The automations worth building first, industry by industry

Your industry runs on the same handful of repeat jobs

Every business thinks its chaos is unique. It isn't. Scratch the surface of an e-commerce brand, a law firm, or a plumbing company and you find the same shape underneath: a small set of high-frequency jobs that eat hours and follow rules. The names change (a WISMO ticket, an intake form, a dispatch call) but the pattern is identical. Repetitive, rule-based, and begging to be handed to a machine.

What differs is which jobs matter and what they're wired to. A Shopify store lives or dies on order status and returns. A recruiting agency drowns in CV screening and scheduling. A property manager burns days on maintenance requests and chasing rent. Automate the wrong one and you save twenty minutes a week. Automate the right one and you give a team back a full day. This hub is the map: the jobs worth automating first in each sector, and what they're actually worth in hours and euros.

The first workflow to automate, sector by sector

We don't open with a strategy workshop. We open with the one workflow in your industry that has the highest volume, the clearest rules, and the most obvious cost per run. That is where an automation pays back in weeks, not quarters, and where it earns the trust to automate the next thing.

A few of the patterns we ship most often:

None of these need a rip-and-replace. We plug into the tools you already run, your Shopify, your HubSpot, your ServiceTitan, your Google Workspace, and connect the gaps with n8n, Make, or custom code. The stack bends around your business, not the other way around.

• E-commerce and retail: WISMO (where-is-my-order) replies, returns and refund processing, review requests, and stock alerts wired to your 3PL.
• Agencies and professional services: lead intake and qualification, proposal drafting, client onboarding sequences, and automated status reports.
• Real estate and property management: maintenance request routing, tenant screening, rent reminders, and listing syndication across portals.
• Healthcare and clinics: appointment reminders and no-show recovery, intake form processing, insurance eligibility checks, and recall campaigns.
• Logistics and field services: job dispatch, route and ETA updates, proof-of-delivery capture, and invoicing the moment a job closes.

From playbook to a machine that runs itself

A playbook is a bet. A running automation is proof. We take the workflow, map every step a human does today (the clicks, the lookups, the copy-paste between six tabs), and rebuild it as a pipeline that runs on its own. LLMs read the messy inputs (an email, a PDF, a voice note), the logic applies your rules, and the automation writes the result back to your systems.

The tools follow the job, not our preferences. Simple triggers and app-to-app moves run on Make or Zapier. Anything with branching, loops, or real data wrangling runs on n8n, where we can self-host and keep your data in the EU. When a workflow needs something off-the-shelf tools can't do, we write custom code. The customer never sees the plumbing. They see a job that used to take a person an hour now finishing in eight seconds.

And we build it to be watched. Every run is logged. Every exception routes to a human instead of failing silently. You get a dashboard showing what ran, what it saved, and what got escalated, so you're never handing work to a black box.

Real hours saved, and you pay when it works

We don't sell projects that end in a slide deck. We ship automations that run, and we tie our fee to them running. If a workflow doesn't do the job in production, you don't pay for it. That's the whole model, and it only holds because we pick workflows where the ROI is countable before we start.

The math is usually blunt. A support inbox handling 400 WISMO tickets a month at eight minutes each is 53 hours of someone's life. An automation takes that to near zero and costs a fraction of one salary. A clinic that recovers even 20% of its no-shows adds revenue that dwarfs the build. We scope to the number first: how many runs, how many minutes each, what a mistake costs. If the numbers don't clear the bar, we tell you before we build, not after.

When we'll tell you not to automate

Automation isn't free and it isn't always right. If a workflow runs five times a month, a machine to handle it costs more than it saves. If the rules change every week, you'll spend more maintaining the automation than doing the work by hand. And if a step genuinely needs human judgement (a sensitive negotiation, a medical call, a high-stakes exception), that step stays with a person. We'll say so out loud.

The honest version of industry automation is a mix. We automate the repetitive 80% and hand the tricky 20% to your team with better context than they had before. A studio that promises to automate everything is selling you a maintenance nightmare. The goal isn't a fully autonomous business. It's giving your people back the hours they lose to work a machine should be doing.