Hire an AI consultant for your organisation
An AI consultant from Crux Digits finds the process where AI pays off and builds it into production next to your ICT partner. You get a fixed price per step and you own the code.
For the IT manager, CIO or information manager of an organisation with 250 to 5,000 employees who wants to hire an AI consultant without adding a second ICT supplier. Crux Digits works alongside your existing ICT partner or IT department: we find where AI pays off in one process, build it into production and hand over the code and documentation. A fixed price per step, one named expert from audit to production, and the EU AI Act and GDPR handled from day one.
Last updated: 14 September 2026
An AI consultancy tells you where AI pays off; Crux Digits also builds it. In 2024, 22.7% of Dutch companies with 10 or more employees used AI, up from 14% in 2023, but only 22.2% of firms with 20 to 49 staff (CBS AI Monitor 2024). Crux Digits works from Utrecht in three fixed steps: an audit that ranks your use cases by return, a Production-ready MVP on your own data and a production launch, with 13 published case studies and the code handed over.
How do you hire an AI consultant in the Netherlands?
You hire an AI consultant at Crux Digits for a bounded engagement (an audit, a Production-ready MVP or a full production build), without a permanent hire or an open-ended retainer. Whether you call it an AI consultant, an AI specialist or an AI business consultant, it is the same engagement: one person who carries the work next to your own IT team. No day rates that creep up: you pay a fixed price per step and know where you stand up front.
On-site in the Utrecht region or remote, across the Netherlands and the Benelux. You work with one named expert who carries the engagement end to end, with no rotating team and no handover, and you own the code and models we deliver. The first step is a 30-minute call about the process you want to tackle.
Prefer to see what AI could concretely do for your business? Book a free consultation.
What does an AI consultancy do for your organisation?
An AI consultancy advises an organisation on where artificial intelligence genuinely pays off and, in most cases, also designs, builds and operates the resulting systems. Four deliverables cover nearly every engagement: an assessment with a euro figure per opportunity and an honest no where it does not pay, working software on your own data, a production system integrated with what you already run (AFAS, Exact, your ERP or WMS), and the compliance work around it (EU AI Act and GDPR) designed in rather than audited in afterwards. What separates a good one from a general software shop is the start: they begin with your data and your processes, not with the technology.
At Crux Digits the assessment ends in a shortlist ranked by impact and risk, and the build ends in a system that runs. No 80-slide report that nobody reads.
Will you work with our ICT partner?
Yes. Crux Digits is not an ICT partner and does not take over infrastructure, the service desk or systems management. We build the AI system on the interfaces your ICT partner already manages, and we agree before the build who carries what after go-live. Afterwards it is a discussion between two suppliers.
| Task | Your ICT partner | Your IT department | Crux Digits |
|---|---|---|---|
| Hosting, workplace, service desk | Runs it, unchanged | Manages the supplier | No role |
| Access to ERP, CRM and ticketing | Manages the interfaces and the rights | Approves the access | Builds on the existing interfaces |
| Change to a model or prompt | Runs the release if it lives in their environment | Takes the change to the CAB | Supplies version, note and evaluation run |
| Incident: the system runs, the output is wrong | No role, unless the cause is availability | Logs it under its own category | Triage on model and data |
| Handover | Receives the deployment scripts | Becomes owner of code, documentation and evaluation set | Hands everything over in your repository |
How that split works phase by phase is set out under the AI implementation partner next to your ICT partner.
What each role gets from an AI consultant
- CIO or IT director. One process with a euro figure attached instead of an AI strategy across nine processes, and a fixed price and a decision at every step.
- IT manager. A supplier that works inside your change process: DTAP, changes through the CAB with a version and an evaluation run, and a handover your own team or ICT partner can carry.
- Security officer. The AI Act risk tier and the GDPR legal basis per use case, input for the DPIA where article 35 GDPR requires one, and access through the rights your ICT partner already manages.
- Information manager. One line per system for the AI register (purpose, owner, data, supplier, risk tier) and documentation that reads without us.
When should you bring in an AI consultant?
At three moments: when repetitive work (invoices, work orders, orders, customer queries) costs half an FTE, when data sits unused in AFAS, Exact or your ERP, or when there is an AI idea you want tested before you invest big. If you cannot name a measurable problem yet, start with the audit.
What you probably want next.
From kick-off to production: audit, Production-ready MVP, production
Three fixed steps, each with a fixed price and a fixed timeline. Added up, kick-off to production takes roughly 13 to 20 weeks when each step follows straight on from the last. Go from audit to MVP within 60 days and the audit fee is credited in full:
AI Audit & Strategy: €2,500
In one to two weeks, a ranked list of use cases with cost, saving and payback per opportunity.
Production-ready MVP: €20,000
Working software on your own data in four to six weeks, built to be kept.
Production Launch: from €50,000
From eight to twelve weeks: integrated with your systems, in production, monitored and maintained.
- KvK 87456346Registered in the Dutch Handelsregister
- Since 2022Crux Digits B.V., Utrecht region
- 13 casesPublished, each with its own number
AI Crop-Quality Detection & Workforce Allocation
What we found. Across thousands of hectares and a 10,000-strong workforce, quality and plant-protection decisions relied on manual spot-checks and experience. Effort and chemicals were spread too thinly to be efficient, and early pest or disease signs were easy to miss until they spread.
Real result from a Crux Digits engagement; client name withheld pending permission.
What does an AI consultant cost in the Netherlands?
Dutch AI consulting typically bills €100–€200 per hour (enterprise firms higher). Audits run €2,000–€10,000, proof of concepts €15,000–€40,000 and production builds €40,000–€150,000+. An hourly engagement is open-ended: the final bill is not fixed up front.
Crux Digits quotes fixed steps instead: audit €2,500, Production-ready MVP €20,000, production from €50,000 (excl. VAT), each with scope and timeline agreed before work starts. See the full 2026 price breakdown.
Which specialism does your problem need?
The titles in this market overlap, but they do signal different scopes. Search the wrong one and you get quotes for work you do not need.
- Data & AI consultancy: The data layer comes first. This is what you want when your data sits scattered across systems and no model can run on it yet. Often that is the real project, with the AI as the last step.
- AI strategy consulting: The deliverable is a plan, not a working system. Useful when someone else will build it. If you ask a firm that also builds, agree explicitly whether code is included.
- Machine learning consultant: Narrower: one model to one agreed accuracy. Right when the problem is already sharp and you need someone to model it, not someone to find it.
- Artificial intelligence consulting: The formal phrasing, used most in enterprise and public tenders. In practice the same engagement as AI consulting, so do not read extra scope into it.
Separate from all of that is the question of size: the large AI consulting firms or a boutique. That difference is overhead and minimum engagement size, not quality: boutique versus Big Four in the Netherlands.
AI consultant or AI agency: which do you need?
An AI consultant helps you decide: where will AI pay off, in what order, and what is realistic given your data and budget? An AI agency builds: it takes a chosen use case and delivers working, integrated software. If you do not yet have a validated use case, start with the €2,500 audit; it prevents spending €50,000 building the wrong thing. If you already know exactly what needs building, go straight to the build track. At Crux Digits both roles sit in one team, so the strategy never gets lost in a handover.
Still unsure? The rule of thumb: choose consulting when your question starts with "where" or "whether" (where does AI fit, whether this is feasible), and an AI agency when it starts with "build" (build this for us). For the build track, see the AI agency in the Netherlands.
Want to see AI consultancies side by side first, including the cases where a large firm is the better fit? That is in our comparison of AI consultancies in the Netherlands. Looking for one person to think along without building, read what an AI advisor does.
Which AI consultancy services do we provide?
Everything under one roof. Explore all services:

AI by industry
Every sector runs its own systems, documents and rules: a WMS and CMR in logistics, an EPD in healthcare, the Wkb in construction, the Wwft in accountancy. Our industry pages speak that language. Browse all industries, each naming the systems, documents and rules that sector actually runs on.
What have we taken to production?
Thirteen published case studies, from predictive maintenance and demand forecasting to concrete crack detection and clinical decision support. Each one names the problem, the approach and the figure the client measured. Read the case studies.
AI consulting across the Netherlands
Based in Utrecht, with short lines to the whole Randstad and the Benelux. Areas we work in include:
The questions that decide every AI project.
Each guide below answers one question with figures you can check. The line under it says what is inside, so you open only what you need.
- AI consultancy pricing 2026Dutch hourly rates of €100 to €200 set against fixed steps, with 2026 ranges per phase.
- AI implementation: cost and timelineThree phases from €2,500, and how long each one really takes.
- What an AI proof of concept costsWhere the money goes across audit, pilot and production, and what drives the number.
- What a chatbot costsA SaaS tool, a configured bot, or a custom agent on your own data, priced side by side.
- AI maintenance and supportManaged support at €500 a month: monitoring, updates and monthly improvements.
- AI subsidy and WBSO 2026WBSO at 36% on the first €391,020 of R&D labour, with MIT and SLIM on top.
- Applying for the SLIM subsidyWho qualifies, what the application asks for, and the rounds to plan around.
- How to run an AI pilotOne bounded use case, proven on real data against a baseline you agree first.
- AI readiness assessmentWhat has to be true about your data and process before a build is worth starting.
- AI adoption in the Dutch MKBCBS and Eurostat figures by company size and sector, with the EU comparison.
- AI consultancies comparedAn honest comparison, including the cases where a large firm is the better fit.
- An AI consultant for SMEsFixed prices, one named expert, and when an SME does not need a consultant at all.
- Agency or in-house teamCost, time to value, and the skills you would have to hire and keep.
- Dutch or offshore developmentTimezone, EU AI Act and GDPR exposure, and the rework that decides the real price.
- Fixed price or hourlyBudget certainty against scope risk, and which one suits which kind of build.
- AI agencies in the NetherlandsWho does what in this market, by size and specialism.
- The AI Act high-risk deadlineThe Digital Omnibus moved Annex III duties to 2 December 2027 and Annex I to 2 August 2028.
- Software developmentWeb applications, internal tools and integrations around your own process.
- AI agent developmentAgents that act in your tools and APIs, with guardrails and a person on exceptions.
- A private AI assistantYour own documents, answers with a source, in your tenant or on premises.
- An internal knowledge baseBuild or buy: SaaS from €89 a month or a private build from €20,000, and how to choose.
- Excel automationWhich spreadsheet to replace first, and what replaces it.
- Process automationThe five tests a process has to pass before automating it pays.
- API integrationGetting two systems to agree, and what that costs to keep working.
- Data analyticsForecasting and customer analytics on the data you already hold.
- Applied AI and machine learningWhat a mid-sized company can expect from ML, and what it cannot.
- Custom software or a packageThe test that decides it, and why company size is not the test.
- Choosing a software companyWhat to ask, what to ignore, and the contract terms that matter.
Frequently asked questions
Do you take on projects outside the Randstad?
Can you implement AI for an English-speaking company in the Netherlands?
Does an AI consultant also come on site?
What is an AI consultancy?
When is an AI consultancy worth it over hiring in-house?
How much does AI consulting cost in the Netherlands?
Can you hire an AI consultant at Crux Digits?
Can we hire an AI specialist next to our own IT team?
Where is Crux Digits based?
Do you work in an EU AI Act- and GDPR-compliant way?
Which industries do you work with?
How quickly can we start?
What is the difference between an AI consultant, an AI consultancy and an AI agency?
Why hire an AI consultant in the Netherlands rather than build in-house?
The cost of learning on your own data
Plenty of Dutch companies have the talent to learn AI eventually. The question is whether the first attempt should be on a live, revenue-critical process. The expensive failures we are called in to repair tend to share a pattern: a promising notebook that never survived contact with real data, a model with no monitoring that quietly drifted, or a chatbot shipped without a GDPR/AVG review that legal later froze. When you hire an AI consultant who has already taken systems to production, you are buying the mistakes someone else has already made, and the guardrails that prevent them.
Where a consultant earns the fee
- Feasibility before spend. An honest read on whether your data can actually support the idea, before a euro of build budget is committed.
- Prioritisation. A ranked shortlist of use cases by projected return and risk, so the first project is the one most likely to pay back.
- Build-vs-buy clarity. Knowing when an off-the-shelf API beats a custom model, and when it does not. The guide on build versus buy works the decision through on cost of ownership, switching cost and the data you would be handing over.
- Ownership at the end. The client ends up owning the solution, the code and the documentation, not renting a black box.
What an AI consultant in the Netherlands delivers, by sector
A good AI consultant in the Netherlands does not arrive with a single product to sell. The right intervention depends entirely on the sector, the data and the regulatory weight attached to a decision. Across the 13 case studies Crux Digits has delivered (client names confidential), the work has spanned machine learning, computer vision, NLP and forecasting. The shape of a typical engagement looks different per industry:
- Healthcare. Decision support, document and image analysis, and forecasting, where the EU AI Act risk tier and AVG handling of patient data drive the architecture as much as the model itself.
- E-commerce and retail. Demand forecasting, recommendation, search relevance and automated content generation that keeps margins intact during peak.
- Logistics. Route and capacity optimisation, predictive maintenance, and computer vision on goods, vehicles and sites.
- Finance and insurance. Risk scoring, fraud signals and document automation, all built to survive an auditor reading the model card.
- Marketing and web agencies. Here Crux is an AI engineering partner, not a competitor: we build the models and pipelines behind an agency's offering. We serve agencies; we are not ourselves a marketing or web agency.
Whatever the sector, the deliverable is the same in spirit: a system in production, monitored and maintained, with the reasoning documented so your own team can run it.
The economics: boutique pricing versus enterprise day rates
A fixed ladder instead of an open meter
The most common question in a first call about AI consultancy Nederland is "what will this cost?", and the most telling answer is whether anyone will give you a fixed number. Crux Digits publishes a fixed three-step ladder (all prices excluding VAT):
- AI Audit & Strategy, €2,500. A prioritised opportunity list with projected cost, savings and payback per use case, a candid data assessment, and an EU AI Act and GDPR/AVG check up front.
- Production-ready MVP, €20,000. A working proof on your own data, in weeks, that de-risks the production decision.
- Production Launch, from €50,000. A full system, live and maintained, that your team can own.
As day-rate guidance, our work sits around €150 per hour, well below the blended rates the large consultancies attach once partners, account managers and overhead are loaded into a programme. The full breakdown lives on the pricing page, and the reasoning behind each tier is explored in our note on AI consultancy pricing for 2026.
Why fixed steps reduce your risk
A fixed price for a well-bounded first step shifts the risk onto the consultant, where it belongs. You spend €2,500 to find out whether the €50,000 build is worth doing, rather than discovering halfway through an open-ended engagement that the data was never going to support the goal. For an IT department that has to defend a budget line to finance, that predictability is what makes AI a planned change instead of a gamble.
Compliance is not an afterthought: EU AI Act and GDPR/AVG
Dutch and European buyers carry a regulatory burden that consultancies elsewhere can ignore. Any AI-adviesbureau working here has to treat the EU AI Act and GDPR/AVG as design inputs, not paperwork bolted on at launch. At Crux Digits every engagement is classified against the EU AI Act's risk tiers from day one, and personal-data flows are mapped to AVG obligations before a model is trained, not after the Autoriteit Persoonsgegevens asks. That early discipline is less expensive than retrofitting: a system designed around its risk tier rarely needs to be torn down later.
If compliance is the part keeping your AI project stuck, the deep dive on EU AI Act compliance in the Netherlands walks through the tiers and what each one demands in practice.
Getting started with the right AI consultant in the Netherlands
How a first engagement runs
Most companies begin with a free 30-minute consultation, usually scheduled within days. If there is a fit, the €2,500 audit follows and produces a concrete plan within weeks. From there you can take that plan and execute it with your own people, hand it to another vendor, or, most often, let the same team carry it into a Production-ready MVP and on to production. Because strategy and build sit in one team, nothing is lost in a handover between a consultancy that advises and an agency that builds.
Where to go next
- Comparing firms first? See the AI consultancies compared, including when a large firm fits better.
- Explore the full range under generative AI, agentic AI development and the rest of our services.
- Considering funding? See the overview of AI subsidy and WBSO for 2026.
- Prefer to read in Dutch? The same page is available as AI-consultant inhuren.
An AI project does not need to start with a leap of faith or a six-figure commitment. It can start with one honest conversation, a fixed-price audit, and a partner who is just as willing to tell you "no AI here" as to build the system you actually need. That, more than any single model or buzzword, is what separates an AI consultant in the Netherlands worth hiring from the rest.
Ready to get started?
A free 30-minute call: you describe the process, we tell you whether AI pays off there and what the first step costs.
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