Intelligent decision automation allows companies to automate their operational decisions by using artificial intelligence. Machine learning technology is able to unlock data knowledge through pattern recognition and transform it into executable models. ACTICO offers an easy and effective approach to apply machine learning and realize self-learning decisions.
Apply machine learning technology to unlock data-driven knowledge and realize valuable insights.
Combine business rules and artificial intelligence (AI) to automate operational decision-making processes.
Leverage real-time decisions across all processes and channels to drive digital business transformation.
The combination of artificial intelligence and business automation is driving digital transformation in the financial services industry. With its knowledge-intensive business models, banks and insurance companies benefit in a large variety of application scenarios.
The automation and monitoring of financial transactions opens up large potentials to improve fraud prevention. Applying machine learning to payment data helps reduce the number of false positives. New fraud patterns can be recognized and applied automatically through self-learning models.
Machine learning can significantly improve and automate market abuse and insider dealing detection. It is able to recognize complex patterns of abusive conduct across large trading portfolios and include all kinds of information for a more accurate market abuse surveillance.
Artificial intelligence is able to identify highly complex relationships in data to detect money laundering in financial transactions. It helps minimize the amount of false positives, prioritize suspicious transactions and reduce the efforts for processing and clarifying each case.
Early warning systems allow companies to detect risks and opportunities early on and take the right actions. Using machine learning, companies can uncover new data correlations and thereby predict developments very precisely. Artificial intelligence thus enables them for example to reduce credit defaults and counteract customer churn.
Insurance companies can leverage existing data to improve and automate underwriting risk decisions. They apply machine learning to create more accurate risk models. By combining artificial intelligence and decision automation, insurers can reduce underwriting costs and drive the digital transformation of their core business operations.
To retain customers and increase the customer lifetime value, companies need to stay relevant to their customers and anticipate their needs. With personalized product recommendations and customer care, artificial intelligence enables smart services in real-time that meet customer demands at every digital touch point.
Intelligent decision automation combines business rules and machine learning to automate operational decisions in a transparent way.
Expert knowledge is implemented by business experts using business rules. The rules-based approach allows companies to specify internal policies, regulatory requirements and business needs that influence business decision-making.
Driving business decision automation depends on the ability to capture both expert knowledge and data knowledge. ACTICO allows companies to individually combine both approaches to make better decisions, improve transparency and drive digital transformation through automation.
Data knowledge is learned automatically out of data using machine learning algorithms. This approach of applying artificial intelligence results in adaptive decision models that learn continuously without requiring human interaction.
ACTICO Machine Learning is an integrated software platform for intelligent decision automation. It offers a well-aligned toolset for modeling, managing and automating operational decisions and apply machine learning technology.