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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.

A woman sits relaxed at her desk in a bright office

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.

1

A request comes in

For example, an email in the inbox.

2

The agent prepares

It finds the right documents and writes a draft reply.

3

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.

01

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.

02

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.

03

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
Free AI conversation
Sales inbox2 sent, 1 passed on
NewDelivery date
When will order 2026-4471 arrive?Just arrivedDelivery date found, reply drafted
Approve
NewPrice enquiry
Quote for 40 office chairsJust arrivedQuote drafted with current prices
Approve
NewComplaint
Delivery incompleteJust arrivedPassed on to Ms Brandt
Passed on

Your first AI agent

Four steps from the first conversation to an agent your team works with every day.

01

AI potential analysis

We spend a day with you, look at your processes and find the task where an agent helps most.

02

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.

03

Developing and setting up

We connect the agent to your software and design the view in which your team checks and approves.

04

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.

Illustrative image, AI-generated: Three colleagues talk at a round table with a laptop

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.

A man works relaxed on a laptop by a bright window

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.

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.

Which task should your first agent take on?