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AI that does one job the way you would

An agent is AI that carries a task from start to finish: pricing a job, dispatching a tech, checking stock, running intake. It follows your rules and asks a person before anything involving money goes out.

Free audit. A real engineer, in English or Spanish.

What it does.

AI that does one real job in your business, by your rules.

Quotes from your price book

It reads the request, whether that is a description, photos or measurements, and drafts a quote from your real prices and rules. A person approves it before the customer sees it.

Dispatch and scheduling

It matches each job to the right tech or crew by skill, location and the day's calendar, then texts everyone the address and the details.

Intake that knows when to stop

It collects the case, the vehicle, the patient or the project, checks for conflicts or anything that rules the job out, and books the next step or routes it to a person.

Inventory and parts checks

It looks up stock or supplier availability before a job gets booked, so nobody promises a part you do not have on the shelf.

Follow-ups that take judgment

It reads the history on a customer or a job and decides what to send next, within the limits you set.

Your approval on anything with money

Refunds, discounts, deposits and quotes above a limit you choose wait for a human tap. The agent prepares it; a person says yes.

Where it pays off.

Work that waited on one person

When quoting or dispatch lives in one person's head, everything stalls when they are busy, sick or on vacation. An agent keeps it moving with the same rules.

Answers while the customer still cares

Quotes and schedules go out while the customer is still interested, not after they have already called someone else.

The same checks, every time

The agent checks the price book, the stock, the calendar and the approval limit on every job. The mistakes that come from rushing at 5 PM drop off.

More volume without another desk

The agent takes the repeat work and your people handle the exceptions, so growth does not automatically mean a new hire for every task.

How it works.

  1. Step 1Free

    Free AI audit of one job

    We pick one task, watch how your team does it today and write down every rule, exception and judgment call. You get the agent's job description and a fixed quote.

  2. Step 2

    Build it with guardrails

    We connect it to the systems it needs and set hard limits: what it can do alone, what needs approval and what it must never touch.

  3. Step 3

    Shadow mode first

    The agent drafts, a person approves everything, and we compare its work against your team's. It gets more room only when its drafts keep coming out right.

  4. Step 4

    Review its decisions monthly

    You get a report of what it handled, what it escalated and why, and we adjust its rules as your prices, staff and policies change.

Connects to what you already use

Existing booking or CRM software through its APIQuickBooksStripeGoogle CalendarGmailOutlookSpreadsheetsPhone lines and text messaging

Questions owners ask.

What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent does work: it looks things up in your systems, makes a call inside your rules and takes an action, like drafting a quote, booking a tech or updating an order. It still checks with a person whenever the rules say to.
Can it spend money or give discounts on its own?
Only if you allow it, and only up to a limit you set. By default, anything involving money, such as quotes, refunds, discounts and deposits, is prepared by the agent and sent only after a person approves it with one tap.
What if it makes a bad decision?
Every action is logged with the reason behind it, so you can see exactly what it did and why. Agents start in shadow mode with a person approving everything, and take on more only once their work matches your team's. If something looks off, we tighten the rule that day.
Who builds and maintains the agent?
Our own full-stack engineers, who work directly with your team and come on site when the project needs it. You own the agent, its rules and its data, and you get a plain record of every change we make to it.
Do I need to be technical to manage it?
No. You manage it like a new employee: you see what it did, approve what needs approving and tell us when a rule changes. Simple updates, like a new price or a different approval limit, you can make yourself.
How much does a custom AI agent cost?
It depends on the job, how many systems it touches and how much approval it needs. We scope one agent at a time in the free AI audit and give a fixed quote, so you never pay for an open-ended project.

Pairs well with.

AI workflow automation

Scheduling, quotes, invoices, reminders and data entry, done for you

See ai workflow automation
Custom software with AI built in

Booking, POS, CRM, apps and portals built around how you work

See custom software with ai built in
AI consulting and audit

A free AI audit, then a plan with a fixed quote

See ai consulting and audit
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