The automation agency.Built for your company.
An AI automation agency that builds the workflows for you, not a course on starting your own. We connect the tools your company already runs on, so data moves between them with nobody copy-pasting, and we drop in an AI step where it genuinely saves time. Built on n8n, Make and Zapier, with a safety net so it keeps running after launch. Fully remote.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
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GeminiFour parts to automation that actually sticks.
Plenty of automation projects quietly die a few months in: an app changed, something broke after an update, and an odd case nobody planned for kept failing in silence. The way we work closes the four gaps that usually kill a workflow before it's paid for itself. Find what's worth doing, build it in the right tool, add a smart step where it helps, and keep watch after launch.
- Audit
We find what's worth automating
We go through the repetitive jobs your team does by hand and rank them on three simple things: how often each one runs, how much the input changes from one time to the next, and how much time or money it eats today. Most companies have five to ten easy wins sitting in plain sight, plus a few ideas that would cost more to automate than to keep doing manually. We tell you both. Nothing gets built before this.
How we pick what to automate - Build
Built on n8n, Make, Zapier
We pick the tool that fits the job, not the one we happen to like. n8n when your data has to stay on your own servers or the logic gets branchy, Make for flows you want to see laid out visually with a big catalog of app connectors, Zapier when getting it live fast beats everything else. A real example: an invoice lands in a shared inbox, it gets read, logged in your accounting tool, and the payment reminder goes out on its own.
See the tools we build on - AI inside
AI steps, where they earn it
Plenty of workflows now have an AI step in the middle: a model like Claude or GPT-4o reading an incoming support ticket, sorting it, drafting the reply, or pulling the numbers off a PDF invoice so nobody retypes them. We only drop AI in where it genuinely saves time, we check what each call costs, and we test the output before it triggers anything downstream. AI that does real work, not a chatbot bolted on for the demo.
See AI-powered automation - Monitoring
It keeps running after launch
Every workflow ships with a running log of what worked and what didn't, an alert in Slack the moment something fails a few times in a row, and a small daily dashboard showing volume and cost. So if a workflow chokes at 3am, you find out at breakfast with the exact record that broke, instead of a month later when someone notices the leads stopped coming in. The boring safety net is the part most people skip.
What we keep an eye on
The track record, and where the budget starts.
- 40+Companies automated, worldwide
Since 2024 we've built automations for more than 40 companies, from online stores to software teams to B2B services, with clients all over the map. Different tools every time, same habit: automate the repetitive work that actually costs you time, leave the rest alone.
- from $2kTo start, exact quote after the audit
Budgets start from $2,000 and where it lands depends on how many processes you want handled and how tangled the integrations are. You get the real figure after the free audit, once we've seen your setup. Small builds wrap in about a week, bigger ones run closer to six months.
- 150+Automations shipped
We've shipped more than 150 automations by now, wired into all sorts of tools, and that's really the point: the boring, repetitive tasks run themselves in the background so your team gets its hours back for the work that needs a human.
The same four steps, from messy task to running workflow.
Whether the workflow ends up living in Make, n8n, Zapier or something custom, the path to it doesn't really change. We look before we build, map it out on paper and get your sign-off, then wire it up with the monitoring baked in rather than tacked on at the end. No step gets skipped to save a week, because the skipped step is always the one that breaks later.
- First we look at every repetitive job and rank it by how often it runs and what it costs you to keep doing by hand.
- Then we map the whole workflow on paper, every step and every thing that could go wrong, and you sign off before we build anything.
- We build it in the right tool, with automatic retries so a hiccup doesn't lose your data, and a record of every run.
- We switch it on with alerts already wired in, hand your team the instructions, and stay reachable if something acts up.
Workflows that survive month three, not shiny demos that die in month two.
Half of what we find when we audit a company is a graveyard of automations that broke ages ago and nobody clocked it. We treat every workflow like real software instead of a weekend hack: it retries when an app stumbles, it logs what it does, it shouts when something's wrong, and it comes with written notes. The handover ends with your team owning it on paper, not with you needing us on speed dial to restart it.
- Every workflow retries on its own when an app hiccups, so a passing glitch never quietly drops your data on the floor.
- When there's an AI step, we track what it costs separately, so you always know exactly what the smart part of the workflow is spending.
- You get an alert in Slack the moment a workflow fails a few times running, plus a plain daily readout of volume and cost.
- We write down how it works and hand it to your team, so they run it day to day and you're never stuck waiting on us to restart something.
We rank your repetitive work, you leave with a plan.
Before we quote a thing, we spend 60 minutes going through the tasks eating your team's time and sorting them by what's actually worth automating. You leave with a ranked shortlist and a first sketch of the top workflow, yours to build in-house or with us. No pitch, just an outside read on what to automate first.
- Every repetitive task you flag, ranked by how often it runs and what it costs you
- The top three worth building, with a rough cost and the time each would save
- A plain-words sketch of the first workflow: what starts it, the steps, what happens if it fails
- A straight answer on the tasks where automating would be more trouble than it's worth
How an automation project runs with us.
Five steps, in order, nothing jumped ahead. We don't start building before the plan is signed, we don't switch anything on without the monitoring in place, and we don't bill for ongoing work before the first workflow is running on its own. Every step has a clear finish line, and you approve it before we move to the next.
- Step 1 · Free audit
We work out which processes are worth automating, and which aren't
We sit down with the people who actually do the work, whether that's sales, support, finance or ops, and go through the repetitive tasks one by one. Each gets ranked on three plain questions: how often does it run, how much does the input change from one time to the next, and how much time or money does it cost you today. Most companies have five to ten obvious candidates they were too close to notice. We're just as clear about the ones where automating would cost more headache than it saves. You leave with a ranked list and three quick wins you could ship within a month.
- Step 2 · Plan and price
We map the workflow and agree the price before building
We draw the whole thing out in plain words first: what kicks it off, every step in order, which of your tools it touches, and what happens when something goes wrong at each point. If an AI step is in there, we spell out what it does and cap what it's allowed to cost per run. None of this is code yet, it's a document someone on your side reads and signs off. The quote comes with it: budgets start from $2,000 and move with the scope, with a timeline that runs anywhere from a week to six months depending on the size of the job. Nothing gets billed before you've approved both.
- Step 3 · Build
We build it in the right tool, with a safety net baked in
We pick the tool to match the job: Make when you want the flow laid out visually with a big library of app connectors, n8n when your data has to stay on your own servers (self-hosting means the software runs on hardware you control, so nothing leaves your walls), Zapier when getting live fast matters most. Every step keeps a record of whether it worked, and every call out to another app retries on its own if it stumbles, so a five-second outage on Stripe or HubSpot doesn't lose an order. If there's an AI step, we track its cost from day one so it never surprises you on the bill.
- Step 4 · Launch with monitoring
We launch it watched, not on a hope and a prayer
The workflow goes live with the alerts already in place: a Slack message the moment it fails a few times in a row, and a louder escalation to whoever's on call if it's a critical one. There's a simple daily dashboard showing how much ran and what it cost, plus a switch we can flip in seconds to pause the whole thing if it ever starts misbehaving. And your team gets it in writing, what can break, how to roll it back, and who to call, so nobody's guessing at 9am.
- Step 5 · Support and handover
You own it, and we stick around to keep it sharp
Everything is yours, living in your own accounts, so you're never held hostage by the agency that built it. We train your people to run the day-to-day, keep half an eye on the workflows so you hear about a snag before your customers do, and check in once a month: what to extend now there's a new edge case, what to retire because the volume dried up, what to move over when a better tool or model shows up. Want to pull the whole thing fully in-house later? That was always the plan. Automations get sharper month by month instead of quietly rotting in the background.
What a $2,000 automation project actually looks like.
To make it real, here's the shape of a typical small project, the kind that starts at the entry budget. Say the job is quotes: they come in by email, someone retypes them into the CRM, chases the client three days later, and half the time forgets. It's a made-up example, not a named client, but it's the sort of thing we set up all the time. Walk the steps below and you'll see exactly where your money goes.
- The free 60-minute audit lands on this one process, because it runs daily and quietly loses deals.
- We map it on paper: the email arrives, the details get read, a new deal appears in the CRM, the salesperson gets a Slack nudge. You sign off before anything is built.
- We build it in Make or n8n over a week or two, with an AI step reading the email so nobody retypes a thing, and auto-retry so a brief outage never drops a quote.
- It goes live with an alert if it ever fails twice in a row, and your team gets a one-page note on how it works and how to pause it.
The questions we get before every project.
Do you build the automations for us, or is this about starting an agency?
We build them for you. A lot of people searching for an automation agency right now are actually looking to start one themselves, and that's not what this is. We're the team you hire to set up the workflows inside your company: connecting your tools, moving data between them without anyone touching it, and dropping in an AI step where it earns its place. You end up owning everything we build, running in your own accounts.What does an AI automation agency actually do?
It connects the tools your business already runs on so information moves between them on its own, with no copy-pasting in the middle. Say a form gets filled in: the details land in your CRM, the right salesperson gets pinged, and a follow-up email schedules itself. The AI part means a model can read, sort or write inside that flow, like reading an invoice and logging the numbers, or triaging a support ticket. We figure out which of those jobs are worth automating, build them, and keep them running.What's the difference between an automation agency and an AI agency?
An automation agency wires your existing tools together so work flows between them hands-off. An AI agency builds features around a model that reads, writes or decides things, often inside a product you're selling. In practice the line has mostly dissolved: most automations now have an AI step somewhere in the middle, and most AI features lean on automation plumbing underneath. We do both, because it's the same craft either way: work out what's worth building, map it, build it, watch it.How much does an automation agency cost?
Budgets start from $2,000 and climb depending on how many processes you want handled and how tangled the connections are. We don't sell fixed packages, because the right scope really depends on what your setup looks like, which is what the free audit is for. After it you get a precise quote tied to the actual work, plus a timeline somewhere between a week and six months. One thing to watch while you shop: be wary of anyone quoting per workflow before they've checked whether those workflows are even worth building.n8n, Make or Zapier: which one should we build on?
Depends on what matters most to you. Make is great when you want to see the flow laid out visually and tap a huge catalog of ready-made app connections, at a fair price for medium volume. n8n is the one you can self-host, meaning it runs on your own servers so your data never leaves, which suits finance, health or legal teams with strict rules. Zapier wins when speed to get live beats everything and you don't mind paying per task as you grow. We don't push a single tool, and we'll happily split one team's workflows across two of them if that's the sensible call. Deeper dives live on our n8n, Make and Zapier pages.Should we automate everything we possibly can?
No, and honestly that's half the value of the audit. A task that runs ten times a month, differently every time, costs more to automate and maintain than it does to just keep doing by hand. We rank every candidate on how often it runs, how much it varies, and what it costs you today, and we only build the ones where the numbers clearly say yes. Talking you out of the bad ideas is part of the job, not an upsell we skip.How long before a first workflow is live?
For a well-scoped one, usually about three to five weeks from the audit. The first week is looking at your processes and ranking them, the next couple is mapping and building, and the last stretch is testing it quietly before it goes live with monitoring in place. If someone promises you a working automation in a day, they're skipping the mapping and the testing. That's fine for a demo, risky the moment the thing starts writing to your CRM for real.Will automation replace our team?
It takes the repetitive load off them, it doesn't replace them. Every workflow we build has a way to hand a tricky case back to a person, the odd exception, the upset customer, the deal that's worth a call. What changes is where the hours go: instead of retyping data between tools all day, sales gets back to selling and support gets back to fixing the thing that caused the ticket in the first place. The dull 80% runs itself, the 20% that needs judgment stays with humans.What happens when a workflow breaks?
It's built to catch itself. Every call out to another app retries on its own if that app hiccups, so a brief outage doesn't drop your data. Every run gets logged, so a half-failure shows up in the dashboard the same day rather than weeks later. And if something fails a few times in a row, you get an alert in Slack straight away, with a louder escalation for the critical ones. We never ship a workflow without a pause switch we can flip in seconds if it starts acting up, plus written notes on how to roll it back.Can the automations run on our own servers?
Yes. Self-hosted n8n, running on hardware you control so nothing leaves your walls, is the usual answer for teams with strict data rules. Make and Zapier live in the cloud only, but their business plans offer EU data storage and a mode where they hold on to nothing. For work where data legally cannot leave your perimeter, like parts of finance, health or defense, we set up n8n on your own machines and can run the AI part locally too. We'll be straight with you about the extra cost and upkeep before recommending it.What tools do you connect workflows to?
Pretty much anything with a modern connection. We've wired workflows into HubSpot, Pipedrive, Salesforce, Attio, Airtable, Notion, Zendesk, Intercom, Slack, Gmail, Stripe, Linear, GitHub, Shopify and plenty of in-house systems, through their APIs or webhooks (a webhook is just a way for one app to poke another the instant something happens). If your tool has a documented way in, we can connect to it. And we build custom connections behind a thin layer, so swapping the underlying tool later is a one-day job, not a month-long rebuild.How long do we commit for, and what's covered after launch?
As long as makes sense for the work, no forced annual lock-in. A one-off audit is a flat fee. A build is fixed scope and fixed price. If you want us watching the workflows month to month, extending them and swapping in better tools as they appear, that's an ongoing arrangement you can end when you like. Either way the after-launch part is covered: we train your team to run it, keep an eye out for snags, and hand everything over so you can take it fully in-house whenever you want.
Stop hand-doing the work a workflow could. Automate the first one.
A free 60-minute audit, your top three repetitive tasks ranked, one workflow sketched out. If your own team should build it, we'll say so and hand over the plan. If we're the better fit, a first workflow is usually live in three to five weeks.