In the last fifteen years, genetic artificial intelligence (general AI or GenAI) has evolved rapidly. From the first steps in natural language translation, to today’s systems that understand contextually and produce human speech, image or code, this technology has redefined the way man interacts with information. Now, doesn’t he just “execut” orders? It learns, predicts, and contributes to decision-making.
How GenAI changes insurance
At the Athens Technology Center (ATC), we see GenAI as a driver of development for the insurance sector in three dimensions: data analysis, content production, and technological Modernization.
In Claims Processing, GenAI can read medical records, identify inconsistencies and speed up the evaluation of a file – procedures that traditionally required days or even weeks. In Property & Casualty Insurance, it can analyze broker submissions and correlate elements with risk-taking criteria, supporting fair pricing and more efficient prevention.
At the same time, GenAI gives a new dimension to communication. In Marketing, it offers the ability to create personalized messages per customer; in compensation, it composes updates based on the history of each case; and in underwriting, it facilitates cooperation between insurers and insurance brokers.
Finally, as many insurance companies proceed to renew their legacy systems, GenAI contributes to their digital transformation, accelerating software development and enhancing their efficiency and flexibility.
A new chapter for the insurance industry
In Property & Casualty, GenAI automates document analysis, speeds up compensation procedures and identifies suspicious patterns that indicate potential fraud. At the same time, it evaluates risks more accurately, offering safer bases for decision-making and resource optimization.
In Life & Pension Insurance (Annuity), it allows the creation of personalized programs based on the financial and health data of each client, provides smart investment proposals and automates the inclusion of new insured persons, reducing time and bureaucracy.
Challenges & Best Practices
As with any technological development, there are challenges here too. Data protection, avoidance of incorrect answers or “hallucinations” and preventing the malicious use of images or documents are critical axes of responsibility.
At ATC, we believe that the success of AI depends not only on the accuracy of the algorithms, but on the governance framework that accompanies it, with continuous monitoring, regular checks and strict transparency procedures.
What the future holds
GenAI is not just a new technology, it’s a new mindset. It brings faster processing, smarter prevention and more meaningful communication with customers. Those companies that strategically invest in it will gain a clear competitive advantage.
This text has been translated automatically from the original Greek. In case of any discrepancy or inaccuracy, the original Greek text prevails. The translation is provided for information purposes only.