Independent AI advice for SMEs, from someone who builds the technology every day. Not strategy slides that disappear in a drawer, but choices that match how AI actually works, with the delivery included if you want it.
An AI consultant helps you choose which AI actually pays off in your business before a single euro goes to technology. For SMEs that means no eighty-page report, but a prioritised roadmap and a business case per use case, concrete enough to act on. DataDream delivers that advice as an independent party and can build it afterwards too.
Most AI consultants come from the big firms: Deloitte, Accenture, the large agencies. Fine for a corporation with its own IT department, but for an SME a months-long engagement is too slow and too expensive. SMEs need someone who builds the technology themselves, moves fast, and explains in plain language what does and does not work.
That is the difference at DataDream. The advice comes from the same person who puts the solution into production afterwards. No abstraction, no assumptions that fall apart in practice. Build or buy, which tool, which risks, what it returns in hours or revenue: choices that match how AI actually works. And the advice stands apart from the delivery, so there is no incentive to push you toward one tool.
If you want to know which concrete AI solutions exist for your processes, that is the best starting point. Based in Zeeland? Also look at local AI advice from Middelburg. Or start at no cost: fill in the AI Readiness Scan for a first analysis, or book a call. If it is not a fit, I will say so honestly.
Organizations working with DataDream
The options pile up (ChatGPT, agents, automation, voice) and every vendor says something different. You know AI can help, but not which use case first, or with what approach.
A readiness analysis and prioritised roadmap give a clear starting point: which use case first, and exactly why that one.
Budget is limited and a wrong AI choice is expensive and demoralising. You want to know what an investment returns before you make it.
A business case per use case before you invest, with honest advice on what does and does not pay off in your situation.
A large consultancy engagement takes months, costs a fortune and mostly produces slides. For an SME that does not match the pace or the budget.
Short, reviewable phases with a direct line to the person who also builds. You decide after each phase whether it continues, with no large up-front commitment.
For every task there are ten tools. Some you build yourself, some you buy off the shelf, others you take as a subscription. The right choice is hard to oversee.
A vendor-neutral build-vs-buy recommendation per component. No stake in any one tool, so the choice is about what works for you.
Another agency made a proposal, but you lack the knowledge to test whether it holds up, whether the price is reasonable and whether the promised results are achievable.
An independent second opinion from someone who builds themselves and has no stake in the party that made the proposal.
Laurens helped us bring a programme offering to life that was yet to be launched. We worked very well together on this project. Here's to more great cases where we can use AI to improve our services!
Jordi Dooge
Business Scout, Dockwize
An AI consultant helps you choose which AI pays off in your business before you invest. Concretely: mapping the high-impact areas, working out a business case per use case, giving a build-vs-buy recommendation and delivering a prioritised roadmap. At DataDream that advice comes from someone who also builds the solution afterwards, so it stays concrete rather than abstract.
It depends on scope: a second opinion on a quote is very different from a full advisory track with a roadmap. The first call and the AI Readiness Scan are free, so we first check together whether there is a worthwhile case. A tailored proposal follows. No fixed packages that push something you do not need.
Advice comes one step earlier. An AI consultant is about the choices: which use case first, what it returns, build or buy, which risks. An AI agency then builds that solution. DataDream does both, but you can take the advice on its own. Want it built afterwards? That can happen here or with another party. No lock-in.
SMEs specifically. Large consultancies target corporations with their own IT departments and months-long engagements. DataDream is built for SMEs: moving fast, short phases, plain language and a direct line to the person who also builds. No six-month enterprise project.
Both, but the advice stands on its own. You do not have to take the delivery from DataDream for the advice to be valuable. That keeps the advice vendor-neutral: there is no incentive to push you toward one tool or one build. If you do want it built, that can run as AI implementation or by engaging an AI specialist; I know the technology because I use it myself.
Yes. A second opinion on a plan, quote or proposal you already have is a frequently requested track. DataDream tests whether the approach holds up, whether the price is reasonable and whether the promised results are achievable. Independent, because there is no stake in the vendor that made the proposal.
Part of the advice. For each application, an assessment of which AI Act risk category it falls under, what you must document and where human-in-the-loop is needed. DataDream works with GDPR-compliant tools, signs standard data-processing agreements and offers EU-only data storage on request.
In short, reviewable phases. First an intake and process analysis to see where AI really makes an impact. Then prioritisation: which use cases return the most for the least effort, with a business case for each. Then a roadmap with the choices laid out. You decide after each phase whether the track continues.
A recurring example: a company processes incoming requests entirely by hand, costing hours every day. The advice starts with the build-or-buy question. Often an AI agent that reads requests and drops them straight into the CRM returns the most for the least effort, because the link to existing systems is what makes the difference. The goal: the manual work per request gone, a shorter turnaround, and people freed for the work that does need attention. I work out the business case for it up front, so you know what it returns before anything is built.
Repetitive work with a clear structure pays off fastest: recurring reports, content production at volume, email and lead follow-up, and reading documents. These are exactly the spots where an AI agent or AI automation can take manual work off your plate, when it is set up well. In the advice I prioritise those spots by impact versus effort, so you start with the use case most likely to pay off, not the trendiest one.
Book a free call or send us a message. We always respond within 24 hours on business days.
Phone
+31 85 124 95 22Location
Middelburg, Zeeland
Availability
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