Solution · AI agents
AI agents that get work done. Not just answer.
A chat answers questions. An AI agent completes tasks: it reads documents, uses your systems, prepares decisions and hands over to a person at the right point. We build agentic workflows that run in your daily work.
Starting point
From chat window to workflow.
Your contact
- Lukas MunkerHas been developing custom software for midsize companies since 2019, from concept to operation.
Many companies have rolled out ChatGPT or Copilot. Employees use it for writing and research, but the actual processes stay the same. The reason: a chat does not know your systems and cannot trigger anything there.
AI agents close this gap. They get access to exactly the tools they need for a task, such as CRM, ERP or the inbox, and work through several steps on their own. Within fixed limits and with a log.
Capabilities
What our agents can do.
We develop custom AI solutions instead of off-the-shelf chatbots. Every agent has a clear task, clear permissions and a person who owns it.
Understand documents
Intelligent document processing: invoices, contracts, delivery notes and forms are read and the key details captured in a structured way.
Work with your systems
Agents read and write in CRM, ERP, file storage and email, via interfaces and open standards such as MCP.
Multi-step workflows
Check, look up, decide, pass on: the agent plans the steps and carries them out until the task is done.
Human in the loop
For important decisions, a person approves. What the agent suggests and why is traceable at all times.
Answers with sources
The agent draws on your company knowledge and cites the source. With the Company Brain it knows documents, projects and contacts.
Secure in operation
Least-privilege permissions, a log for every step, hosting in the EU or on your premises.
Use cases
Agentic workflows in practice.
Incoming invoices
The agent reads the invoice, matches it against purchase order and goods receipt, pre-codes it and submits it for approval.
KPI: Documents without manual intervention
Prepare proposals
A draft is created in the CRM from the customer inquiry, price lists and similar past proposals.
KPI: Time to proposal
Sort the inbox
Incoming emails are classified, routed to the right team and come with a draft reply.
KPI: Response time
Internal research
The agent searches contracts, projects and minutes and summarizes the result with sources.
KPI: Search time per request
How we work
Four steps to a result.
Measurability
What an agent has to deliver.
An agent is good when it works reliably. That is why we measure not only time saved but also quality: how often is it right, how often does a person have to correct it? You see these values in the impact measurement.
What we measure
- Time saved per case
- Share without manual intervention
- Correction rate
- Lead time
- Usage across the team
Frequently asked questions.
What is the difference between a chatbot and an AI agent?
A chatbot answers questions. An AI agent completes tasks: it uses tools such as CRM or email, plans several steps and triggers actions, within defined limits.
Can an agent make mistakes?
Yes, which is why we build in controls. For important decisions a person approves, every step is logged, and we track the correction rate continuously.
Which AI models do you use?
That depends on the task, data protection and cost. We work with models from major providers as well as open-source models running in the EU or on your premises.
Does this work with the Copilot or ChatGPT we already have?
Yes. Via open standards such as MCP, we make your agents and your company knowledge available in the tools your team already uses.
Who owns the agent?
You do. Code, configuration and documentation belong to you, and you can continue without us at any time.
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