Automate your processes

AI Automation, Intelligent Automation, Robotic Process Automation – the opportunities are endless, but the amount of tools and technologies are confusing. But most importantly: Only if you use the right software and data structure you can effectively automate processes.

We help you with both: Processes and Automation – by connecting the right tools with each other and harmonizing data structures.

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Implementation experience in numerous tools

We use the best apps and tools to automate your processes

The automation of entire business processes is essential in times of a shortage of skilled workers
ist essenziell in Zeiten des Fachkräftemangels

In process automation, autonomous technologies are used to automate manual processes. Recurring routine tasks can be automated cost-effectively and error-free. This allows colleagues and employees to spend time on revenue-generating activities that increase the value of the company and give individuals the feeling that they are spending their own time on important tasks.

That's why process automation makes sense in your company:

  • Cost optimization through leaner processes
  • Less susceptible to errors as no manual input
  • Reduced programming effort through the use of low-code
  • Higher employee satisfaction thanks to greater focus on activities with impact

Use cases for digital process automation

Process automation in the ESG context
im ESG Reporting

By implementing low- or no-code tools, we automate routine ESG reporting tasks. This increases the efficiency and accuracy of data collection and processing by minimizing sources of human error and reducing workload.

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Customer Service Automation

We connect relevant business systems like CRM, Accounting, Analytics and create a centralized reporting service.

This allows to automate data collection and data processing to ensure a fast and precise reporting, reducing manual effort and sources for error.
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With an automated Investor reporting you can focus on growth and operations and your investors get what they need

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Sales & marketing reporting

Generative AI enables sales and marketing to be scaled, personalized and automated.

In the areas of lead sourcing, enrichment, personalization and e-mail automation, there are completely new possibilities for efficiently acquiring new customers.

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FAQ

What does RPA stand for?

Robotic process automation (RPA) is a software technology that facilitates the development, deployment and management of software robots that mimic human actions when interacting with digital systems and software.

What is the difference between RPA and AI

The main difference between AI and RPA is that AI focuses on cognitive tasks that require intelligence, while RPA focuses on the automation of routine manual tasks. AI is often used for complex decision-making and analysis, while RPA is used to automate repetitive, time-consuming tasks.

What does process mining mean?

Process mining applies data science to discover, validate and improve workflows. By combining data mining and process analysis, companies can analyze log data from their information systems to understand the performance of their processes and identify bottlenecks and other areas for improvement.

Data automation

Data automation uses intelligent algorithms and software tools to optimize data-related activities such as extraction, transformation, loading and integration. By automating these processes, companies can reduce the time and effort required to process large volumes of data, improve data quality and gain insights.

Digital process automation

Digital process automation (DPA) is defined as the process of using advanced digital tools such as low-code development solutions to create, automate and optimize business processes.

ETL/ELT processes

Extract, transform and load (ETL) is the process of combining data from different sources into one large, centralized repository, the data warehouse. ETL uses a set of business rules to cleanse and organize raw data and prepare it for storage, data analysis and machine learning (ML).

We're happy to talk about automation with you. Just get in touch.

Andreas Wawer

Chief Technology Officer

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