Which tools do you build automations with?

It depends on the job: custom code (TypeScript, serverless functions) when reliability and cost matter most, or tools like n8n and Make when your team wants to edit the flow themselves.

Will AI make mistakes?

It can, which is why every automation includes validation and, where the stakes are high, a human approval step. We measure accuracy on your real examples before launch.

What does it cost to run?

Running costs are estimated during the process map and are usually a small monthly amount for hosting and AI usage.

Automations run on your accounts, with the minimum access needed. Sensitive data isn't stored outside your systems unless the workflow requires it and you approve it.

AI Automation

Automate the work that slows your business down.

A short sprint that turns a repetitive process (content, leads, support, reporting, data entry) into a reliable automated workflow powered by AI.

Apply for a AI Automation project See the process

First step: 15-minute Project Fit Call
Process: 4 clear stages
You own: Code, accounts and data
Quote: Fixed, after scoping

Fit

Is this right for you?

An honest look at who gets the most out of this, and who doesn't.

Who it's for

Teams spending hours a week copying data between tools
Creators and agencies producing content at volume
Businesses that want AI in daily operations without hiring an AI team

Not a fit if

Processes that change every week and haven't been defined yet
Automations that would make decisions requiring legal or medical judgement

Why it works

What you get beyond the code.

Hours back every week

We start with the task that costs you the most time and automate it end to end, with a human check where it matters.

Works with your tools

Connects to the apps you already use (Google Workspace, Notion, CRMs, social platforms, Slack) instead of forcing a new system.

Reliable, not fragile

Error handling, retries, logs and alerts are part of the build so the workflow keeps running when you're not watching.

Clear costs

You'll know what the automation costs to run each month before we build it, including AI usage.

Process

From first call to launch.

Every stage has a clear output, so you always know where things stand.

115 minutes
Project Fit Call
We pick the process with the biggest payoff and check it's a good fit for automation.
21–3 days
Process map
Every step, input, tool and decision is mapped so we know exactly what the automation needs to do.
31–3 weeks
Build & test
The workflow is built and tested on real examples from your business, with review points where accuracy matters.
42–3 days
Launch & train
It goes live, your team gets a short walkthrough, and you get documentation for changes later.

Deliverables

What you walk away with.

A documented, automated workflow running on your accounts
AI prompts and logic tuned on your real data
Error handling, logging and failure alerts
Simple dashboard or report where it's useful
Recorded walkthrough and written documentation

What I'll need from you

Requirements.

A repeatable process you can describe step by step
Access to the tools involved (or an admin who can grant it)
10–20 real examples of the inputs and expected outputs
Someone to review results during testing

Every project is scoped individually. You'll get a fixed quote after the Project Fit Call.

FAQ

Common questions.

Something else on your mind? Send me a message.

Ready to start your AI Automation project?

The application takes about 3 minutes. I read every one personally.

Start your application

Also available

SaaS MVP Development

Turn your idea into a launched SaaS product.

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