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AI Agents & Automation
Less manual work. More done.
AI that helps you think and act. Let it prepare and carry out defined tasks so your team has more time for work that needs their attention.
- Your context
- Targeted implementation
- Human oversight
From work demand to execution
All that helps your team move forward
- 1
Begrijpt
The task and available context.
- 2
Prepares
A proposal with clear limits.
- 3
Executes
Only allowed actions; review where necessary.
- 4
Follows
Results and exceptions visible.
More capacity for your team, no unlimited autonomy or promise to replace employees.
Follow Leads
Collecting relevant questions and follow-up steps.
Preparing meetings
Bring together available context and conversation points.
Processing documents
Summarize information within authorized sources.
Update CRM
Only with appropriate linkage and explicit mandate.
Rapporteren
Bring together information for assessment and follow-up.
Examples, no warranty on any available link or partner status. APIs, rights, consent and scope determine what is possible.
Try the AI Assistant
AI Management PortalInteractive demo
From your question to a concrete next step.
AI Management PortalInteractive demoChat and AI executionYour AI Assistant
Olivier (CEO) · your question
What context do you need to do this?
DSC AI Assistant
A task sometimes requires information from multiple existing tools. System boundaries and access rights remain valid.
- Taakdoel
- Sources
- Connectorrechten
- Define required context
Just ask for the data that this task needs.
- Describe System Boundaries
Determine which source is read and where a proposal is prepared.
- Coordination of action
Valide the write capacity and permission per system.
May I prepare this proposal? First, look at the steps and boundaries.
Status: proposal ready
Example interaction · no live business data or external execution.Get more done, with human control.
Roles & Rights
Only access to what is necessary for the task.
Approvals
The competent person shall assess sensitive actions.
Logging & Audit
Make proposals, decisions and implementation traceable.
Limits & Recovery
Prefix exceptions, stops and recovery options.
Frequently asked questions
What exactly are AI Agents?
AI agents are software-based assistants that can analyse, prepare, carry out and monitor tasks within predefined rules. They use available business context and connected systems to take steps within the permissions, boundaries and approvals set by your organisation.
What tasks can AI agents carry out?
That depends on your processes and connected systems. Examples include handling emails, following up leads, updating CRM data, preparing meetings, analysing documents, generating reports, gathering information and coordinating workflows. We automate only tasks for which access and governance are in place.
Do we need to replace our existing systems for this?
No. We aim to keep existing software where it works well. Connectors can link ERP, Marketing Automation & CRM, email, documents and other systems to the central AI layer.
How are security and access rights handled?
Each agent operates within explicit permissions. Your organisation decides which data and systems it may access, which actions it may take independently and which require prior human approval. Important actions can be logged and reviewed.
Can an AI agent take action without a person intervening?
Yes, for tasks authorised in advance. Routine, low-risk actions may be automated. Approval steps can be required for sensitive, significant or hard-to-reverse actions.
What if AI makes a mistake?
AI can make mistakes. DSC therefore combines automation with permissions, approvals, logging and human review where needed. For critical processes, we deliberately limit autonomy and provide fallback or recovery mechanisms where appropriate.
How long does it take to implement an AI Agent?
That depends on process complexity, data, connectors and the desired level of autonomy. A clearly defined use case may start relatively quickly; more complex workflows require more analysis, integration and testing. DSC therefore works in phases.
Can we start with a limited scope?
Yes. That is often a sensible approach. We can start with one process or repetitive task, evaluate how it works and then expand in a controlled way.
Does this work only with the tools listed on the website?
No. The tools shown are examples. Which systems can be connected depends on available APIs, connectors, technical feasibility and access rights.
How do we measure the success of an AI Agent?
We define in advance which outcome the agent should improve: for example, less manual work, faster processing, better follow-up, fewer errors or more time for higher-value work. The relevant KPIs vary by use case and are set beforehand where possible.
Is this suitable for smaller SMEs too?
Yes. An organisation does not need a large IT team to start with a limited AI agent use case. The solution is tailored to its size, processes, risks and maturity.
How does this differ from traditional automation, such as workflows or RPA?
Traditional automation usually follows predefined rules. An AI agent can also interpret information, use context, prepare decisions and combine steps within agreed boundaries. DSC uses both: automation where predictability matters, and AI where context and flexibility add value.
Will AI take over our employees' work?
The aim is not simply to replace people, but to take on routine, time-consuming work so employees have more time for customers, decisions, creative work and other tasks where human expertise adds most value. Your organisation decides which tasks AI performs and where human involvement remains necessary.
Which tasks are suitable for AI Agents?
Start with defined repetitive work, such as e-mail preparation, documents, meetings, reporting or CRM follow-up. Access, feasibility and risk will be assessed first.
Are agents fully independent?
Not unlimited. The organization determines mandates and what actions require human approval. Sensitive actions get an explicit decision-making moment.
Can we start small?
Yes. Choose a defined usecase, test the operation and exceptions, and expand based on demonstrable value.
Should we replace existing software?
Not automatic. DSC investigates appropriate links; APIs, rights, data and scope determine what is feasible.
From insight to action
Book a callWhich repetitive work do you want to deal with first?
Your goals, existing systems and team are the starting point. Together we determine a feasible next step.
Practical insightsPractical solutionsMeasurable impact
