Understands the assignment
The agent knows which result is needed, which rules apply and where autonomy stops.
AI agents
AI agents that perform work inside your business.
An AI agent can read files, combine information, perform checks and prepare actions in systems. This allows AI to do more than write text or answer questions.
AI agents for business become valuable when they are part of a real process. If you want to build an AI agent, we start with the work that agent needs to perform. Mirovina builds the application, connects company data and existing systems and determines where human control is required.
- AI agents for business
- System actions
- Human control
- Logging and permissions
- Far beyond a chatbot
- With permissions and logging
- On your data and systems
Agentic work
An agent receives a goal and then works through the steps.
The point of AI agents is that AI does not only answer, but performs work. An agent uses sources and tools, follows rules, builds context and prepares or performs the next action within agreed boundaries. We build custom AI agents to speed up your business.
Retrieves information
Sources such as CRM, ERP, documents, mailboxes or portals are queried and combined.
Uses tools and systems
The agent prepares changes, tasks, emails, checks or file steps.
Asks for approval where needed
When impact, risk or exceptions are involved, a person remains accountable for the final step.
In practice
A working solution, not an isolated experiment.
Dozens of RSS feeds and websites are combined, deduplicated, filtered, scored and ranked. AI summarises, rewrites and determines relevance, so a specific domain gets to useful news selection faster.
This case is shown anonymously.
Domain news
Own news site from many sources
More relevant news per domain What agents do
From complex assignment to completed work.
A good AI agent combines language understanding, business knowledge, system integrations and clear boundaries. This is particularly useful when many sources, exceptions and next steps come together.
Collect information
The agent retrieves data from documents, CRM, ERP, mailboxes, portals or databases and combines it for the next step in the process.
Reason and check
The agent compares information, flags missing data, calculates options and marks risks.
Prepare actions
The agent prepares emails, files, customer updates, planning actions or system changes, with review where needed. This goes beyond an AI assistant that only helps with one isolated task.
Boundaries
Use an agent where it works. Use regular software where that works better.
Not every step requires AI. A combination of an AI agent, regular software and fixed controls often works best. That is why we design the entire process, not only the AI model.
Clear tasks and limits
An agent receives a concrete assignment, access to the right sources and explicit boundaries for what may and may not happen automatically.
Logging and error handling
You need to see what the agent did, why something got stuck and when a person needs to review.
Part of your process
We connect the agent to where the work happens: sales, finance, operations, customer service, data flows and specialist knowledge work.
How we start
First establish where it pays. Then build in a controlled way.
The introduction and first proposal are free. Analysis, development and maintenance remain separate assignments, so you can decide after each phase.
Free introduction
We discuss which work costs too much time, money or people and prepare an initial proposal at no charge.
Short analysis
In 1-2 weeks we choose the use case, solution direction and first build scope, with business case and risk analysis if needed.
Development in defined blocks
We build in defined time-and-materials blocks. There is a go/no-go after every phase or main objective.
Adoption and handover
We provide documentation, handover and user training where needed. Management and maintenance are agreed separately.
Vendor-neutral
We often combine AI with regular software; sometimes regular software alone is the best solution.
Code remains adaptable
You have the right to modify the delivered code independently or have it modified by another party.
Frequently asked questions
What companies want to know about this.
What is the difference between an AI agent and a chatbot?
A chatbot mainly answers questions. An AI agent can also retrieve information, plan steps, use tools and prepare or perform actions.
Does an AI agent need to make decisions independently?
Not necessarily. It is often better for the agent to prepare the work and for people to decide where risk, customer impact or exceptions are involved.
Where do you start with AI agents?
With a process where a lot of information comes together and where speed, quality or capacity is directly worth money.
When is regular automation better than an AI agent?
For fully predictable rules, regular software is often cheaper and more reliable. An AI agent becomes useful when language, documents, context or exceptions are involved. We then build a combination.
Can AI agents work with ERP, CRM and proprietary data?
Yes. AI agent integration with ERP or CRM is often where the value lies. The agent uses proprietary data and systems, with clear permissions, logging and human-in-the-loop control where needed.
Does Mirovina build AI agents for business in the Netherlands?
Yes. We build AI agents in the Netherlands for organisations that want to automate complex work. This includes the process, integrations, permissions and controls. This way of working is also known as agentic AI.
Further reading
Related topics
AI automation
AI automation for organisations with 20+ employees. Mirovina builds and integrates custom AI solutions that perform complex work.
AI implementation
AI implementation for organisations with 20+ employees. From short analysis to custom software, integration, adoption and maintenance.
Business process automation
Business process automation with AI for lower costs and more capacity. Mirovina builds custom software around your existing systems.
Next step
Which work currently costs too much time, money or people?
In one free introduction, we discuss where automation can help and whether a short analysis makes sense.