Your AI Agents with d.velop AI
AGENTIC WORK WITH D.VELOP AI
Anyone who can delegate tasks can use agents.
AI agents are not IT projects. They are a new way of working. Instead of doing tasks yourself, you describe in natural language what should be done. The agent reads documents, summarises relevant information and delivers decision-ready templates. Like a team member you have onboarded, who gets better with every piece of feedback.
d.velop AI offers two paths: Custom Agents that you configure yourself, and Content Agents that are ready to use directly in d.velop products. Both run natively in the d.velop content platform.
Custom Agents: Your expertise, as an agent
You describe in natural language what the agent should do. It reads documents, prepares results and acts independently.
- Configure agents in natural language
- Bring in your own domain expertise and rules directly
- Runs natively in d.velop documents — no system switching
Content Agents: Ready to use in your products
Pre-configured agents are embedded directly in d.velop products. They start without any setup effort and work on the basis of your own content and rules.
- No setup, no effort
- Available directly in d.velop contracts, d.velop invoices and d.velop documents
- Immediately aligned with your content and processes
Agents that work together
Multiple agents take on defined tasks and automatically hand results to the next agent. Complex workflows run through without manual coordination.
- Each agent takes on a clearly defined task
- Handoffs happen automatically rather than manually
- Scales with growing process depth
Classic chatbots have shown where their limits lie. AI agents are the next logical step — not as a technology experiment, but as a way to make AI effective where work actually happens.
Jan Föcking
Senior Software Development Engineer | Artificial Intelligence
d.velop AG
Permissions without exception
d.velop AI only accesses content for which permission exists. What employees are not allowed to see, their agent cannot see either.
- Existing permission structures apply to agents as well
- No uncontrolled data access
- Confidentiality even in cross-departmental workflows
Traceable – every step
Every agent decision can be traced back to its basis. Who decided what, when and on what basis is always viewable and auditable.
- Decision basis for every agent action
- Complete audit trail
- Build trust instead of delegating blindly
Free model choice and full control
d.velop AI is not tied to a single AI model. You choose the model that suits your use case. European and without vendor lock-in.
- Model choice per use case
- No vendor lock-in
- European data hosting as an option
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.
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 the provision of base technology through to your own agents — or want to integrate your data from the d.velop content platform into another AI ecosystem. Via the standardised Model Context Protocol (MCP), we offer you both access to the features of the d.velop content platform and the ability to use functions from third-party systems with your d.velop agents. Open interfaces guarantee you the choice of the right platform.
d.velop agents in action: real-world use cases
Clean up meeting notes. Create a briefing. Done.
After every meeting, notes land in d.velop documents. A Custom Agent automatically cleans them up, corrects typos, shapes sentences and stores the revised version. A second agent reads all notes on a topic, summarises the key points and creates a ready-to-use briefing for the next appointment. You describe once what the agent should do. Then it runs.
Review NDAs without burdening the legal department.
Incoming contracts are automatically checked against your internal policies. Clauses that don’t fit are flagged. Your legal department focuses on the cases that truly require experience and judgement. The agent handles the routine.
Set general ledger account and cost centre automatically.
d.velop AI reads incoming invoices, matches them against historical bookings and sets the general ledger account and cost centre automatically. Corrections are always possible. The approval process starts immediately, without manual data entry.
Every document lands automatically in the right place.
Incoming documents are recognised, classified and automatically filed correctly. Metadata is assigned, permissions apply immediately. What used to be sorted manually now lands in the right place without any intervention.
Veelgestelde vragen
Your questions about AI agents with d.velop AI.
AI agent software refers to systems that independently plan and execute recurring tasks without constant manual intervention. In a business context, AI agents are used wherever processes are clearly defined and occur regularly: document processing, invoice approvals, contract management or knowledge queries. d.velop AI integrates agents directly into existing document and process workflows, so employees immediately benefit from automation.
A suitable AI agent software combines simple configuration with deep process integration. d.velop enables you to configure your own agents via natural language, without programming knowledge. Crucial is the native embedding in existing systems. Agents in the d.velop content platform work directly in d.velop documents and d.velop process studio and fit into system environments such as SAP or Microsoft 365, without needing to set up a separate tool.
Custom Agents are configured by you — in natural language, based on your own domain expertise and rules. You determine what the agent should do, which documents it reads and what results it delivers. Content Agents are pre-configured and embedded directly in d.velop products, for example in d.velop contracts for contract analysis or in d.velop invoices for invoice processing. Both run natively in the d.velop content platform and benefit from the same permission and security structures.
Agents in the d.velop content platform work exclusively with data for which permissions exist. Existing permission structures apply to every agent without separate configuration. Every agent decision is traceable to its basis and auditable. Data is hosted in European data centres; the choice of model rests with the customer.
No. Custom Agents are configured in natural language. You describe to the agent which task it should take on, and it gets going. Anyone who can brief team members can configure agents. Technical AI expertise is not required.
A chatbot responds to inputs and delivers answers within a fixed framework. An AI agent plans and executes tasks independently, step by step, until a result is available. It decides autonomously which tools to use, which data it needs and in what order to proceed. Instead of an answer, you receive a completed result directly within your process.
Agents in the d.velop content platform integrate into existing system landscapes via more than 500 available interfaces — including SAP, Microsoft 365, Salesforce and other ERP and CRM systems. Integration takes place without media breaks, so agents can access documents directly in d.velop documents and processes in d.velop process studio.
Demo d.velop agents
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