Insurers are tasked with providing security
But it is precisely in these turbulent times that we as insurers are needed more than ever. Especially now, when many things that have long been taken for granted are becoming increasingly difficult and uncertain, it is our responsibility to provide security to our customers, employees, partners and stakeholders. As an insurer, we make a significant contribution to social, individual and economic stability. We are central to society.
To master this task, we must be economically strong ourselves and work consistently on our resilience and competitiveness. To do this, we must consistently and continuously digitalise our services and processes along the entire value chain.
Because, even though we are currently living in probably the most volatile times, we are also in a phase of rapid technological progress. With AI, robotics, phonebots, virtual worlds and process mining, we have unprecedented opportunities for process optimisation. We can inspire our customers with simple, innovative and customer-centric solutions. We can relieve employees of routine tasks and free them from peak workloads. And as a company, we benefit not only from greater efficiency and effectiveness – but also from ever new growth opportunities, thanks to digital business models and digital ecosystems.
Digitalisation must pursue clear goals
But there is no easy answer which technologies should be prioritised to handle this. Each company must take a look and determine its individual requirements. What are the biggest operational challenges that need to be solved? What is the short, medium and long-term business strategy? The choice of tool depends on this, as digitalisation for the sake of digitalisation would be the wrong approach! It must have a clear value-creating advantage and a clear goal.
And it is also clear that digitalisation is not an assembly line production process where everything is delivered immediately. It takes time. And not everything will always go as planned. But those companies that are willing to learn, test and consistently embrace technological and iterative optimisation will be able to manage future risks better, faster and more effectively and thus position themselves for resilience.
Artificial intelligence is without question one of the key technologies of the 21st century and offers great opportunities for the insurance industry. Every day, there are hundreds of thousands of contact points with customers where language has to be processed. Insurance companies are therefore predestined for the use of Large Language Models and the tools based on them. However, the insurance industry is also one of the most heavily regulated sectors, which is why the use of the technology must be carefully considered and implemented.
Digitalisation must be considered holistically
Furthermore, a digital transformation is always also a cultural transformation. Employees must be actively taken along on this journey. It is about taking concerns and fears seriously, demystifying technologies and showing what the tools can do and what not. This requires a clear and continuous communication, both with the co-determination committees and with the employees. However, if implemented correctly, it not only turns colleagues into users of the technologies. They become enthusiastic ambassadors for the applications! We were able to experience this ourselves at ERGO when an initial scepticism towards robotics turned into pure joy. Robots were given their own names by the departments and their anniversaries were celebrated.
For me, digitalisation is therefore a key element for the future resilience and profitability of our industry – and our company. After all, those who consistently and continuously integrate digitalisation into their business processes will have clear advantages in the competitive market. This is not only our entrepreneurial duty in times of price increases, climbing loss ratios and ever higher costs, but also our social responsibility.
Please note: This article was first published by Versicherungsmonitor.