AI agents for your business
An AI agent handles recurring tasks, such as reading enquiries and drafting replies. Your team checks and decides. We develop the agents and set them up for you.

What an AI agent takes on
AI agents automate office tasks that come up often and always run in a similar way. Of the companies in Germany with at least 20 employees, 11 percent already use AI agents and another 29 percent plan to (Bitkom, September 2026).
Sorting enquiries
The agent reads new emails, recognises the request and writes a draft reply.
Scheduling appointments
It checks the calendar, suggests free slots and prepares confirmations.
Compiling documents
For a new quote, it finds the right data sheets, prices and earlier quotes.
Checking invoices
It compares invoices with the order and delivery note and shows where something does not match.
How an AI agent works for you
Using a customer enquiry as an example, in three steps.
A request comes in
For example, an email in the inbox.
The agent prepares
It finds the right documents and writes a draft reply.
Your team approves
The reply only goes out after your click.
Together with you, we decide beforehand what the agent may see and do.
Three ways to bring in an AI agent
Which way fits depends on the software you use today. We clarify this in the first conversation.
In software you already have
Many office programs, such as Microsoft 365, can already work with agents today. We set them up for your task.
Connected to your systems
We connect the agent to your customer list, inventory system or specialist software. It only sees what it needs for its task.
As its own application
For tasks that come up very often: Its own application with a view in which your team checks and approves.
What it looks like for your team
Example from the inside sales team of a wholesaler with 300 employees.
- The agent reads every new request in the sales inbox
- It takes prices and delivery dates from the inventory system
- It passes complaints straight to the colleague in charge
- Your team checks the drafts and approves them
Your first AI agent
Four steps from the first conversation to an agent your team works with every day.
AI potential analysis
We spend a day with you, look at your processes and find the task where an agent helps most.
Setting the rules
What should the agent do, what may it access, when does it hand over to your team? We put this on one page.
Developing and setting up
We connect the agent to your software and design the view in which your team checks and approves.
Supporting and improving
In the first weeks we look at the results together and improve the agent step by step.
Why lindenbrook
What you get when we develop your AI agent.

Strategy, design and development combined
From the first conversation to the finished agent: We find the right task, design the view and develop the agent.
Design as the foundation
Design and code go hand in hand with us. Your team sees at a glance what the agent has done.
We train your team
In workshops, your team learns to work with the agent and check its results.
Data protection settled
We choose providers with a data processing agreement and settle data protection before the agent starts.
Support after launch
With AI Support & Evolution we keep an eye on the agent and adapt it when your processes change.

On site across Germany and online
We come to you for the potential analysis and workshops. Meetings also take place online.
AI agents for your industry
Examples of where agents take work off firms, practices and companies.

Tax advisory firms
Requesting missing documents from clients and sorting enquiries

Law firms
Assigning incoming mail to the right file and drafting standard replies

Medical practices and care centres
Sorting appointment requests, prescription requests and referrals in the inbox

Wholesale and industry
Answering price and delivery enquiries and preparing orders
Frequently asked questions
What are AI agents?
An AI agent is a program that completes a task in several steps on its own. It uses the same software your team works with, such as the email inbox, calendar or customer list. If it gets stuck, it hands over to a person.
Is ChatGPT an AI agent?
In the chat, ChatGPT answers questions. You have to use the text yourself, so that is not yet an agent. ChatGPT, Copilot and other programs now also have agent features that carry out steps in other software themselves.
Which AI agents make sense?
Agents for processes that come up often, always run in a similar way and follow clear rules, such as sorting enquiries or checking invoices. Less suitable are tasks where every case is different, and decisions about people.
How does an AI agent differ from classic automation?
Classic process automation follows fixed rules and needs data in a fixed format. An AI agent also understands freely written emails and documents, recognises the request and chooses the right next step.
Are AI agents worth it for small and mid-sized companies?
Yes. What matters is not the size of the company but whether a task comes up often and always runs in a similar way. The AI potential analysis shows which tasks these are for you.
Are there AI agents for tax firms?
Yes. In tax firms, agents request missing documents from clients and sort enquiries, for example. Your team checks and approves before anything goes to clients.
Can you develop AI agents for us?
Yes. We develop AI agents for businesses: We set the rules with you, connect the agent to your software, design the view for your team and support it in use.
What does an AI agent cost?
That depends on the process and on which software the agent uses. In the free AI conversation we estimate the effort for your process.
How do we get started?
With the free AI conversation: In 30 minutes we clarify which process suits your first agent. If you would like to compare several processes, the AI potential analysis is the right place to start.
