks for a person.
The phone rings after five. Nobody was there.
Until now.
Day 1
We plug into your phone line, site, and calendar. Nothing changes for your customers yet.
Week 2
It is answering the phone, nights and weekends included. Every call is transcribed and logged in your portal.
Day 90
It knows your pricing, your schedule, and how you talk. You read the summary, not the inbox.
The curve is a schematic of the first ninety days, not measured data.
Fig. 02 — What we build
Six systems
Start with the one that answers the phone. Add the rest when the first one has paid for itself.
Illustrative
The screens inside these tiles are mock-ups drawn to show what each system does. The conversations, counts and invoice numbers in them are made up.
02WEB
Do you do same-day estimates?
Yes, before 3 PM. Want Tuesday or Wednesday?
Website assistant
Reads your whole site once and answers visitors like your best salesperson would, then captures the lead before they leave the page.
03SMS
T+0Missed call
T+1 MINText sent
T+1 DAYNudge
BOOKEDTue 10:30
Lead follow-up
Missed call, form fill, or quote sent: the reply goes out in under a minute and keeps going, politely, until they book or say stop.
04CONTENT
Content engine
Drafts posts, captions, and emails from the photo and video we already shot for you. You approve in the portal, it schedules.
05INTERNAL
SOURCE · INVOICE #1187 · MAR 14
Internal copilot
One place your team can ask anything about your invoices, jobs, and files, with the source attached to every answer.
06CUSTOM
Custom models
When the off-the-shelf tool can't do the job, we train one on your data and ship it inside the software you already use.
Fig. 03 — First 30 days
Live in four weeks
Every build is quoted on its own, because no two are wired the same. The first discovery call is free: you see the scope and the price before anything gets connected.
Map the calls
We listen to a week of your real calls and chats, then write the script the way you would say it.
Wire the tools
Phone line, website, calendar, CRM, and invoicing connected inside accounts you own.
Train and test
Your team calls it, breaks it, and we fix it. It goes live only after you sign off on the transcripts.
Watch it work
Every conversation lands in your portal. We review the misses monthly and tighten the script.
A human is one word away
Say “person” and the call transfers. Anything it isn't sure about gets flagged to you instead of guessed.
Your accounts, your data
Everything runs inside accounts you own. Cancel and it all stays with you, including every transcript.
Logged, every time
Every call, chat, and text lands in your client portal with a summary and a recording. Nothing happens you can't read.
Wired into
Google Calendar
HubSpot
Twilio
QuickBooks
Stripe
Slack
Gmail
Your CRM
Questions
- What does an AI build cost?
- Every build is quoted, because an assistant that answers questions and an agent that quotes and schedules jobs are different amounts of work. The first discovery conversation is free, and you leave it knowing the scope and the number before committing to anything.
- What happens to my customer data?
- Your conversations feed back into your own build, which is how the assistant gets better at your business the longer it runs. It is trained on your services, your pricing and your policies, so the answers it gives are the answers you would give. If you need specific handling written into the agreement, say so on the discovery call and we will put it in writing.
- What happens when the AI does not know the answer?
- It logs the gap instead of bluffing. Every question it could not handle is recorded and analysed for what was missing, which becomes the next round of improvements, so the assistant gets measurably better rather than repeating the same failure.
- How do we start?
- With a free discovery conversation. We look at where your team answers the same question over and over, and say honestly which of those AI is good at and which are not worth automating yet.