AI agents that take on real work.

We build and operate AI agents that handle clearly defined work in your existing processes. They use your systems and remain under your control.¹

Book a call How agents work

30 minutes. We clarify the task, systems and approval boundaries. No preparation required.

Example · Send a quote Approval needed

Request checked Done
Quote prepared Done
Approve dispatch Approval needed

Before anything goes outside, a person decides.
Send quote Waiting

01Agents

An assistant helps. An agent gets it done.

Both understand language and can call tools. Erben Systems production standards distinguish an agent by a defined process, bounded access and named human accountability.

Chat assistant and production agent compared
Feature	Chat assistant	Production agent
Understands language and context	yes	yes
Uses your documents	yes	yes
Calls tools	yes	yes
Starts from an event or schedule		yes
Fixed mandate, not a conversation		yes
Configured, narrow permissions		yes
Approvals at fixed points		yes
Step-by-step log		yes
Evaluation and operations		yes

Chat assistant

Understands language and context

Takes questions and formulates answers.
Uses your documents

Derives answers from your own documents.
Calls tools

A chat assistant can connect to systems today too.

Production agent

Everything on the left, plus:

Starts from an event or schedule

Starts on an event or a schedule.
Fixed mandate, not a conversation

A defined process with a clear end.
Configured, narrow permissions

Access belongs to the mandate, not the person.
Approvals at fixed points

A person decides before every external step.
Step-by-step log

A trace of which tools were called.
Evaluation and operations

Test cases, monitoring and maintenance in production.

Example tasks²

Research and reports Read
Inbox and documents Classify
Knowledge from internal sources Cite
Data reconciliation Check
Customer and case files Prepare
Software workflows Implement
Monitoring and routine Observe

02Services

We build, integrate and operate.

Agent Consulting

We define the task, the systems the agent needs and where a person must decide.

Feasibility · Task · Systems and data · Roadmap

Agent Engineering

We build the agent, connect it to your systems and bring it into your team's daily work.

Architecture · Integrations · Approvals · Launch

Agent Operations

We continuously check whether the agent is still doing the right thing: evaluate runs against test cases, control permissions and handle errors cleanly.

Logs · Evaluations · Permissions · Recovery · Cost

03Process

How to get started.

01
Workshop

We define your first agent's task, its access and the points where you decide.
02
Your first agent

We build an agent with a clear task and integrate it into your workflows.
03
AgentOps

Evaluation, monitoring and maintenance in production.

04Review

Already built an agent?

The prototype works, but it is not ready for production. We assess what is missing.

Permissions and approvals Review
Evaluation against test cases Measure
Logs and traceability Evidence
Errors and recovery Safeguard

Discuss a review

05Technology

Two routes, depending on your environment.

We integrate specialist agents or develop directly in your stack.

Specialist agents

We integrate the right specialists into a system where each agent takes on a clearly bounded task.

Multiple agents when splitting the work improves the result
Self-hosted models when security or compliance requires them
Permissions and roles per agent
A log of steps and tool calls

Custom development

Directly in your stack, when an additional framework is not a fit.

Your language, your libraries
Your existing infrastructure
You own the code and documentation
Your team can take over at any time

06Team

People and agents as one team

We work the way we build for clients: people decide, and agents take on fixed tasks.³

Josef

Founder & Engineer

Josef has worked in engineering for ten years and has spent the last three building agents.

You work directly with him. No account layer and no hand-off to a separate delivery team.

Magdalena

Visuals & Storytelling

Magdalena turns complex subjects into clear visuals and an understandable story.

She shapes the visual expression and brings content and form together.

Ava
Agent · Preparation

Ava supports research, early visual concepts, and project preparation and coordination.
Adam
Agent · Operations

Adam handles infrastructure and DevOps.

07FAQ

Questions before you start.

Which tasks are suitable for an AI agent?

Good candidates are recurring, clearly described tasks with an output a person can review quickly.

How do we start?

In a workshop, we bound the task, inputs, systems, permissions, output and human approval points.

What does the workshop deliver?

You receive a documented task boundary, required access, review points, risks and an actionable next step.

Does an agent have to act autonomously?

No. Autonomy follows the task and its risk. External actions can be tied to explicit human approvals.

How does an agent connect to our existing systems?

We use limited access to only the tools and data required for the specific task.

Who is accountable?

For every deployment, we jointly name an accountable person who reviews outputs and decides on approvals and changes.

What does production-ready mean?

At Erben Systems, production-ready means defined test cases, limited permissions, traceable runs, error handling, approvals and clear operating ownership. It is not a guarantee of error-free output.

What happens after launch?

AgentOps covers run evaluation, controls, error analysis, maintenance and agreed changes.

Can you review an agent we already built?

Yes. An Agent Review examines task scope, permissions, test cases, logs, approvals, errors and recovery, then provides a prioritised assessment.

08Contact

What task should your first agent take on?

Have an idea? We assess whether an agent is a good fit. No idea yet? We start with the tasks that consume the most time today.

Book a call josef@erben.systems