Internal AI Team or External Agency? Costs and Timelines Compared

The dilemma between an internal AI team or an external agency is almost always decided with the wrong arguments: "internal is cheaper in the long run" (it depends on a long run that might never arrive) or "the agency knows more" (it depends on which agency). The correct decision comes from comparing four variables with numbers: real annual cost, time to the first result, risk of each path, and what knowledge stays in-house. This article puts current market figures on the table so you can make that comparison for your specific case, not the generic case of a LinkedIn post.

The true cost of an internal team

The common mistake is comparing the agency's quote against "a salary." A minimally operational internal team is not one person, and its cost is not the gross salary. Current market figures:

• AI Engineer / ML Engineer: between €55,000 and €90,000 gross per year depending on seniority; profiles with real experience in production agents are at the high end and receive offers every week.
• Developer with integration experience: between €45,000 and €65,000 gross. Essential: agents are only as good as their connections with the ERP, CRM, and email.
• Product/Process profile (even if partial): between €45,000 and €70,000 gross. Someone has to decide what gets automated and redesign the process; without this role, the technical team automates what they are told, not what is profitable.

On top of the gross salary, add about 30% in company costs (social security contributions and benefits). A minimum team of two people—an AI engineer and an integrations developer—costs between €130,000 and €200,000 per year in company costs. And to that, you must add what doesn't appear on the payroll:

• Recruitment: 3-6 months to find and close good profiles in a market where you compete against banks, consultants, and funded startups.
• Ramp-up: another 2-3 months until the team knows your processes and delivers value.
• Turnover risk: if the engineer leaves after 18 months—statistically likely—a good part of the knowledge goes with them.
• Tools, continuous training, and management: a smaller item, but it exists.

The true cost of an agency

An agency is paid by project, not by payroll, and that changes the spending structure:

• Initial Diagnosis: between €1,500 and €5,000, in 2-4 weeks.
• First agent in production: between €5,000 and €15,000, in 4-8 weeks.
• Full automation program (several processes): between €15,000 and €50,000 spread over phases.
• Maintenance: from €150 to €1,000 per month, plus model consumption.

An ambitious first year with an agency—diagnosis, three or four agents in production, and maintenance—hardly exceeds €40,000-€60,000: between a third and a quarter of the cost of an equivalent internal team, with results from the second month instead of the eighth. You can find the detailed breakdown of each item in how much a custom AI agent costs.

Variable by variable comparison

Annual Cost:

• Internal team (2-3 profiles): €130,000-€260,000 company cost, spent in full even if the year goes poorly.
• Agency: €15,000-€60,000 depending on ambition, scalable by phases and stoppable at any milestone.

Time to first result in production:

• Internal team: 6-9 months (hiring + ramp-up + building).
• Agency: 6-12 weeks (diagnosis + first agent).

Risk:

• Internal team: concentrated and high—a bad hire or an exit takes months and tens of thousands of euros with them; you find out late.
• Agency: limited by phases—if the diagnosis or the first agent disappoints, you've lost weeks and a fraction of the budget; you find out early.

Knowledge that stays in-house:

• Internal team: maximum while the team stays; fragile if they rotate.
• Agency: depends on the contract—with agreed knowledge transfer (documentation, training, logic ownership) plenty remains; without it, dependency remains. This is the most important clause to negotiate.

When each path makes sense

The agency wins clearly when: you bill less than 20-30 million, you don't have a previous data team, you need to show a return this year, and your volume of automatable processes is typical for an SME (half a dozen large processes, not fifty). Which is, frankly, the situation for 90% of companies asking this question.

The internal team wins when: AI touches the core of your product (not just your internal processes), you have a sustained volume of work to occupy two or three people all year round, and you can afford 12-18 months of investment before full return. In that scenario, the payroll is cheaper than paying project fees in perpetuity.

The hybrid path—the one we see working best—: start with an agency for the diagnosis and the first agents, with knowledge transfer agreed upon by contract, and hire the first internal profile when there are already production systems to maintain and evolve. This way, the new employee arrives at a functioning operation rather than a blank page, and the company builds its own capacity without blindly betting €200,000. It is the natural route toward what we call an AI-First company: AI as an organizational capability, not an isolated department or a service rented forever.

Decide with your numbers, not the industry's

An honest comparison is made on a spreadsheet with three rows: total cost at 12 and 24 months for each option, the month of the first result in production, and the expected savings from the processes you are going to automate. To fill in the third row, you need to know which processes are candidates and how many hours they cost today—and you have to measure that data, not estimate it. If the annual savings at stake don't reach €50,000, the internal team row discards itself; if it multiplies those savings, the conversation changes.

That is precisely the starting point solved by our diagnosis: an inventory of your processes with hours and cost, and a ranking of candidates by return. With that map in hand, the decision between an internal team, agency, or hybrid stops being a gamble and becomes arithmetic.

Frequently Asked Questions

Which is cheaper, an internal AI team or an agency?

For an SME, the agency: a complete program costs between €15,000 and €60,000 per year compared to the €130,000-€260,000 company cost of a minimum internal team of two or three profiles. The internal team only pays off with a sustained volume of work throughout the year.

How much does an AI engineer earn in Spain?

Between €55,000 and €90,000 gross per year depending on experience, plus about 30% in company costs. Profiles with real experience in production agents are at the high end of the range and are the hardest to retain.

Can I start with an agency and set up an internal team later?

Yes, and it is the path that works best: agency for diagnosis and first agents with agreed knowledge transfer, and the first internal hire when there are already production systems to maintain. The employee arrives at a functioning operation, not a blank page.

What should I demand from the agency to avoid being dependent?

Four things by contract: complete system documentation, team training, ownership of data and business logic, and a defined exit strategy. With that, switching providers or internalizing later is a choice, not a rescue mission.