DataDream works with SMBs (10 to 100 employees) and scale-ups whose growth curve outpaces manual work. The typical client has one concrete problem that costs a lot of time (invoice posting, customer service, content production, lead routing, reporting) and wants to know whether AI can solve it without months-long platform projects. DataDream builds sector-specific for accountants, lawyers, recruiters, real estate agents, e-commerce, marketing agencies, education and tourism. The approach is the same, the content differs per sector. If you want to know first which AI pays off in your processes, AI consulting is the step before this.
The method is three steps. First Analysis: a free Quickscan that shows in five minutes where the biggest time or error gain sits. Then Strategy: a short AI roadmap that determines per use case whether agents, automation, training or a hybrid is the right answer, with realistic scope, costs and timeline. Then Implementation: a first working version in production quickly with a limited user group, then measure and expand. No big-bang launches, no six-month pilots.
What sets DataDream apart is the combination of engineering and pragmatism. Tool-agnostic: per project the best fit from UiPath, Power Automate, n8n, Workato, Python or a hybrid gets chosen, not via partner lock-in. Agentic AI specialist: voice agents, document extraction and RAG on your own knowledge base are daily work. AI Act-aware: audit trails are on by default, a compliance file is part of delivery. DataDream works from the Netherlands (Middelburg, Zeeland) but builds for the whole NL/EU/US. For the broader automation roadmap and RPA-specific work there are separate pages.