Artificial Intelligence:
When data starts to think

Artificial intelligence and automation: unbeatable together

Why AI? With a state-of-the-art CRM system, companies can collect and manage customer data. Yet, how can they use the data in a meaningful way? ML algorithms are like data detectives that help search through the mountains of data and make them useful. This is how marketers and sales people benefit from the power of AI: smarter customer support, smarter service for potential customers, a greater degree of efficiency, and unimagined opportunities in terms of the customer experience.

From churn detection to lead scoring

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Sentiment analysis

Smarter support in complaint cases, social media monitoring, etc.

Decision support

The suitable “brain” does the job, whether it comes to churn detection or lead scoring.

Text and image recognition

Improved efficiency and better clarity with automatic image tagging or handwriting recognition on forms.

Fraud Detection

Unusual account transactions or irregularities on salary statements – any abnormal customer behavior is quickly uncovered.


Next Best Actions, the best communication channel, the appropriate point in time to reach out to your customer – AI knows the Where, the Why, and the How.

Relevant correlations

Weather and travel arrangements. Interests and orders. Age and communication channels: “Brains” can detect relevant correlations.

What is artificial intelligence (AI)?

With artificial intelligence (AI), developers try to simulate “intelligent” behavior with computers. The term “machine learning” (ML) refers to a collection of algorithms that make predictions based on experience in the form of data. Neural networks are one type of algorithm that uses biological neural networks as a model.

"Our vision: Customer journeys that optimize themselves, such as with the goal of boosting sales and thereby profits. This story should be able to make independent decisions in the process that lead to success for as many participants as possible."

Christoph BräunlichML-Expert atBSI

More intelligence with BrAIns

At BSI, we approach the topic of artificial intelligence with the necessary dash of pragmatism by always focusing on the user and the benefit to the customer. BSI Studio, our marketing automation platform, offers a powerful machine-learning engine. Besides, our BSI “brains” contain a wealth of artificial intelligence. They train neural networks and help design intelligent customer journeys and processes.

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Our approach

We say “Yes” to AI, but not without EI. It takes emotional intelligence (EI) to truly delight customers. We help companies benefit from artificial intelligence and simultaneously bring the human factor into play. Because what ultimately makes the difference is human intelligence and not artificial intelligence. We believe in that.

Our strengths

  • A modular design for AI: It is easy to incorporate complete “brains” into customer journeys as steps.
  • Taking your use cases into consideration: We address our customers’ use cases and work with their data.
  • Small data sets work as well: Even less than optimal data quality and quantity do not stop us. Besides end-to-end machine learning, we use transfer learning in combination with traditional data science.
  • Using data from BSI Studio: All information from the touchpoints that are linked via Studio can be utilized.

Will AI benefit you, too?

Would you like to find out how companies can benefit from artificial intelligence? We have the answers for you – answers from real people.

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Who benefits?

  • Marketers: AI power with a click of the mouse? It is as simple as it sounds. In BSI Studio, there are various “brains” available to be used as steps in the customer journey design. They handle tasks from lead scoring to churn detection.
  • Marketing technologists: With the graphical Brain Editor, development components of ML steps that would normally have to be programmed can be assembled by drag-and-drop.
  • Data scientists: The inner workings of “brain” blocks can be configured if knowledge is available about neural networks or genetic algorithms