AI operations for small service businesses

Ask Amr what to automate first.

Amr interviews you like a seasoned operations consultant, checks what you say against your own email, CRM and books, and builds only the automations that fix what is actually costing you money. Anything that goes to a customer waits for your OK.

No pricing or design until the problem is clearYou approve every customer messageStop any agent with one switch
Discovery resultExample · HVAC company, 5 staff
You asked for
A chatbot for the website
What's actually costing youQuotes wait on the owner to price them, often at night.First replies already go out the same day. Two or three jobs a month go to faster competitors.
3.4 daysfrom walkthrough to quote sent. Checked against the company's HubSpot data.
Do nowDraft quotes from the price sheet; owner approves each price
Do laterInvoice reminders, once the office manager walks us through real cases
Leave itCommercial bids stay with the owner
Illustrative example of a findings summary, not a customer result.
Why most AI projects stall

The tool you ask for is rarely where the money leaks.

Owners usually arrive with a solution in mind. The real problem tends to sit one step earlier: a reply that waits, a quote that stalls, a follow-up nobody owns. Automating the wrong step makes the mess faster.

Asked forA social media botFoundNew leads wait two days for a callback
Asked forAn AI receptionistFoundNo-shows nobody reminds the day before
Asked forAutomatic invoicingFoundBilling errors that stop customers paying at all
How it works

Interview first. Build second. Ask before acting, always.

  1. The interview

    About 30 minutes. Amr asks what made this urgent, gets beneath what you asked for, and lands the number that would prove a fix worked.

  2. Map and score

    Amr maps how the work really flows and scores each step for how much AI can safely do.

    Plain automationAI drafts, you checkStays human
  3. A plan you agree to

    Every idea gets one call: do now, do later with the blocker named, or leave it with a person. You get a findings document you can share.

  4. Agents that ask first

    Amr builds the do-now agents, tests them on your last few real cases, and sends drafts to you in Slack or email until they've earned more freedom.

What makes it different

It checks the facts, and it brings in the people who know.

Your data keeps the interview honest

Connect Gmail, Google Calendar and Drive, HubSpot, QuickBooks, Stripe or Slack. When you say "we always reply the same day," Amr shows you what your inbox actually says, and you decide what's true.

Small quotes usually go out in a day.
Your HubSpot data shows 3.4 days on average from walkthrough to quote, and about half take longer than two. Does that match what you see?
Checked against your HubSpot data

The person who runs it gets a say

The owner rarely knows every step. When you say "Priya would know," Amr sends Priya five short questions. Her answers can move an idea up the list, or add a rule every agent has to follow.

Priya · answered by inviteI send reminders at 7, 14 and 30 days. If someone questions a bill, I fix it first and never chase it.
Invoice reminders move to Do now. I've added Priya's rule: never chase a bill the customer has questioned.
What Amr won't do

Protecting you from bad automation is part of the job.

Some steps should stay with a person no matter how good the tools get. Amr says so out loud, and turns your boundaries into rules every agent follows.

  • Message your customers without your OKEvery customer-facing draft waits for approval until you choose otherwise, agent by agent.
  • Set prices or offer discountsAmr can draft a quote from your price sheet. You approve the number.
  • Give legal, medical or financial adviceQuestions that need a professional's judgment go to a person.
  • Act on something it can't traceEvery fact an agent uses links back to the email, record or invoice it came from.
  • Keep running when you say stopOne switch pauses an agent, or all of them, before their next step.
  • Hide what it didEvery send is logged with who approved it and when.
Who it's for

Service businesses with 5 to 50 people and an owner who's the bottleneck.

A good fit if

  • Quotes, follow-ups or invoices wait on one or two people
  • You run on Gmail or Google Workspace
  • Your customers live in HubSpot, QuickBooks or Stripe
  • Someone recently left or cut their hours, and things started slipping

Not a fit yet if

  • You want an AI to make decisions with no one checking
  • Your work runs mainly on paper or phone calls with no records
  • You need a custom app built from scratch
Founding customers

Start with a discovery interview.

We're working with a small group of founding businesses. We run your discovery interview with you, then build and run your first automation together.

  • A findings document written for your business, with a ranked plan
  • Your first agent built, tested on your real cases, and running with approvals
  • A direct line to the team while we shape the product
Questions

Before you ask

Is Amr a chatbot?

No. Amr interviews you to decide what's worth automating, then runs small agents that do specific jobs, like drafting a quote or following up on a proposal, and ask you before anything reaches a customer.

Do I have to change the tools I use?

No. Amr connects to the tools you already run on: Gmail, Google Calendar and Drive, HubSpot, QuickBooks, Stripe and Slack. More are coming.

What happens if an agent gets something wrong?

New agents only draft. You approve, edit or discard each draft, and your edits teach it your voice. An agent earns more freedom only after a clean track record, and only when you turn it up.

What does it cost?

It depends on what we build for you. We'll walk you through pricing after your discovery interview, before anything is built.

Where does my data go?

Amr reads only what the plan needs, keeps a link from every fact to its source, and logs every action. We don't sell your data or use it to train AI models.