Can an agent make decisions independently?

Within clearly defined limits, yes. In cases of uncertainty or where the implications are significant, the agent escalates the matter to the team rather than making a decision themselves.

How long does it take to set up an agent?

Following a free initial consultation, a specific use case is defined and the agent is tailored to it — the effort involved depends on the complexity of the task.

Will an AI agent replace staff?

No. The agent takes on recurring, clearly defined tasks, thereby freeing up time for tasks that require genuine judgement.

Automation

AI agents

AI agents carry out multi-stage, recurring tasks independently — from planning through to execution — rather than simply automating individual steps. Simple cases are resolved, whilst complex ones are passed on to the team with the full context.

Humanoider Roboter sitzt auf einer Bank und blättert in Unterlagen

The problem

Simple automation reaches its limits as soon as a task requires several steps, decisions or access to different systems. Such tasks often remain manual because they cannot be squeezed into a rigid if-then rule.

The solution

An AI agent plans the necessary steps itself and carries them out independently — based on the connected systems. Simple cases are resolved, whilst complex ones are passed on to the team with the full context.

How AI agents works

From the initial request to the final result — with escalation if necessary.

Order

Multi-stage taskThe agent is assigned a task, such as reviewing and responding to an enquiry.

Planning & Action

Carry out independentlyThe agent plans and carries out the necessary steps, with access to connected systems.

Outcome or escalation

Degree or teamSimple cases are resolved; complex ones are passed on to the team with all the relevant context.

Every action taken by an agent is recorded in a way that allows it to be traced.

Use cases

Taking on multi-stage tasks

Unlike simple automation, an agent plans the necessary steps itself.

Working with existing systems

The agent accesses linked programmes in order to complete a task.

Escalate only if necessary

Simple cases are dealt with independently, whilst complex ones are referred to the team with all the relevant context.

Tailored to individual needs

Each agent is tailored to a specific, recurring use case.

Remain transparent

Every action taken by an agent is logged and can be viewed.

Feature overview

Plans and acts independently

Breaks a task down into the necessary steps and carries them out

Access to connected systems

Works with the software already in use within the organisation

Escalation where necessary

Complex or unclear cases are referred to the team with all the relevant context

Tailored to individual needs

Each agent is designed for a specific, recurring use case

Fully documented

Every action is documented in a way that allows it to be traced

Technology & GDPR

Technology

AI agents run on the same infrastructure as automaisa Hub — the language model, automation engine and connected systems work together, hosted on servers in Germany.

GDPR & data sovereignty

Data processing takes place on servers in Germany. A data processing agreement (DPA) is concluded with each client in accordance with Article 28 of the GDPR. Every action taken by an agent is recorded in a traceable manner.

Frequently asked questions

Simple automation follows fixed if-then rules. An AI agent plans the necessary steps itself and adapts as the situation changes.

A 30-minute conversation, free of charge.

A 30-minute consultation, free of charge. We’ll take a look at your processes and give you our honest opinion on whether automation is worthwhile.

I'd rather write first