The prompt is money

Beyond all the fantasies that it fuels in civil society, Artificial Intelligence (AI) above all responds to an objective in business: to save time, and therefore impove quality and revenue. A few examples to get a better picture.

By Antoine Boitez

AN OPTIMISED SUPPLY CHAIN

AVISIA develops innovative solutions for its customers. “We have developed algorithms for a major luxury leather goods company, to forecast sales of new bags, allocate stocks optimally, and reduce lead time. Where it used to take 21 days to obtain sufficient data on a new product, this has now been reduced to 5 days through the power of AI,” says Pascal Bizzari, partner at the AI consultancy.

TAKE IT EASY

At Roquette, algorithms optimise production parameters. The Hautsde-France-based company has developed RoqueGPT, a self-service platform designed for its employees. This makes it easy to transcribe notes, create document summaries and translate and correct emails.

Allianz France uses AI to improve enrolment in insurance policies. Its “Ask Control” tool enables agents to check the compliance of new enrolments. “We also use generative AI to answer complex questions from agents,” says Florian Lagardère, head of the Big Data AI Factory at Allianz France.

EFFICIENT AS NEVER BEFORE

Beyond the precision aspect, other players are stepping on the technology like an accelerator pedal. Malakoff Humanis uses AI to automate document pre-input and improve the management of customer requests. The use of AI in these areas has doubled managers’ productivity. The order of magnitude is given by Data Product Manager Jean-Baptiste Girardin: “Thanks to AI, we’ve gone from processing 30-40 quotes a day to 70-80.”

THE IMPORTANCE OF TALENTS

To improve their recruitment and energise their internal mobility, other companies are boldly going where most insurance players wouldn’t dare set foot: they are using AI in human resources. For instance, we learned about a platform that can almost instantly pinpoint the mentors and projects best suited to their employees. “Personalised support” that would otherwise be unthinkable in an organisation with several thousand employees.