How do you decide what is worth automating?

We multiply how often the task runs by how long it takes, how many people touch it, and what a mistake costs. A task that runs twice a month rarely clears the bar no matter how tedious it is. One that runs forty times a day, gets re-typed into a second system, and produces an invoice usually does.

Do we have to replace the software we already use?

Almost never. Most of this work sits between the systems you already pay for: your accounting tool, your CRM, your scheduling software, your inbox. Replacing a system your team knows is expensive and risky, and it is rarely the reason the work is slow.

How much of our time does it take?

Plan on about two hours a week during the scoping sprint and the build: one standing call plus decisions over email. We need your judgment about the business and access to the systems, not your evenings.

What happens when the automation gets something wrong?

It will, so we design for it up front: every run is logged, anything the system is unsure about goes to a person instead of guessing, and you get an alert rather than a silent failure. We would rather hand fifty edge cases a week to a human than quietly file them wrong.

Who owns the automation and the accounts it runs on?

We do, by default. The code, hosting, and service accounts live with us so you never have to run infrastructure. Whenever you want it in house, we transfer everything to accounts you own for a one-time fee.

AI Automation for Small Businesses

We are an AI automation consultant for small businesses that run on email threads, spreadsheets, and one overloaded operations person. The work usually looks unglamorous from the outside: document intake that reads, files, and routes itself; an assistant trained on your own product documentation; reporting that compiles overnight instead of every Friday afternoon; the same customer details stopping being typed into four systems.

It is deliberately narrow. We do not sell a platform or a seat license, and we will talk you out of the project when the payback is not there. If you are still comparing firms, the questions worth asking any automation consultant apply to us too, and the tiered approach we use for invoicing shows how we decide what deserves custom work at all. Every engagement is a fixed quote produced by a scoping sprint, never an hourly meter, and the pricing page explains how the number gets made.

The test we run before quoting anything

Automation pays for itself on volume and error cost, not on how annoying the task feels. Four numbers decide it:

How often it runs. Daily beats weekly by an order of magnitude. A monthly task almost never clears the bar.
How long it takes each time, including the context switch and the corrections, not just the typing.
How many people touch it. Every handoff is a place where work waits and details get dropped.
What a mistake costs. A wrong invoice, a missed renewal, or a compliance slip changes the arithmetic completely.

A quoting process that runs forty times a week, passes through three people, and produces a document a customer pays against is worth automating. A quarterly report that takes an afternoon is not, however much you dislike the afternoon.

What we will not automate

Turning down work is part of the job. We say no when:

The process is broken. Automating a bad process produces wrong output faster and makes the mess harder to see. Fix the process on paper first; sometimes that is the whole project.
Your existing tools already do it. A surprising share of what people want built is a feature already sitting unused in their accounting or scheduling software. Turning it on is a support ticket, not an engagement.
It is a $500 problem. If the task costs a few hundred dollars a year in time, do not hire us for it. That is a real answer and you should expect to hear it on the call.
The judgment is the point. Pricing an unusual job, handling an unhappy customer, deciding who to hire. A model can draft, but it should not decide.
Nobody can say what correct looks like. If two people in the business disagree about the right answer, no system can be right either.

We build on the systems you already pay for

The first question is never which tools to buy. It is where the source of truth lives today and what already has a usable interface. Your accounting package, your CRM, your field service or project tool, your document storage, your inbox: most work connects those, adds the judgment step that used to require a person reading something, and leaves the systems your team knows in place.

Where a language model earns its place, it goes in for the part that genuinely needs reading or writing: pulling structured details out of a supplier PDF, drafting the reply a person then approves, classifying an inbound request. The rest is ordinary software, and it should be, because ordinary software is cheaper to run and easier to fix at two in the morning.

How the engagement runs

Every project starts with the same scoping sprint: we map the workflow, agree what correct means, and produce a fixed quote with a delivery date. Plan on 3 to 8 weeks for most automation projects, and about two hours of your week while it is running, which is one standing call plus decisions over email. You get a working demo every Friday.

After launch we keep it running: monitoring, the API bills, the model and dependency changes that arrive whether or not you were planning for them, and a monthly note in plain language about what changed. Code, hosting, and accounts sit with us by default so you never manage infrastructure, and transfer to your own accounts for a one-time fee whenever you want them. The process page walks through all five stages.

AI automation inside the business you already run

The test we run before quoting anything

What we will not automate

We build on the systems you already pay for

How the engagement runs

Questions we hear about automation

Start with the dullest problem on your desk.