AI automation for the work nobody should be doing by hand
AI automation means having software do the repetitive judgement work that currently sits in someone's inbox: reading an inbound enquiry and routing it, drafting the follow-up, chasing the unsigned quote, extracting data from a supplier PDF, assembling the weekly numbers. We build these on n8n or Make with the major AI APIs behind them, so each automation is a visible workflow you can inspect and edit rather than a black box.
For businesses in the United States and Canada · Written by Bob Gabule, Founder · Updated
The problem
Someone in the office spends the first ninety minutes of every day copying information between systems, and the last thirty chasing people who did not reply. None of it needs a human judgement call, but all of it needs someone to notice. So it gets done late, or not at all, and quotes go cold.
What you get
- Automations that run on your own n8n or Make account, so you can see every step and keep them if we part ways
- Human approval gates on anything that sends outward — nothing emails a customer or moves money without a person signing off, unless you explicitly decide otherwise
- Error handling and alerting, because a silent automation that stopped working two weeks ago is worse than no automation
- A written runbook per automation: what it does, what it touches, how to turn it off
- Logging of what ran and what it decided, so you can audit outcomes
How it works
Find the expensive repetition
We track where staff time actually goes for a week and rank tasks by hours × how mechanical they are. The top of that list is where automation pays; the bottom is where it becomes a maintenance liability.
Automate one thing, watch it
The first automation runs alongside the manual process, not instead of it, until its output has been right often enough that you trust it. That trust is the whole product.
Hand over the controls
We walk your team through editing and pausing each workflow. Automation you cannot turn off is a hostage situation, not a tool.
A good fit if
- Businesses with a known repetitive process and someone who can describe its rules
- Teams already paying for tools that almost integrate
- Owners who want hours back rather than a headcount cut
Not a fit if
- Processes nobody can explain — automating an undocumented mess just makes the mess faster
- Anything where a wrong output has legal or safety consequences and no human reviews it
- One-off data cleanups; that is a script, and we will tell you it is a script
Questions we get asked
What is the difference between AI automation and a regular automation?
A regular automation follows fixed rules: when a form is submitted, add a row and send a template. AI automation handles the steps that need interpretation — reading an unstructured email to decide urgency, summarising a call, extracting fields from a PDF that has a different layout every time. Most useful builds are mostly regular automation with AI at the two or three steps that genuinely need it. Using a language model where an if-statement would do is just a slower, more expensive if-statement.
Will AI send wrong information to my customers?
It can, which is why anything customer-facing gets a human approval step by default. Drafts land in a queue for someone to approve, edit, or reject. Once you have watched a particular automation be right for a few weeks, you can decide to let specific low-risk categories send themselves.
What does it run on, and what does that cost to keep running?
Usually n8n or Make for the workflow layer plus a per-token AI API cost. The workflow platform is a fixed monthly subscription in your name; the AI cost scales with volume and for most small-business automations is small — typically dollars to low tens of dollars a month, not hundreds. We estimate it before building and show you the actual numbers after a month of real use.
Do you take over the automations we already have?
Yes, and the first thing we usually find is that half of them silently stopped working. Auditing and instrumenting what exists is often cheaper than building something new.
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