NinA AI Agency

Knowledge · bringing AI expertise in-house

Should you hire or contract an AI specialist? Three routes compared

You want to do more with AI and notice the knowledge is missing. Then three routes are open: hiring someone, contracting someone, or a permanent partner. Each solves a different problem. Here's what each route delivers, what it costs and when it fits. Including when a partner like us isn't the right choice.

  • By Olaf Lemmens
  • Updated 27 October 2026
  • Including when we're not a fit

3

crafts: teaching people, choosing what pays off, building and managing

€ 150

per hour at NinA, for consulting and building

30 to 80

hours a month in an AI Partnership

1

internal champion you always need, whichever route you choose

What AI knowledge do you actually need?

More than you think, and of three different kinds. Anyone who says "we need an AI specialist" usually means a mix of these three:

  • Teaching people to work with AI. Prompting, your own assistants, agreements about what is and isn't allowed. This is AI training: the foundation.
  • Choosing what pays off. Which processes can AI take over, what does that deliver in hours and euros, and in what order do you tackle them? This is AI consulting.
  • Building and keeping it running. Connections to your systems, agents, automations, and the management afterwards. This is AI implementation.

There's a fourth that often gets forgotten: bringing people along through the change. Most resistance isn't in the software, but with colleagues who see their work changing.

One person who masters all four is rare. That's the core of the choice below.

Route 1: hiring an AI specialist

An employee of your own knows the organization from the inside, is there every day and builds up knowledge that stays. That's valuable, especially if AI becomes a permanent part of your work.

The downside:

  • The people are scarce. Good AI specialists are in demand, so recruiting takes time and costs money.
  • One person, one profile. A strong developer is rarely also a good trainer or adviser, and vice versa.
  • Vulnerable. With illness, holidays or departure, everything stops, and the knowledge leaves with them.
  • Keeping up is a job in itself. Models and tools change every few months. On your own, that's hard to keep up with alongside the regular work.

Fits when: you want to tackle lots of processes at once, you already have your own IT department, and AI becomes an ongoing stream of build work.

Route 2: bringing in a freelancer

A freelancer is available quickly and often strong in one thing: an n8n specialist, a prompt engineer, a developer who builds a connection. For a well-defined job, that's exactly right.

Watch out for three things:

  • Who manages it afterwards? An automation or agent needs maintenance: models change, and so do systems. Agree beforehand who does that.
  • Where does the knowledge stay? Ask for documentation and a handover, otherwise the knowledge leaves at the end of the assignment.
  • Who chooses the job? A freelancer builds what you ask for. Whether that's the process that delivers the most, you have to know yourself already.

Fits when: you know exactly what needs to be built, and your own IT can manage it afterwards.

Route 3: a permanent AI partner

A permanent partner provides a team instead of one person: someone who advises, developers who build, someone who trains and keeps an eye on the project. You buy capacity per month, and the partner makes sure the right people are at the table at the right time.

That's how our AI Partnership works: 30, 50 or 80 hours a month, for consulting and building at the same rate of € 150 per hour. It starts with the AI Quick Scan: one day at your site, and within a week a business case and a roadmap. We arrange hosting and maintenance separately, through a fixed maintenance contract.

The downside, honestly:

  • It's a commitment. With us a minimum of 12 months, then 2 months' notice. That's deliberate: the first months are about the foundation, the return comes after that.
  • The partner isn't in your building. You still need someone in-house who guards the priorities and brings colleagues along.
  • For one job it's too much. If you only want one connection, a freelancer is cheaper.

Fits when: you want to tackle several processes, have no AI team of your own and want it to keep working after it's been built.

Do you need a Chief AI Officer or AI lead?

The role yes, the job title not necessarily. Someone has to own AI in the organization: setting priorities, guarding the AI policy, bringing colleagues along and directing the partner or specialist.

In most organizations that's not a new position, but an existing manager or team leader who frees up part of their time for it. We call that person the internal champion. They don't need to be technical. Curiosity, authority in the organization and time matter more.

You need the champion with every route. A specialist without an owner builds the wrong thing, and so does a partner without an owner.

What does each route cost?

Don't just compare the rate, but everything that comes with it.

  • Hiring: salary plus employer costs, recruitment, onboarding time, training and tools. Also factor in that one person can't do everything, so sometimes you bring someone in on top anyway.
  • Freelancer: an hourly rate, plus the time it takes you to choose the job, steer it and arrange the management afterwards. Rates vary widely; ask for several quotes.
  • Permanent partner: a fixed amount per month. With us € 4,500 (S), € 7,500 (M) or € 12,000 (L), with the € 6,000 Quick Scan as the start. In the first year that's € 60,000, € 96,000 or € 150,000, excluding VAT. For what runs, a maintenance contract comes on top: € 245, € 445 or € 895 per month, including AI usage.

Which route is cheaper depends on what it delivers. That's why in the Quick Scan we first calculate what AI saves in your processes. Our guarantee: at least 2x back in the first year, otherwise we don't start. You can already run your own numbers with the AI savings calculator.

The combination that works most often

In practice, most organizations don't choose one route, but a sequence:

  1. 01Appoint an internal champion. Someone who gets time for it.
  2. 02Bring in knowledge with a partner. The partner advises, builds and trains, and brings the champion along in everything that happens.
  3. 03Let the team grow itself. Colleagues learn to make the simple applications themselves: prompts, their own assistants. The build work stays with the partner.
  4. 04Only hire someone later, if needed. After a year you know exactly which profile you're looking for, and that person has a foundation to build on.

That way you start quickly, without the knowledge depending on one person, and you keep your options open.

The three routes side by side

Hire, contract or a permanent partner?

No route wins every time. These are the differences that weigh most in practice.

HiringFreelancerPermanent partner
Quick to startNo, recruiting takes time✓✓
Advice, building and training in oneRarelyRarely✓
Knows the organization from the inside✓PartlyGrows into it
Management after delivery✓Agree separately✓
Keeps going through illness or departure··✓
Knowledge stays in the organization✓Only with a handoverThrough training and documentation
CostsFixed salary plus employer costsPer hourFixed amount per month
FitsOngoing build work, your own ITOne well-defined jobSeveral processes, no AI team of your own

Swipe sideways to see all columns →

You need an internal champion with every route.

Frequently asked questions about hiring an AI specialist

What exactly does an AI specialist do?

That varies a lot. Some train employees to work with AI, others advise on where AI delivers value, and still others build connections, agents and automations. Ask every candidate or provider which of those three is their strongest point.

Should I hire an AI specialist or contract one?

Hiring fits when AI becomes an ongoing stream of build work and you already have your own IT department. Contracting fits a well-defined job. If you want to tackle several processes without an AI team of your own, a permanent partner is often the fastest route. In every case you need an internal champion.

What does it cost to bring in an AI consultant from NinA?

Consulting and building cost the same rate at NinA: € 150 per hour. Those hours are part of the AI Partnership: € 4,500 per month for 30 hours, € 7,500 for 50 hours or € 12,000 for 80 hours. Every engagement starts with the € 6,000 AI Quick Scan. All amounts exclude VAT.

Does my organization need a Chief AI Officer?

The role yes, the job title usually not. Someone has to own AI: setting priorities, guarding the policy and bringing colleagues along. In most organizations an existing manager does that alongside their regular work, with an external partner for the expertise.

Can I hire an AI specialist from NinA for a single project?

No, we no longer do one-off projects. We only build within the AI Partnership, so that after delivery there's also someone who keeps it running. A one-off talk or workshop is possible. If you're looking for one well-defined connection and your own IT can manage it, a freelancer is probably a better choice.

How do I keep the knowledge when the specialist leaves?

Document what was built and why, let colleagues look along and make simple applications themselves, and make sure the code and data are yours. At NinA, what we build belongs to the client, and we train the team so the knowledge doesn't sit with one person.

Not sure which route fits?

In a fifteen-minute intro call we'll tell you which route we would choose. Even if that's not us.

  1. 01

    Intro call

    Fifteen minutes, no strings. Where does work get stuck and what do you want to achieve?

  2. 02

    AI Quick Scan

    One day on site. Within a week, a business case and a roadmap.

  3. 03

    AI Partnership

    A dedicated team that builds, trains and shows what it delivers every month.

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