The AI automation agency.AI that does the busywork.
An AI automation agency puts AI to work inside the company you already run. We wire it into your sales, support, back office and marketing so the repetitive tasks mostly handle themselves: leads followed up, tickets drafted, invoices logged, content written. We use everyday tools like ChatGPT, Claude and n8n, and we build it for companies, not for people hoping to launch an agency of their own.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
ActiveCampaign
Adalo
AdCreative.ai
Ahref
Airtable
Allo (The Mobile First Company)
Anthropic
Apify
Apollo.io
AttioAttio Implementation Partner
Base44
Baserow
Brevo
Bright Data
Browse AI
Bubble
CaptainData
ChatGPT
Claude
Claude CodeClaude CoworkClaude Design
Clay
Clickup
Cursor
DeepSeek
Dust
ElevenLabs
Fillout
Flutterflow
Folk CRM
Folk Implementation Partner
Freepik Spaces
Gamma
GeminiFour places AI saves your team hours.
You do not need AI everywhere, you need it on the tasks that quietly eat the week. It usually hides in four corners of the business: chasing leads, answering the same support questions, keying in invoices and data, and writing content from scratch. So that is where we put it, wired into the tools you already use, one use case at a time.
- Sales & CRM
AI in your sales pipeline
A new lead lands in your inbox. AI reads it, fills in the company details, scores how hot it is, and drops a ready-to-send follow-up straight into HubSpot or Pipedrive. Your reps stop copy-pasting between tabs and spend their time on the calls that actually close. You approve, it sends.
AI for sales teams - Customer support
Replies drafted before you type
A ticket comes in. AI pulls the customer's history, finds the right answer in your help docs, and writes a reply in your tone, sitting in Zendesk or Gmail waiting for a human to check and hit send. The easy 80% gets handled in seconds. Your team keeps the tricky cases where judgment matters.
AI for support - Back office
Invoices and data, keyed for you
An invoice arrives as a PDF. It gets read, logged into your accounting tool, matched to the right project, and the payment reminder goes out on its own. Same for order forms, expense receipts, contract data. The dull typing that eats an afternoon a week just runs itself in the background.
AI for operations - Marketing & content
First drafts in minutes
You feed in a brief. AI comes back with product descriptions, a newsletter, ad variations, or last week's webinar chopped into ten social posts, all in your brand voice. Nobody stares at a blank page anymore. Your marketer edits and ships instead of writing from scratch every single time.
AI for marketing
Who we are, and what it costs to start.
- 40+Companies, worldwide since 2024
Since 2024 we have put AI to work inside more than 40 companies, from online stores to service firms to software teams, with clients all over the map. Different businesses, same job: find the tasks worth handing to AI, then wire it into the tools you already use.
- from $2kTo start, exact quote after the audit
It starts from $2,000, and where it lands depends on how much you want automated. You get the real number after the free 60-minute audit, once we have seen your tools and picked the first use case. A tight, single task can be live within the week, a bigger build runs nearer six months.
- 150+Automations shipped
We have shipped more than 150 automations to date, and they are the plumbing that keeps AI running once it goes live. The reading, sorting, logging and sending that used to eat your team's hours happens quietly with n8n and Make holding it together.
What an AI project looks like from day one.
No mystery, no big-bang launch you cross your fingers over. Every project runs the same four phases, in order: we audit where AI is worth it, build one pilot to prove it, roll it out across the team, then train your people to own it. Same shape whether the AI ends up living in HubSpot, Zendesk, your inbox or your accounting tool.
- Audit. We sit with your team and list the tasks AI could take off their plate, then rank them by hours saved and how doable each one is.
- Pilot. We pick one use case and build it for real, live in your own tools, so you judge AI on your data and not on a canned demo.
- Rollout. Once the pilot earns its keep, we extend it to the next use cases and wire the automations that keep the whole thing running.
- Team training. We teach your people to run it, tweak the wording and spot when something drifts, so you are never stuck depending on us.
We put AI to work for companies, not for the hype.
Search 'AI agency' and half the results are teaching you to start one. We do the other thing: we come in and get AI running inside your business. It lives where you already work, we name the tools we use, and you own everything at the end. Judge us on hours saved and tasks that run themselves, not on the thickness of a strategy doc.
- We put AI into companies that already run. This is not a course on starting an AI agency, it is the agency you hire to get the work done.
- AI lives where you already work: inside your CRM, your inbox, your accounting tool. No extra dashboard sitting there that nobody opens.
- Named tools, not black boxes. ChatGPT, Claude, Gemini or n8n, picked for the job at hand and swapped the day a better one shows up.
- You own all of it. The prompts, the workflows and the accounts live in your accounts, and your team is trained to run them without us.
We map where AI helps, you leave with a plan.
Before we quote anything, we spend 60 minutes looking at how your team actually spends its week and marking the tasks AI could take over. You walk away with a short, ranked list of where AI is worth it, the one pilot worth building first, and a ballpark on cost. Yours to run in-house or with us. No pitch, just an outside read on where AI would genuinely save you time.
- A plain-language list of tasks worth handing to AI, ranked
- The one use case worth building first, and a ballpark cost from $2,000
- Which tool fits the job: ChatGPT, Claude, Gemini or n8n
- An honest call on the tasks where AI would be worse than a person
How we run an AI project.
Five phases, run in that order, none skipped. Nothing starts before the free audit, nothing reaches a customer without a human check first, and nothing is billed before you approve the plan and the price. Each phase has a clear finish line, and by the end everything belongs to you.
- Step 1 · Free audit
We start with a free 60-minute audit
Before anything else, we spend an hour with the people doing the work: sales, support, ops, marketing. We list the tasks that eat their week, the reading, the sorting, the copy-pasting, the same reply typed for the hundredth time, and we mark the ones AI could genuinely take over. Some jobs are a perfect fit. A few are the kind of thing where AI would be slower and clumsier than a person, and we will say so out loud. You leave with a short, ranked list of where AI is worth it, and a ballpark on cost. No presentation to sit through, nothing to sign.
- Step 2 · Pick the pilot, agree the price
We choose one use case and put a real number on it
After the audit you get a proper quote. It starts from $2,000 and moves with the scope, so the figure reflects the actual work rather than a package off a shelf. We pick one use case to prove first, usually the one with the most hours trapped in it, and put a timeline on it: anywhere from a week to six months depending on how deep it goes. We design how the AI plugs into your tools, which model does the job, ChatGPT, Claude or Gemini, and what it is allowed to touch. Not a euro is billed until the plan and the price have your yes.
- Step 3 · Build the pilot
We build the pilot live in your own tools
We build the first use case for real, wired into the tools you already use, HubSpot, Zendesk, Gmail, your accounting app, held together with n8n or Make so your team can extend it later without touching code. Then we test it on your actual data, not a tidy demo, and put a human check in front of anything that goes out to a customer while the AI earns your trust. If it does not clearly save time, we fix it before it goes wider. You see it working on your own cases before you commit to more.
- Step 4 · Rollout
We roll it out and automate the repetitive parts
Once the pilot proves it saves real hours, we widen it: the next use cases, the next team, the automations that keep it all humming without anyone babysitting a tab. This is where those 150+ automations earn their keep, quietly reading, sorting, logging and sending in the background. AI stays where the work already happens, a draft in the inbox, a note in the CRM, a reminder that sends itself, instead of one more app nobody remembers to open.
- Step 5 · Training and support
We train your team and stick around after go-live
The prompts, the workflows and the accounts are yours from day one and live in your own tools, so you are never held hostage. We train your people to run the daily stuff, adjust the wording when your process shifts, and notice when a result starts drifting before it becomes a problem. We keep an eye on the systems so you hear about a hiccup before your customers do, and we are there for the next use case when you want it. Want to bring the whole thing fully in-house one day? That was always the plan.
The same method, across very different businesses.
The clips below come from real check-in calls with companies running AI in production: a sales follow-up drafting itself, support replies waiting for a quick human yes, invoices logging on their own. Same steady approach, wildly different businesses, from online retail to services to software. Our Trustpilot reviews are written by the people who actually use what we ship.
- A monthly check-in with every company we have AI running for
- A human still signs off on anything that reaches a customer
- If a result starts drifting, we catch it before it becomes a problem
- Trustpilot reviews come from the teams using the AI, not from marketing
AI for your business, answered straight.
What does an AI automation agency actually do?
It puts AI to work inside the business you already run, instead of handing you a strategy deck. In plain terms: we find the repetitive tasks that eat your team's week, then wire AI into your existing tools so those tasks mostly handle themselves. A lead gets read, scored and followed up in your CRM. A support ticket comes back with a draft reply ready to check. An invoice gets logged into your accounting tool on its own. We use everyday tools like ChatGPT, Claude and n8n, build one use case first to prove it works, then roll it out across your sales, support, back office and marketing.Is this about helping us start our own AI agency?
No, the opposite. A lot of what you find when you search 'AI agency' is really about how to launch one yourself, courses and YouTube videos for aspiring founders. That is not us. We are the agency you hire to get AI running inside your own company, whether you sell shoes, run a law firm or build software. You do not learn to do it, you get it done, wired into your tools and handed over with your team trained to run it.How much does an AI agency cost?
It starts from $2,000 and climbs from there depending on how much you want automated and how fast. We skip fixed packages, because the right scope really depends on which tasks are worth handing to AI in the first place. Once we have run the free 60-minute audit, you get a precise quote pinned to the real work, along with a timeline that tends to fall between a single week and six months. On top of our fee you may pay the AI tools themselves, ChatGPT or Claude run roughly $20 to $30 a month per seat, and we flag any of those costs up front so nothing lands as a surprise.Is an AI agency worth it for a small business?
Yes, and small teams often get the most out of it, because there is nobody to spare for the repetitive work in the first place. You do not need a data team or a big budget. If your people spend hours every week retyping the same emails, chasing invoices, copying data between apps or answering the same ten questions, that is exactly where AI pays off fastest. We start small on purpose: one use case, from $2,000, proven on your own data before you spend a euro more. Since 2024 we have done this for more than 40 companies, plenty of them small.Which AI tools and models do you use?
The ones that fit the job, not whatever is trending. For the thinking part we mostly reach for ChatGPT, Claude or Gemini, and we pick per task rather than marrying one brand. Claude tends to be strong on long documents, ChatGPT on all-round tasks, Gemini when it needs to read images or long context. To plug it all into your tools and keep it running we use n8n and Make, no-code automation platforms that connect apps without custom software. And we swap any of them the day a better option shows up, since this field moves fast.How long before AI is actually running in our business?
It starts with the free 60-minute audit, then a first working use case usually follows within a few weeks once the scope is agreed. The full picture depends on the project: a single, well-defined task can be live in about a week, while automating across several teams runs closer to six months. We build one pilot first and get it working on your real data before widening it, so you see AI doing something useful early rather than waiting months for a big reveal. You approve each step before we move to the next.Will AI replace our team?
No, it takes the boring part off their plate. Every use case we ship keeps a human in the loop for the tricky cases, the upset customer, the call that needs judgment. What changes is the mix of the day: your team stops retyping the same replies and copying data between tabs, and spends that time on the work that actually needs a person. Sales gets more hours for real conversations, support fixes the root cause instead of copy-pasting, marketing edits instead of writing from a blank page. Same headcount, more done. And we train your people to run the AI themselves, so they gain a skill rather than lose a job.Is our company data safe with these AI tools?
It can be, and it depends on the setup we choose with you. The business tiers of ChatGPT, Claude and Gemini do not train their models on your data and do not keep it beyond the request. When data is sensitive, we can run the same models inside your own cloud account with EU or US data residency you control, so nothing leaves your perimeter. For the strictest cases, finance, health, legal, we can deploy an open model on your own servers. We pick the option that matches your risk level and, for EU clients, keep the whole thing GDPR-friendly rather than defaulting to the cheapest route.Do we need technical people in-house to work with you?
No. That is the whole point of hiring an agency for this. You do not need a developer, a data scientist or anyone who knows what a model is. We handle the building, the wiring and the testing, and we set it up inside tools your team already knows, like Gmail, HubSpot or your accounting app. Your only job is to point us at the tasks that waste the most time and to check the results during the pilot. By the end we train your team to run and adjust it, and that takes an hour or two, not a degree.What happens after the AI is live? Do you handle maintenance?
Yes, go-live is the start, not the end. Everything lives in your own accounts, so you own it outright, and we train your team to run the day-to-day. Then we keep an eye on the systems so a hiccup gets caught before it reaches a customer, adjust the AI when your process changes or a tool updates, and stay on hand for the next use case when you are ready. If you would rather bring it fully in-house later, you can: it was built in your tools, documented and handed over, precisely so you are never locked in.
Stop reading about AI. Put it to work in your business.
A free 60-minute audit, a ranked list of the tasks worth handing to AI, and the one pilot worth building first, from $2,000. If you are better off doing it in-house, we will say so and hand over the plan. If we are the right fit, we build the pilot on your own tools.