Beta-Version d.velop agent center
Why Agentic AI Needs Governance
AI Agents work. Who keeps track?
With AI agents and automation, tasks are no longer created solely by humans. They emerge as the result of decisions made in documents, specialist systems, and agentic processes – distributed, parallel, and without clear accountability. Classic task tools manage tasks. They do not explain why work exists, what has already been decided, or who is responsible.
The d.velop agent center closes this gap. As an Agentic AI Control Plane – a central control and monitoring layer for all AI processes and decisions in your organization – it connects productivity and compliance, natively embedded in the d.velop content platform.
Transparency – making work visible
The d.velop agent center shows which work exists, why it exists, and which decisions are behind it – across systems, processes, and agents.
- Overview of all work you are responsible for
- Decision context for every task
- Central hub for structured and unstructured tasks
Accountability – clear assignment guaranteed
Every decision can be assigned to an accountable role – regardless of whether it was triggered by a human, a rule, or an AI agent.
- Clear assignment even for AI decisions
- Audit-proof decision records
- Unambiguous responsibility as the foundation of the system
Human Involvement – intervene when it counts
The d.velop agent center signals where human intervention is needed. Automation continues where it is safe and approved.
- Targeted intervention points for humans
- Delegate autonomy, retain responsibility
- Control through prioritization, not micromanagement
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.
d.velop agents in action: Real-World Use Cases
Clean up meeting notes. Create briefing. Done.
After every meeting, notes land in d.velop documents. A custom agent automatically cleans them up, corrects typos, shapes sentences, and saves the revised version. A second agent reads all notes on a topic, summarizes the key points, and creates a ready-made briefing for the next appointment. You describe once what the agent should do. After that, it runs on its own.
Review NDAs without burdening the legal department.
Incoming contracts are automatically checked against your internal guidelines. Clauses that do not match are flagged. Your legal department focuses on the cases that truly require experience and judgment. The routine is handled by the agent.
Automatically set G/L account and cost center.
d.velop AI reads incoming invoices, matches them against historical postings, and automatically sets the G/L account and cost center. Corrections are possible at any time. The approval process starts immediately, without manual data entry.
Every document automatically filed in the right place.
Incoming documents are recognized, classified, and automatically filed correctly. Metadata is assigned, permissions apply immediately. What used to be sorted manually now ends up in the right place without intervention.
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 base technology to your own agents, or want to integrate your data from the d.velop content platform into a different AI ecosystem. Via 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 your choice of the right platform.
Veelgestelde vragen
d.velop agent center: Your questions, Our answers
The d.velop agent center is the central control and monitoring layer for agentic work in organizations. It consolidates tasks, decisions, and AI processes into a shared model, making them visible, prioritizable, and accountable across systems. The d.velop agent center is not a standalone product solution, but a central capability within d.velop documents and the d.velop content platform.
The d.velop agent center is aimed at organizations that already use or are actively evaluating AI agents and automation. It is particularly relevant for IT managers and executives who need transparency over agentic processes and must ensure that decisions remain traceable and compliant.
As automation increases, tasks are created in a distributed manner across specialist systems, workflows, and agentic processes. Classic task tools manage these tasks, but do not explain why they exist, what has already been decided, or who is responsible. The d.velop agent center closes exactly this gap: with complete decision context, clear accountability assignment, and organization-wide transparency.
Yes, but not only. Tasks are the most visible entry point. The real added value lies beyond: in the management, prioritization, and traceability of work across systems, processes, and agents. The d.velop agent center is both a task tool and a control layer.
The d.velop agent center is designed to meet the requirements of the EU AI Act, GDPR, and industry-specific compliance requirements. Governance is an integral part of the architecture. Decision bases, responsibilities, and priorities are documented in an audit-proof manner.
Data sovereignty means that your organization decides at all times which data is used for what, which systems or agents have access, and how decisions are documented. External systems and agents can be integrated without relinquishing decision-making authority or responsibility. Data is stored within European legal jurisdictions.
The entry is evolutionary, via document-centric work in d.velop documents. From there, the d.velop agent center gradually opens up to further d.velop products and external systems. Existing installations remain unchanged – the d.velop agent center complements them.
The d.velop agent center will be available in Q4 2026. At the d.velop summit 2026 you will receive a first preview. Register now and be among the first to be notified as soon as the d.velop agent center is available.
Demo d.velop agent center
Register now for a live demo of the d.velop agent center!
Available from Q4 2026, register your interest now. The d.velop agent center is currently in development and is not yet available for purchase.