Invoice and document processing
Extracting data from incoming documents and processing it into the system automatically.
Automation
Automation Systems
We turn repetitive work into smart workflows for greater efficiency and speed.
In brief
- We map the process and select the steps best suited to automation in terms of gain and risk.
- Workflow, RPA and IoT solutions come together in one strategy.
- A monitoring dashboard makes it visible that the automation works and pays off.
Time-consuming, error-prone and repetitive tasks are the best candidates for automation. We first map the process, decide which steps to automate in terms of gain and risk, then put the workflows into operation.
We can handle software robots (RPA), system-to-system integration and sensor/device-based IoT solutions together.
In detail
Automation Systems: how do we do it?
Which processes are suited to automation?
Rule-based, high-volume, repetitive processes that run on digital data are good candidates: invoice and document processing, order entry, stock notifications, report preparation, approval flows. If a decision requires judgment or the data is unstructured, AI-supported solutions are evaluated first.
We map the process and measure the duration, error rate and cost of each step. This puts a number on the expected gain from automation and sets the order of priority.
Workflow, RPA and integration
Workflow automation systematizes task assignment, approval, notification and tracking steps. RPA (software robots) works through the user interface like a person in legacy programs without an API, performing repetitive tasks. The API and integration layer connects systems directly.
The most robust solution is often a combination: APIs where possible, RPA where not, and a workflow engine managing the whole process.
IoT and sensor-based automation
We build systems that collect and monitor data from sensors on production lines, in warehouses and facilities, and raise alerts when thresholds are exceeded. Data is visualized on a dashboard and, if desired, linked automatically to maintenance and quality processes.
Device selection, connection protocol and security are planned at the start of the project, so there are no surprises during on-site installation.
Scope
What do we offer?
01
Workflow automation
Approval, notification and task flows.
02
RPA
Robotizing repetitive tasks performed through user interfaces.
03
IoT
Sensor data collection, monitoring and alert systems.
04
Integration
Automatic data flow between systems.
05
Reporting
Automatic reports and notifications.
06
Monitoring
Dashboards showing the status of running processes.
Problem → solution
Which problems do we solve?
Problem
My team spends most of its time on repetitive tasks.
Our solution
We automate these tasks with workflows and RPA and free the team for value-adding work.
Problem
The process has delays and forgotten steps.
Our solution
We safeguard the process with automatic reminders, approvals and escalation rules.
Problem
We can't see machine status in real time.
Our solution
We collect IoT sensor data and make it visible with a monitoring dashboard and alerts.
Process
How does the process work?
- 01
Process mapping
Measuring the current flow, duration and errors.
Deliverable: Process map and gain analysis - 02
Automation design
Target flow and technology selection.
Deliverable: Solution design - 03
Development
Developing flows, robots and integrations.
Deliverable: Tested automation - 04
Pilot
Live trial with limited scope.
Deliverable: Pilot results - 05
Rollout and monitoring
Rollout and monitoring dashboard.
Deliverable: Live automation and dashboard
Use cases
How is it used in real life?
Order–stock–shipping flow
Automatic stock check, shipment request and notifications when an order is received.
Production monitoring
Collecting machine data and monitoring downtime and efficiency indicators.
Things to watch out for
Common mistakes and the right way
Common mistake
Automating the process without simplifying it
The right way
The right way: simplify first, then automate.
Common mistake
Neglecting monitoring
The right way
The right way: monitor the health of robots and flows.
Common mistake
Trying to solve everything with RPA
The right way
The right way: prefer API integration whenever possible.
Portfolio
Our projects related to this service
Automation SystemsFinance and accounting · 2025
Automation SystemsRPA and OCR Automation for Invoice and Document Processing
Automation that reads and validates incoming invoices and posts them to the accounting system largely eliminated manual data entry.
−%70 Manual entry timeView project AI ApplicationsAutomotive supplier · 2026
AI ApplicationsAutomated Quality Control with Computer Vision on the Production Line
A computer vision system installed at the quality control station of a metal parts manufacturer catches surface defects at line speed.
−%38 Defective parts reaching shipmentView project ERP SolutionsMetalworking and manufacturing · 2025Manufacturing ERP System for a Metalworking Company
A manufacturing ERP that brings work order, stock, quality and cost processes into one database and runs with barcode terminals on the shop floor.
−%45 Planning timeView projectFAQ
Frequently asked questions
Which processes can be automated?
Rule-based, repetitive processes that work with digital data are good candidates. We evaluate your process together and identify the suitable ones.
Does automation replace employees?
The goal is to free the team from tedious, repetitive tasks and redirect it to value-adding work.
Do you also supply IoT devices?
Depending on the project, we support device selection and software integration.
What is the payback period for automation?
It depends on the process volume and current cost. During mapping, we calculate the expected gain and estimated payback period together.
Do RPA robots break when the system changes?
Interface changes can affect RPA, so we set up a monitoring and maintenance plan and recommend API-based solutions whenever possible.
How is data security ensured?
Authorization, logging and secure storage of confidential information are our standard design principles.
What's the difference between process automation and RPA?
Process automation redesigns workflows from start to finish with software. RPA, on the other hand, consists of software robots that imitate human actions on existing screens, such as clicking and data entry. RPA offers a quick solution for legacy systems without an API; in the long run, integration is more robust.
Which processes should automation start with?
Frequently repeated, rule-based, error-prone and time-consuming processes are the best candidates: invoice entry, report preparation, approval flows, stock alerts and so on. Showing gains in a small process first and then rolling out reduces risk and resistance.
Can sensor and PLC data be collected from industrial systems?
Yes. We can collect machine and sensor data via standard protocols and feed it into monitoring dashboards and reports. We recommend starting with a read-only connection that doesn't disturb your production line's existing infrastructure.
What happens if the automation makes a mistake?
All automations are designed with error handling, notifications and manual intervention points. Critical steps require human approval; when an error occurs, the process waits in a safe state and the responsible person is notified.
How long does it take for an automation project to pay for itself?
The timeframe depends on the volume and cost of the work being automated. Before the project, we estimate the gain based on current process time and error cost, then measure and report the results after go-live.
Can notification and approval flows be set up?
Yes. We can set up multi-step approval flows via email, mobile notifications and the dashboard. Who approved what and when is recorded, ensuring auditability.
Can you combine AI with automation?
Yes. We can embed AI in automation flows for steps such as document reading, classification and anomaly detection. That way even tasks that can't be solved by rules alone and require interpretation can be automated.
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