What will you be addressing to the audience Insurance 2025 audience and why? We all know that artificial intelligence is here to stay. For better or for worse, robots and learning machines are going to play an ever-larger part of our everyday lives – both as insurers and as consumers. But how many of us have a clear idea of the real capabilities of AI? Or how fast AI is developing? And how can we make sure that it is helping our policyholders and colleagues?

This story was delivered to BI Intelligence "Fintech Briefing" subscribers. To learn more and subscribe, please click here. The UK branch of major multinational insurer Ageas announced on Thursday that it is adopting AI technology to help with motor claims handling. The AI tool, "AI Approval," has been developed by fintech Tractable, and integrates with the insurer's systems to automate and speed up the claims management process. AI Approval uses algorithms to analyze images of cars that have been involved in accidents and require payouts to cover repair costs, and decides within seconds whether a claim is valid -- such analysis is typically a manual process carried out by the insurer's engineers.

One of the biggest car insurers in the UK has started automating the way it's processing claims with the help of artificial intelligence. Ageas will start using technology which can asses images of vehicle damage, and even flag potential fraudulent claims, to make the process more efficient by performing assessments within seconds. The technology called AI Approval and developed by London tech startup Tractable, will be rolled out across the UK business of the Belgian-based insurer following a small trial at the end of last year. "The results of our initial pilot are impressive and I'm keen to progress to using this technology at scale," said Ageas claims director Rob Smale. Read more: The rise of robots could lead to human quotas and "made by humans" label The AI-powered process has the potential to speed up the claims process, reducing costs and thus saving insurers money, as well as serving customers more quickly.