Deploying AI securely
WHY CONTROL MATTERS
40% of AI projects fail not because of the model – but because of governance.
According to Gartner, by 2027 more than 40% of all Agentic AI projects will be abandoned – not due to the technology, but because clear rules are missing about who is allowed to use AI for what purpose. At the same time, the EU AI Act will be fully applicable from August 2026, placing concrete requirements on organizations: activity logs, risk assessments, and human oversight.
d.velop AI is the answer: transparency, permission structures, and human control are not add-on modules – they are architecture. Firmly anchored in the intelligent d.velop content platform.
Humans at the center
The d.velop agent center (available from Q4 2026) controls all AI processes and makes every decision transparent, traceable, and auditable – across systems, agents, and people.
- Complete transparency over every AI operation.
- Intervene, correct, roll back. At any time.
- Accountability as a system property, not an organizational question.
Your data. Your permissions.
d.velop AI ensures that AI only works with data it is authorized to access. Results are transparently traced back to their sources.
- Permissions apply within AI processes too.
- No statement without a verifiable source from your content.
- Full cost control across all models.
Model Freedom as Standard
Sovereignty means freedom of choice. Free model selection, Model Context Protocol (MCP) as an open integration standard, and an infrastructure that grows with your requirements.
- You choose the AI model. We deliver the platform.
- MCP-ready, open to any system landscape.
- Scales with you: from the first integration to enterprise scale.
Blog Post
IT Trends 2026: From Vision to Responsibility – Where Agentic AI Meets Digital Sovereignty
In 2026, the defining shift in IT is no longer about the speed of new AI models, but about the maturity with which organizations apply them. d.velop CTO Nico Bäumer identifies three trends shaping this year: agentic AI, which moves beyond rigid workflows toward goal-oriented systems that keep humans in control; vertical AI, where domain-specific models trained on structured business data replace generic solutions; and digital sovereignty, which has become a strict architectural requirement for any responsible AI strategy. Together, these three developments form the foundation for sustainable, AI-driven transformation in 2026.
AI needs a framework. Ours is european.
European. Independent. Family-owned.
d.velop is a European-owned company, family-run and free from external influences. This enables long-term thinking – from which you as a customer directly benefit.
In the current Gartner Magic Quadrant for Document Management 2026, d.velop is the only fully European and independent company among 16 global vendors. Customers know who d.velop is today. And who d.velop will still be in five years.
Freedom of choice instead of vendor lock-in.
d.velop AI is available in the cloud and in hybrid scenarios. Organizations choose their AI models themselves. d.velop handles the complexity, so IT decision-makers can focus on making the right choice.
By default, d.velop provides suitable AI models. Organizations that want to integrate their own models can do so via OpenAI-compatible interfaces. The choice is with the customer. AWS and T Cloud Public are available as cloud options, with nearly identical feature sets in every deployment model.
Built for Europe. Ready for the world.
Software that treats EU AI Act, NIS2, and GDPR as design principles meets the highest compliance requirements worldwide. What was developed for Europe works in every region.
Regulatory requirements at d.velop are not an add-on – they are a building block of the architecture.
Integratie
Your IT strategy determines the choice of platform – not the other way around.
d.velop AI integrates seamlessly into your AI strategy. Whether you rely on the native capabilities of d.velop AI – from providing foundational technology to running your own agents – or want to integrate your data from the d.velop content platform into a different AI ecosystem. Through the standardized Model Context Protocol (MCP), we offer you both access to d.velop content platform features and the ability to use third-party system functions with your d.velop agents. Open interfaces guarantee you the freedom to choose the right platform.
d.velop AI Architecture
One architecture. Five layers. One goal.
d.velop AI is built in five layers – from the technical foundation to finished AI experiences. Each layer contributes to control, transparency, and productivity. The foundation is set. On top of it, new AI experiences are continuously created that work directly in your business processes. Firmly anchored in the intelligent d.velop content platform.
Veelgestelde vragen
What IT decision-makers need to know about deploying AI securely
d.velop AI is not an isolated product but a comprehensive AI architecture deeply integrated into the intelligent d.velop content platform. It consists of five layers: technical foundation, Trust Layers, Agent Center, AI agents, and AI experiences. Each layer fulfills a defined role – from technical infrastructure to ready-to-use AI experiences such as d.velop pilot, IDP, and d.velop process studio. d.velop AI is therefore not an extension of the platform – it is part of it.
Your organization’s existing permission structures apply directly to every AI process. What employees are not allowed to see, their agent cannot see either. In addition, all AI responses are anchored directly in the content of your documents. Statements can be traced back to their source at any time – uncontrolled inferences are prevented. This protects against data leaks and ensures the traceability of every output.
The d.velop agent center signals when human intervention is needed and when it is not. For business-critical workflows, high complexity, or regulatory requirements, the system pauses and waits for a human decision. At the same time, it is possible to define which tasks agents are allowed to handle fully autonomously. People decide how much they delegate. Control is maintained at all times.
Yes. d.velop AI is model-flexible. Organizations choose the appropriate model based on their use case and regulatory requirements – whether OpenAI, Anthropic, Google, or open-source alternatives. Via MCP as an open integration standard, d.velop AI securely connects the chosen model with the relevant enterprise context. d.velop handles the integration. The decision is made by the customer.
Most AI solutions communicate governance as a feature. At d.velop, governance is an architectural principle. Every AI operation is documented in a revision-proof manner – not as an add-on module, but as a core mechanism. Permissions apply in every AI process. Humans retain decision-making authority, always. Add to this European independence as the only fully European vendor in the Gartner Magic Quadrant for Document Management 2026.
The EU AI Act sets five key requirements: complete activity logs, demonstrable risk assessments, ensured human oversight, controlled data access, and transparency over AI decisions. d.velop AI meets these through concrete architectural decisions. The d.velop Agent Center documents every AI operation in a revision-proof manner. Human in the Loop is not a configuration option – it is a core mechanism. d.velop Trust Layers ensure that AI only accesses authorized data. As a European company, d.velop develops software with this legal framework and its requirements as a design principle.
d.velop is a family-owned, European company with no US parent company. The US Cloud Act does not apply to d.velop. Data storage and processing take place exclusively within the EU legal framework. This is not a marketing statement – it is a direct consequence of the company structure. At the same time, organizations have the choice: those who want to use AWS can do so with d.velop AI. Those who prefer a fully European setup will also find the right option at d.velop. The decision is with the customer.
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d.velop AI is ready when you are. Talk to us about your specific use case or challenges and find out how trustworthy AI can become productive in your organization.