Agency vs in-house AI automation: the total cost

Three routes

Three ways to get AI working

Agency vs in-house comes down to who builds your AI, who runs it and who fixes it when something changes.

There are three routes to AI that does real work in your business. They differ in cost, in speed and in who carries the risk. Here they are, side by side.

1. Build it in-house

   You hire an AI engineer, buy the tools, and wait while they learn your business and build it from scratch.

2. Buy a tool and run it yourself

   Off-the-shelf automation is cheap to start, but someone on your team still has to set it up, fix it and keep it current.

3. Hire an AI automation agency

   A team that has already built 300+ AI systems builds yours, trains it on your business and keeps it running.

The tool route still needs a person to run it, so in practice it turns into a smaller version of the first route. That is why the rest of this page compares the first and the third.

Side by side

Agency vs in-house AI team, side by side

The whole comparison in one place, row by row.

If the right-hand column is what you need, scan your site for free to see where to start.

The real cost

What in-house really costs you

The salary is the line everyone sees first. Total cost of ownership is everything else you pay to keep the work going.

An in-house AI build carries five costs, and only one of them is on the offer letter.

1. Finding the right person

   Recruiting fees, hours of interviews, and the gap with nobody in the seat while the work waits.

2. Salary, taxes and benefits

   The pay packet plus the costs every employer carries on top, whether the build goes well or not.

3. Tools and model fees

   AI models, hosting, testing and monitoring, billed every month and often missing from the first budget.

4. Your time managing it

   Someone senior sets the goals, checks the work and answers questions, and that time comes out of their real job.

5. Starting again when they leave

   If your one specialist leaves, what they knew leaves with them. The next hire starts by learning what was built.

Put your own figures into the calculator below, because salaries differ by country and by role.

Where it stalls

Why in-house AI projects stall

Most AI projects do not fail because the AI is weak. They stall because the work around it never gets done.

When people ask why AI projects fail, the answer is rarely the model. It is the gap between a clever demo and a system your team uses every day. These are the four places in-house builds get stuck.

• Nobody owns it

  The engineer builds, but nobody senior decides what it should do first or checks that it does it.

• The knowledge is scattered

  Your prices, rules and past answers sit in inboxes, files and heads, so the AI has nothing solid to learn from.

• The team keeps the old way

  It works in a test, but nobody changes the daily routine, so people slide back to what they did before.

• Nobody keeps it current

  Tools change, prices change and staff leave, and a system no one updates quietly stops being used.

That is why we build your company brain first. Everything your business knows goes in one place, then we stay to run and improve it every month.

Our fee

One monthly fee, three steps

Which is cheaper, agency or in-house, depends on your own numbers. An agency swaps those five costs for one monthly fee.

Ours has three steps, and each covers the build and the running. Every step also includes an AI consultation call every two weeks: where your business needs to go next, and a review of the work we are doing for you. Some agencies hand over a system and leave you to work it out. We stay.

1. Foundation, $2,000 a month

   We build your AI systems and they run for you. Month to month with 30 days notice, and where most clients start.

2. Ecosystem, $5,000 a month

   We also take the campaigns, the outreach and the content off your team. Month to month with 30 days notice.

3. Workforce, $10,000 a month

   We run everything, including builds made just for your business. A 12-month partnership, and you can start here.

$10,000 a month is $120,000 a year, for a whole team that builds and runs your AI. Set that against one senior AI hire plus their tools, and do the sum yourself.

Speed

AI implementation, live in month one

AI implementation means putting AI to work on real jobs in your business, not just in a test. In-house, the clock starts when your new hire does. With us, it starts after the first call.

A new hire begins by learning your business from nothing. We have built 300+ AI systems, so we start from what already works. We find your company's bottlenecks and what they cost you, then hand that work to AI, making it at least 10 times faster.

1. Your plan in your own dashboard

   After the first call you get your own dashboard with the full audit, our research and your plan.

2. We find your bottlenecks

   What costs you the most time and money, written down, with what is worth fixing first.

3. We build your company brain

   Everything your business knows in one place: what you sell, how you talk, your prices and your rules.

4. Build and train, then go live

   Month one is build and train, then you go live. After that, we keep improving it every month.

Proof

Five months in-house, two days with AI

Our founder, Chris Rowan, tested this on his own business first.

His developer built it the usual way. Chris rebuilt the same work with AI in two days. That gap is what AI changes, and it is how we build yours, with a team that has built 300+ AI systems.

What we do

What AI automation services include

AI automation services build AI that does real work in your business, then run it and keep it current.

Our AI automation agency services are not software licences or advice on a slide. The work gets done, and you can watch it being done. These are the jobs we take on first.

• Getting picked by AI

  Your site and your pages built so ChatGPT, Gemini and the rest can read you, trust you and name you.

• Never missing a lead

  Every enquiry caught, answered, qualified and booked, day or night, so no buyer is left waiting.

• Your company brain

  Everything your business knows in one place, and the systems doing the work on top of it.

• Better every month

  We keep improving it as AI grows, and everything we learn on other clients lands in yours.

One hire learns alone. An agency brings what it learned on every other build. We have deployed 500+ AI agents, and what we learned from each one goes into yours.

Workflows

The first workflows we automate

AI workflow automation, also called AI process automation, means a job you repeat every day runs from start to finish with far less human work.

An in-house hire would build each of these one at a time, while still learning your tools. We have built them many times, so we are not learning on your time.

1. Every enquiry answered

   Site, chat, social, email and phone, all caught in one place and answered day or night.

2. Follow-up that never forgets

   Automatic follow-up for the people who go quiet, so a warm lead does not go cold.

3. Booking without the back and forth

   Your calendar and booking joined up end to end, so a buyer can pick a time there and then.

4. Quotes and proposals

   Drafted from your own prices and rules, ready for you to check and send.

5. Your week at a glance

   One dashboard in money and plain English, and a progress note from us every Friday.

Start with the job that costs you the most. Your audit shows which one, and we fix that first.

Talk to us

Bring your numbers to a call

Talk it through with our CEO. After the call you get your own dashboard with the full audit, our research and your plan.

Book a call

Choosing

How to choose an AI automation company

Whoever you hire, check five things before you sign. They separate a team that runs your AI from one that hands it over.

Many AI automation companies build something, send an invoice and move on. That leaves you with the same problem as a hire who leaves: a system nobody runs. Ask these five questions on the first call.

1. Built many times before

   Ask how many systems they have built and still run. We have built 300+ AI systems, so yours is not our first.

2. Run after launch

   Building is month one. Ask who answers when something breaks in month six, and who keeps improving it.

3. Work you can see

   Look for one dashboard in money and plain English, not a monthly report you cannot check.

4. Everything written down

   Your company brain and your files should be yours to keep, whatever happens next.

5. Free to walk away

   Foundation and Ecosystem run month to month with 30 days notice, so we keep your business by doing the work.

The return

How to measure the return

The return on AI, or AI ROI, is easy to measure if you choose the numbers before the build starts.

Whichever route you take, write down four numbers today. Then check the same four once the system is live, and again every month after that.

• Hours handed back

  Count the hours your team spends on the task now, then count them again once AI does it.

• Enquiries answered

  Track how many enquiries get a reply, and how fast, including nights and weekends.

• Months until it is live

  Every month without a working system is a month with no return, whatever it cost.

• The full monthly cost

  Add the fee or the salaries, the tools, and the time your managers spend on it.

We do not print a return figure here, because yours depends on your business. We work it out with you on the call, from your own numbers. If the sum does not work for you, we will say so.

Pilots

Agency vs in-house for your first AI pilot

An AI pilot is a small, real test of AI on one job in your business, run before you commit to more.

The pilot is where most firms decide agency vs in-house, and where the choice matters most. Hire for a pilot and you carry a salary before you know the idea works. Run it with an agency and you test the idea first.

1. Pick one costly job

   Choose the task that eats the most hours or loses the most leads. Your free audit shows which one that is.

2. Set the numbers first

   Write down the hours, the replies and the cost today, so you can see the change once it runs.

3. Test it on real work

   Run it on real enquiries and real data, not a demo, so the result means something.

4. Decide what comes next

   If it works, widen it, keep it with us or build a team around it. The files are yours to keep.

The honest answer

When building in-house makes sense

An agency is not the right answer for everyone. Build your own team if most of these are true for you.

• AI is the product you sell

  If AI is what your customers pay you for, the know-how belongs inside your company.

• You already have the people

  Engineers who know AI and know your business, with real time to give it.

• You can wait for results

  You can fund a long search and a slow build without the business feeling it.

• The work must stay in-house

  Your own rules say the systems and the data have to sit inside your own team.

If only some of these are true, mix the two. If you already have one engineer who is curious about AI, keep them. We build and run it, and they learn from a working system instead of starting alone.

Read next

Where to go next

• Pricing Every step and what it includes.
• How it works How the first months run.
• Our services Each job we take on, on its own page.
• The cost of an AI agency What the fee buys, and whether it is worth it.