Comparison · Build vs Buy

AI in-house or with a partner: how to decide

Hire and train an internal AI team, or work with an external partner for the first months. What actually makes sense for an SME.

Daniel Levis· Published 16 July 2026

In brief

For most SMEs it pays to start with an external partner for the first 6-12 months and internalize gradually. An in-house team really pays off once AI becomes a core, ongoing process; before that, the time and risk of building a team from scratch almost always outweigh the saving.

Option A

In-house AI team

You hire and train people (tech lead + engineers) who build and maintain the agents inside the company.

Pros

  • +Full control and knowledge that stays in-house
  • +No recurring consulting cost once up to speed
  • +Priorities decided internally

Cons

  • −Long lead time: hiring, training and a first serious agent usually take 1-2 years
  • −Key-person risk if the lead leaves
  • −AI skills need refreshing every few months

Best for

  • Companies where AI is already a core, ongoing process
  • Those who already have a senior tech lead with AI experience

Option B

External partner (like Soraia)

A partner builds the agent on your process with a proven method, and the code stays yours.

Pros

  • +First working version in 4 weeks, not months
  • +Reduced risk: with Soraia you pay only if the agreed target is met
  • +Client owns the code from day one, no lock-in

Cons

  • −Cost of the initial sprint (Assessment about EUR 2,000, Sprint EUR 10-50k)
  • −Knowledge must be transferred in-house if you want to internalize
  • −You need an internal point of contact for the project

Best for

  • SMEs without a structured IT department
  • Those who want to validate AI value early, before hiring
Criterion In-house AI team External partner (like Soraia)
Time to first result 1-2 years (team to build) 4 weeks (first delivery)
Initial risk High (hiring, training) Low (pay on result)
Code ownership Internal Client's from day one
Steady-state cost Recurring salaries Sprint + optional retainer
Knowledge that stays In-house immediately Transferable via internalization

The verdict

It is not a binary choice forever. For an SME that does not yet have an AI team, starting with an external partner cuts time and risk: you see in 4 weeks whether the process works, with the code already yours, and decide afterwards. As AI becomes central, it makes sense to bring the skills in-house, often starting from exactly what the partner has built and documented. The right question is not 'in-house or outside', but 'what should I do now, given where I am'.

FAQ

What people usually ask us.

How much does starting with a partner cost vs hiring?
With Soraia you start from an AI Readiness Assessment of about EUR 2,000 (refunded if you proceed) and a build Sprint between EUR 10,000 and 50,000. A single senior in-house developer, counting loaded salary and months of ramp-up, costs more and pays back much later. For an estimate on your case, let's talk.
If I start with a partner, am I locked in?
No. The code is yours from day one, documented and maintainable: no lock-in. You can internalize whenever you want, often starting from what was built.
What if it doesn't work?
With Soraia the pay-only-if-you're-satisfied guarantee applies: a measurable target is set during the assessment and, if it is not met, we work for free until it is, or refund the sprint.

Not sure which one fits your case?

20 minutes with the CEO to work out the right choice for your processes. No pitch, no obligation.

Daniel Levis

Daniel Levis

Co-Founder & CEO

20 min with Daniel
20 min with Daniel