adesso Blog

The degree of digitalisation in facultative business is still significantly lower than in other areas of the company, even among the largest reinsurers. The reason lies in the nature of the business: it works with few, highly individualised contracts - but business processes that work with a high degree of standardisation and large volumes are best digitised. With the latest advances in the field of artificial intelligence (AI), the tide is turning: new solutions can be a game changer to increase the efficiency and quality of facultative underwriting and make data available for other applications.

There has been a lot of talk about process automation. We asked expert Hansjörg Süess to address some of the relevant but less frequently asked questions.

Firms today are faced with various challenges as a result of globalization. Disruptive and digital business models are putting long-established companies to the test. As a result, IT within organizations is increasingly seen as an integral part of the business model and an important competitive factor.

The shortage of skilled workers has pushed IT managers to look for ways to automate processes. This is so they can reduce their employees’ workloads, while also aiming to increase user satisfaction. An increasingly popular option – especially in the IT and/or enterprise service management environment – is to use chatbots. This blog post will discuss the added value of ServiceNow’s chatbot solution, which is called Virtual Agent.

There are some key success factors that companies should consider in the design and implementation of personalisation projects to guarantee that they are both efficient and highly effective. In this blog post, I reveal five of these factors and show you what really matters.

The field of artificial intelligence (AI) is arguably the biggest technological driver of the future, but projects often fail due to the complexity of their implementation or a lack of experts. In the first part of this series, we tried to answer the question of how low-code platforms can facilitate AI adoption. In this part, we will now take look at intelligent process automation – a combination of different technologies: artificial Intelligence, low code and robotic process automation (RPA). What are the advantages of using this combination? Using a well-known use case with SAP, we will introduce you to the advantages of intelligent process automation to optimise workflows.

SAP S/4HANA testing is not limited to the implementation and go-live phases of a project. Standard functionalities and extensions of the S/4HANA package should also be factored in. But does this also mean more and more effort?