How much it costs to implement AI in a company
What the cost depends on and how to pin it down before committing a budget.
In short
There is no single price, and it is wise to be wary of anyone who quotes one without knowing your company. The cost depends on five things: how many processes and which ones, the state of your data, how many tools need connecting, who maintains it afterwards and how much training your team needs.
It is pinned down before starting with an assessment, which leaves the opportunities ranked by what they save and what they cost. You will not find a price list here: we tell you what to ask so you can compare quotes.
Why there is no list price
Automating leave for a company with one collective agreement and one calendar does not cost the same as reviewing taxes with three banks and two legal entities. The technology is the same; the work is not.
The price ranges you see published are so wide they are no use for deciding. What you can know before spending is what your case depends on.
What the cost depends on
Processes: how many, with how many exceptions, and whether they are written down or only in the head of whoever does them. Writing them down is the first part of the work.
Data: whether it is in one place, tidy and up to date, or scattered across spreadsheets and mailboxes. Tidying it often costs more than the agent.
Integrations: how many tools need connecting (bank, invoicing, email, calendar, CRM) and whether they allow a direct connection.
Maintenance: processes change, and someone has to change the agent, check that it keeps getting things right and respond when it fails.
Training: the people who use it and those who approve need to know what it does, what it does not do and which data it sees.
The costs hardly anyone counts
Your team's hours. Explaining how each thing is done and validating the result takes time from the people who know most.
Usage. Every case an agent handles has a model cost, which grows with volume. Ask how it is billed and what happens if volume doubles.
Oversight. What goes out is approved by a person. It takes less time than doing it by hand, but not zero.
The exit. If you change supplier one day, what do you take with you: the written processes and the data have to be yours.
What the data says
33.6% of Spanish companies with ten or more employees used artificial intelligence in the first quarter of 2026, according to the Survey on ICT Usage and E-commerce in Enterprises by INE, Spain's National Statistics Institute, published on 22 October 2026.
The same survey asks companies that have considered it and do not use it why not. The reasons it lists include that the costs seem too high, that the company lacks relevant expertise and difficulties with the availability or quality of the data. Those are the three factors above, seen from the side of those who have not taken the step.
How to pin it down before starting
With an assessment. In two or three weeks we talk to each area, see how each process is done today and measure the time it takes. We cross-check it with what we have already automated in our own company.
The map of your processes, department by department.
The opportunities, ranked by what they save and what they cost.
The data risks: what an AI can see and what it cannot.
An implementation plan with dates.
What we deliver is yours, whether or not you continue with us. With that document you can ask anyone for a quote and compare.
The real drawback of each route
Buying a tool and letting everyone use it: it is the fastest and the cheapest to begin with. But each person uses it their own way, with company data, and nobody knows what is being gained.
Commissioning a fixed project for one process: it has a price and a deadline from day one. The risk is picking the wrong process and finding out late that the data was not ready.
Starting with an assessment, which is what we propose: it is two or three weeks in which nothing is automated yet, it takes time from the head of each area and it has no published price, because the scope depends on each company and is agreed in the first meeting.
What to ask for in a quote so you can compare it
Which processes it covers, with their exceptions, and which are left out.
What is paid once and what is paid every month, and how that changes if volume grows.
Who maintains the agent when the process changes, and how quickly.
Which data the AI sees, where it is processed and who approves what goes out.
What you keep if the relationship ends.
When it does not pay off
When the process is done a few times a year, when it is different every time or when nobody in the company can spare the time to explain it. Also when the problem is something else: if what is missing is someone to decide, an agent will not fix that.
Our calculator gives you a first figure of recoverable hours with your own data, before you talk to anyone.
Frequently asked questions
Why do quotes differ so much?
Because they do not cover the same things. Some count only the set-up; others also include data, integrations, maintenance and training. Ask for the breakdown.
Can we start small?
Yes, and that is what we recommend: a first area, where it pays off most, with results in weeks. Then the rest, with what has been learned.
How much does the assessment cost?
It has no published price: it depends on the scope, which is agreed in the first meeting. What you receive is yours, whether or not you continue with us.
Other comparisons
AI agents vs RPA
It depends on how many exceptions the process has and what a mistake costs.
Agency vs managed marketing
The difference lies in who answers for the result at the end of the month.
Hire or automate
The decision is made task by task, not job by job.