AI process automation
Automate the process. Keep people where they matter.
We check the process first and pick the simplest approach that works for each step: a rule, a workflow tool or an AI agent. Then we run it in your own environment.
- Process first, model second
- Your cloud or on-premise
- Quality measured in operation
- Invoice received by email
- Data read from the PDF
- Checked against the order
- Exception sent to accounting
- Booked in the ERP
Only exceptions reach a person. Every step is logged.
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The problem
Too much reading, typing and sorting by hand.
Data typed from PDFs
People copy data from documents into the ERP, line by line.
Shared inboxes sorted by hand
Every message is read, sorted and forwarded before anyone works on it.
Rules break on exceptions
Classic automation stops at the first case that does not fit the rule.
Typical processes
Where AI automation pays off.
Documents and invoices
An agent reads the document, extracts and checks the data and hands only exceptions to a person.
Email inbox
An agent classifies each message, drafts the answer and routes the case to the right team.
CRM upkeep
Agents keep contacts and deals current and prepare the next step, for example in Sigma CRM.
Knowledge search
An agent answers from your documents and cites its sources.
Quotes and orders
An agent collects the data from several systems and prepares a draft for approval.
Reports
An agent pulls the numbers and writes a short summary.
Decide
Rule, RPA, workflow tool or AI agent?
| Approach | Not good for | Good for |
|---|---|---|
| Rule or script | Anything that varies | Fixed, structured steps |
| RPA | Changing screens, unstructured input | Old systems without an interface |
| Workflow tool (n8n, Make) | Steps that need judgment | Connecting systems with clear logic |
| AI agent | Simple steps a rule can do cheaper | Documents, language, judgment, exceptions |
What changes
People handle the exceptions. The rest runs.
- Teams stop typing and sorting and spend their time on the cases that need them.
- Each step gets the simplest approach that works, not the most expensive one.
- Your company keeps control: data in your environment, quality measured.
Find out which steps of one process can run on their own.
Have your process checkedOperation and data
Quality you can measure. Data that stays with you.
An automation is only useful when it keeps working. We measure quality on cases your experts checked and keep a person in the loop where it matters.
- Human approval for high-risk steps
- Every step logged and traceable
- Model of your choice, can be replaced later
How we work
From process check to running automation.
- 1
Process check
We map the process with your team and mark each step: rule, workflow or agent.
- 2
Design
Inputs, outputs, approval points and how quality is measured.
- 3
Pilot
One process automated end to end and tested on real cases.
- 4
Operation
Runs in your environment. We monitor quality and cost and extend it step by step.
Frequently asked questions
What is AI automation, in simple terms?
Software that uses AI models to do steps that used to need a person, such as reading a document or answering an email. Fixed steps still run as normal automation.
How is agentic AI different from traditional automation?
Traditional automation follows rules written in advance. An AI agent gets a goal, tools and limits and decides the next step itself. That is why it needs testing, monitoring and human approval.
AI vs automation: what is the difference?
Automation repeats fixed steps. AI handles input that varies, such as language and documents. Most good solutions combine both.
Which processes are suitable?
Processes with many similar cases, clear inputs and outputs and a lot of manual reading, typing or sorting.
What does AI automation cost?
It depends on the process and the systems. After the free process check you get a fixed scope and a fixed price for the first automation.
Where does our data run?
In your cloud tenant or on your own servers. You choose the model and its processing location.
How is quality measured in operation?
Against cases your experts checked, with a defined error rate and regular reviews. Changes to models or prompts are tested before they go live.
Have one process checked.
30 minutes on one process and the simplest way to automate it. Free of charge.
Dr. Marcel Müller · Founder & COO, JadenX