AI solutions for Dutch businesses

It depends on the problem, the scope and the tools you already use. A defined pilot for one process sits in a different price band than a full production system with multiple integrations, monitoring and audit trails. DataDream works with fixed pilot prices for scope-bound projects and hourly rates for open-ended ones. For a fair quote a 30-minute discovery call is needed: the right solution type gets assessed, scoped, and an indication given. Schedule a call via /en/contact.

DataDream almost always starts with one defined use case rather than a platform project. A first working version goes live quickly with a limited user group. Full rollout to the whole organisation follows only after measuring that it works. An AI Quickscan upfront, via the AI strategy, helps pick the right use case before building starts. A working solution in production delivers more value than a big roadmap that ships something in six months.

In most cases yes. DataDream works daily with CRM systems (HubSpot, Salesforce, Pipedrive, Teamleader), accounting packages (Exact, Twinfield, AFAS, Yuki), email (Outlook, Gmail), document platforms (SharePoint, Drive, Dropbox), telephony (RingCentral, Twilio, Aircall) and chat platforms (WhatsApp Business, Intercom). If a system has an API the integration is direct. If not, Zapier, Make, n8n or as a last resort controlled browser automation handles it. There is always a short technical check upfront so it is known whether an integration can be robust, or whether a workaround is needed.

Yes, that is the default. DataDream builds audit trails by default: every agent or automation decision is recorded with input, output, model version, timestamp and any human approval. For applications that may fall into a high-risk AI Act category, such as recruitment or credit scoring, an extended compliance file is delivered. For GDPR-sensitive data EU-only or on-premise deployment is available, with providers that contractually guarantee your data is not used for training. For the broader context see AI Act.

You decide. Documentation is delivered by default so you can make small adjustments internally. For clients who want to keep DataDream as their extended development team, there are maintenance subscriptions covering monitoring, prompt tuning and small changes. For clients who prefer to be independent after the build phase, DataDream stays involved by default for three months for unexpected issues, then hands over fully. Both models work; the choice depends on how technical your team is and how much change is happening in your processes.

With the free AI scan: an online assessment that maps in five minutes where the biggest time or error gain sits for your type of organisation. From there, one concrete use case where the pain actually sits is picked together. Not "we want AI", but "our admin team retypes 800 invoices a month". Such a use case often goes into production quickly. From that first success the scope expands to the next one, with numbers that prove it works before you scale up. Six-month AI platforms are no longer built.