Skip to content
Fallback LabsFallback Labs
Start free

AI Automation Services

If it happens every week, it can happen on its own

AI automation services for the work that repeats: the reports, the follow-ups, the copy-paste between systems. The jobs your team does the same way every week, done without anyone doing them.

Learn More

Prefer to talk? Call +971 55 414 1234

The stack we build on

Models

AnthropicGoogle Gemini

Agent protocol

Model Context Protocol

Built in

TypeScript

Runs on

Next.jsVercel

Memory

PostgreSQLSupabase

The repetitive jobs run themselves, the same way every time.

The short version

AI automation is software that does a repetitive job on its own, start to finish. Something triggers it, a fixed set of steps runs, and the work is done with nobody touching it. The AI part is what lets it cope with the messy real inputs that older rule-based automation choked on. The point is not cleverness; it is that the same job gets done the same way, every time, whether or not anyone remembered.

This is the floor our agents are built on. An agent is automation plus judgment: it reads a situation, decides, and handles the exceptions. If your recurring job never needs anyone to decide anything, you want automation, and you should not pay for judgment you will not use. The moment it does have to make a real call, it becomes an agent, and if the actual problem is that nothing is connected, that is integration. We will tell you which of the three you need.

The reason to trust that call is that we have built these. The admin behind Flaw Cars runs itself, GetParts hands data between systems with nobody retyping it, and BeSoji assigns jobs and issues invoices on its own. Real recurring work, in the grid below, each one a link to what actually happened.

The work that repeats, handled

Not a demo. Real recurring jobs we built to run on their own, each one linked to what actually happened.

01

The job on a trigger

Something fires, a day of the week, a new record, an incoming invoice, and a fixed set of steps runs to the end without anyone starting it. That is the whole shape of an automation: a trigger, the steps, done. The skill is in choosing the jobs worth wiring this way.

02

Admin that runs itself

Behind Flaw Cars, dealer creation, VIN decoding and the WhatsApp distribution of approved listings all run themselves. The work that used to be someone's afternoon now happens on its own, the same way each time.

See the build
03

Data that hands itself off

GetParts turns what a customer sends into clean data passed straight to the backend queue, so nothing gets retyped between systems, and every request runs on a timer so listings are prepared on time, every time.

See the build
04

Jobs that route and bill themselves

BeSoji locks a booking slot the moment it is picked, assigns the job to a free inspector automatically, and issues the invoice with no manual chasing. Scheduling and billing that used to need a person now route themselves.

See the build
05

When it has to decide, that's an agent

If the job stops being identical every time and starts needing a real call, an exception judged, a messy case handled, you have crossed out of automation and into an agent. That is a different build, and here is its door.

AI agent development

How it works

First we find the jobs you do the same way every week, then we make them stop needing you.

01

We find what repeats

We look for the jobs your team does on a rhythm and does the same way every time: the Monday report, the follow-up to every new lead, the numbers copied from one system into another. Those identical, repeating jobs are what automation is for, and spotting them is most of the value.

02

We build the fixed run

We wire the trigger and the exact steps on your stack, in your accounts. Before anything runs on its own, we agree what it is allowed to do unattended and what still needs a human in front of it. The steps are fixed on purpose: a job that surprises you is not the job you asked for.

03

It proves itself on one real cycle

It runs on one real Monday, one real invoice run, one real batch, with you watching and its output shown rather than sent. It earns the right to run unattended by being boringly correct on real work, not on a tidy demo, first.

04

It runs on its own, and shouts when it can't

Then it runs quietly in the background, on its trigger, with nobody watching. The one thing it will never do is fail in silence: if an input it did not expect turns up or a system it needs is down, it stops and tells you, loudly, with a log of exactly where. Runs silently, fails loudly.

It doesn't drift

Our agents are built to get sharper the longer they work. An automation is the opposite, and that is exactly the point. The worth of a job that runs itself is that it runs the same way on the ten-thousandth cycle as on the first: it never gets bored, never skips the Friday because someone was on leave, and never quietly changes what it does when you are not looking.

So we build these to be dull and dependable, not clever. Same trigger, same steps, same output, until the day you ask us to change them. Reliability you can stop thinking about is worth more than a workflow that impresses you once and then surprises you in month three.

Meet the Nine Brains

What it costs

Whatever you need from us is priced through the same three Build tiers. No separate rate card, no surprises.

Questions, answered

What is AI automation?

It is software that does a repetitive job from start to finish on its own. Something triggers it, a fixed sequence of steps runs, and the work is done without anyone touching it. The AI part lets it handle the messy, real inputs that older rule-based automation could not, but the value is the repetition: the same job, done the same way, every single time.

What is the difference between automation and an AI agent?

Automation runs a fixed job the same way every time and needs nobody to decide anything. An agent makes calls: it reads a situation, chooses what to do, and handles the exceptions. If your recurring job never needs a judgment, automation is cheaper and more reliable, and you should not pay for an agent's decisions you will never use. When the job does need judgment, that is exactly when it becomes an agent.

How much do AI automation services cost?

It depends on how many jobs and how tangled they are, which is why we scope before we quote. Our build tier starts at $2,500 one-time for a job wired to run itself, and if you want us to keep running and watching your automations that is Growth Partner, an introductory $1,250 a month that renews at $2,500 a month. A single clean recurring job sits near the bottom; several jobs across several systems sit higher.

Do we own the automation?

Yes. The code that runs your jobs is yours, in your accounts, on your infrastructure, and it keeps running if we ever part ways. A simple deterministic automation often has no brain in it at all, so there is nothing to license: it is just your code doing your job. Where a build does include one of our brains, its structure is licensed to you while the data in it and everything it learns stay yours, on the terms our pricing page sets out.

What happens when an automation breaks?

It cannot get a decision wrong, because it makes none. What it can do is fail to run: an input it did not expect, or a system it depends on being down. When that happens it stops and tells you, loudly, with a log of exactly where it stopped, rather than half-finishing quietly and leaving a mess. A broken automation is a caught halt, not a silent one.

Everything else we do

The full catalog on the Build page

Start with the job that eats your week.

Prefer to talk? Call +971 55 414 1234