AI agents and process automation
Automation for cases that don't fit a rulebook
Some processes resist automation because no two cases look alike: a claim arrives with a document missing, an invoice doesn't match its order. An agent can take on the routine part of that work and hand a case to a person whenever a decision matters or it isn't sure. You see what each handled case costs, and how often the agent got it right.
Good fits, and poor ones
Where agents help
Cases that pass through several systems, involve documents and need some judgement. For example, the intake of claims and service requests, checks of invoices against orders and contracts, onboarding and KYC reviews, and the sorting of customer and IT requests.
Where they don't
Work that is the same every time, which a rule or a script does better. Decisions that the law or your own policy reserve for people. Processes where the agent can't reach the data or systems it would need.
If a plain workflow would do the job, we recommend that instead.
How much the agent decides
Assists
The agent
Reads, extracts and drafts
A person
Decides every case
Acts with sign-off
The agent
Completes routine steps within set limits
A person
Signs off on set actions, such as payments, and on anything the agent flags
Acts within a scope
The agent
Handles defined cases from start to finish
A person
Checks samples and every case the agent passes on
Every agent starts at the first level, and we review its results with you before widening its scope.
What a project delivers
- A map of the process showing, step by step, whether code, a model or a person does the work
- Agents that can use only the tools they need, with sign-off steps, logs and an audit trail
- A test set of your past cases with known outcomes, run again before every change
- Routing that sends routine steps to open-weight models in your environment where quality allows
- Connections to the systems you already use, through their APIs or MCP
What each case costs
We report one figure per handled case, in euros, that includes the models, the platform, review time and any rework. Next to it you see how many cases ran without a person, how often the agent passed a case on, how often it was wrong and how long cases took.
The figures in every report
Measured on your own past cases before the agent goes live, and again after every change.
Rules and approvals
Agents that touch personal data or employees' work raise questions for your data protection officer, your compliance team and often your works council. We prepare what they need to decide: what the agent does, which data it sees, where a person decides and how each decision can be traced. The legal assessment stays with your counsel.
How a first project runs
01
We map one process with you, build a test set from past cases and measure what a case costs today.
02
We build the agent with your team, starting at the lowest level of autonomy that pays off.
03
We hand over the code, test set, runbooks and monitoring, and review the results with you at agreed intervals.
Common questions
Which platforms do you build on?
Frameworks such as LangGraph, the OpenAI Agents SDK, the Claude Agent SDK, Google's Agent Development Kit or Mastra, or plain code where that is simpler.
Can the agents and models run on our own servers?
Agents, test sets and open-weight models can, on your own hardware. Commercial models are used only through data flows you have agreed to.
What happens when the process changes?
The test set changes with it, and every change to the agent is checked against it before it goes live.
Will you automate a whole department?
No. We automate one process at a time and measure it before the next one starts.
How long does a first project take?
That depends on the process and on access to your systems. We give you an estimate once we have seen both.
Related pages
AI engineering and architecture
Assistants, voice interfaces and agents in the products you sell, with the serving and retrieval underneath.
Custom model training
A small open-weight model trained for one task and compared with your current model on cost and accuracy.
How we work
How a project is scoped, how our engineers join your team and what stays with you at the end.
Talk to an engineer
Bring one piece of work you would like to improve. The call takes 30 minutes and needs no access to your systems or your data.
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