Les banques et les compagnies d’assurance déploient des agents d’IA pour lutter contre la fraude et traiter les demandes, et prévoient de créer de nouvelles fonctions pour superviser l’IA

Group 1 - Financial institutions are actively transferring significant customer processes to AI agents, transforming customer interactions with banks and insurance companies [1][4] - Key processes where banks deploy AI agents include customer service (75%), fraud detection (64%), loan processing (61%), and customer onboarding (59%) [1] - Insurance companies also follow a similar trend, with customer service (70%), underwriting (68%), claims processing (65%), and customer integration (59%) being the primary areas of deployment [1] Group 2 - AI agents could generate up to $450 billion in economic value by 2028, indicating substantial opportunities for the financial services sector [2] - 33% of banks are developing their own AI agents internally, while 48% are creating new roles to supervise these agents [2][5] - Only 10% of companies have deployed AI agents at scale, despite 80% being in the design or pilot stages [4][5] Group 3 - Nearly two-thirds (61%) of executives consider cloud orchestration essential to their AI strategy, transforming cloud platforms into innovation engines [3] - The combination of AI and cloud technology allows banks and insurance companies to provide more accurate, faster, and efficient services [4] - Executives see AI agents as capable of real-time decision-making (96%), improved accuracy (91%), and shorter processing times (89%) [6] Group 4 - Major challenges in adopting AI include a lack of skills among executives and employees (92%) and regulatory constraints (96%) [7] - High implementation costs hinder a true return on investment for AI, leading 25% of companies to consider a Service-as-a-Software model in the next 12 to 18 months [8] Group 5 - Executives are optimistic about AI agents helping to expand into new geographic areas without massive infrastructure investments (92%) [11] - 79% believe cloud-integrated AI agents will enable dynamic pricing and personalized offers, maximizing revenue and staying ahead of competition [11] - 75% see opportunities for multilingual support tailored to local regulations and cultural standards [11]