Artificial Intelligence

Increasing efficiency through
robotic process automation

The use of artificial intelligence (AI) and robotic process automation (RPA) is boosting digital productivity. They enable radical increases in efficiency and the reduction of complex decision processes.​

Artificial intelligence for digital productivity primarily involves learning systems, also known as "machine learning" or "deep learning". The system learns with each use case and can standardize what has been learned after the learning phase has ended. This means that patterns and regularities are recognized in a process through various learning phases. These systems are called cognitive robots.

The objective is not only to increase throughput, but also to increase reliability, comparability, risk assessment, and reduce the error rate.

Stochastic decision variables, i.e. influencing variables that are subject to a probability of occurrence, can massively influence the complexity of decision processes. Here, too, the use of artificial intelligence helps to reduce complexity.

Artificial intelligence for digital productivity primarily involves learning systems, also known as "machine learning" or "deep learning". The system learns with each use case and can standardize what has been learned after the learning phase has ended. This means that patterns and regularities are recognized in a process through various learning phases. These systems are called cognitive robots.

The objective is not only to increase throughput, but also to increase reliability, comparability, risk assessment, and reduce the error rate.

Stochastic decision variables, i.e. influencing variables that are subject to a probability of occurrence, can massively influence the complexity of decision processes. Here, too, the use of artificial intelligence helps to reduce complexity.

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WHERE ARE ROBOTS USED?

It always depends on the individual issue of our clients which processes are suitable for automation. Basically all processes are suitable, especially if they are recurring and have a medium to high transaction volume.

Our clients use AI in the following application areas:

Verification and processing of heterogeneous documents with naturally linguistic information content (damage assessment, audit, service contracts, etc.)

Planning / disposition of machine or logistics orders with deterministic and stochastic influencing variables (automatic order disposition, demand forecast, etc.)

Prediction of machine breakdowns (predictive maintenance) using learning systems

Dynamic price models depending on the purchasing behavior and price sensitivity of the customers

Optimization of the forecast quality of risk models in the financial services sector

WHAT IS THE PROCEDURE?

The starting point is usually an orientation workshop to analyze and identify suitable business processes. Here the possible business model, the data product or the data service is identified.

Depending on the use case, a data analysis is carried out, a pilot is set up and finally the implementation is realized as the basis for automation.

the tean® develops robots and accompanies companies in their new world of digital business.

WHAT MUST BE CONSIDERED?

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A successfully set up process automation is only successful, if its interfaces are successfully merged with those of humans.

In the future it will also be people who manage the interfaces of the systems and maneuver them in complex, dynamic and unpredictable environments.

We at the tean® call this aspect "Organizational Transformation". It is about integrating automation into the overall organization, shaping the interaction between man and machine, conveying experiences and ultimately anchoring the digitalization culture in the company.

In the future it will also be people who manage the interfaces of the systems and maneuver them in complex, dynamic and unpredictable environments.

We at the tean® call this aspect "Organizational Transformation". It is about integrating automation into the overall organization, shaping the interaction between man and machine, conveying experiences and ultimately anchoring the digitalization culture in the company.

OUR ROBOTS HAVE NAMES:
EXAMPLE JACK THE CHECKER

Jack the Checker handles claims for insurance companies

MISSION
We help companies to reduce complexity and
make better decisions based on their data! This results in new data services,
data products and digital business.