In an increasingly digital world, artificial intelligence (AI) continues to redefine the way businesses operate. The Raise Paris 2025 Summit illustrated this transformation with the session \u00ab\u00a0Code, Copy, Conquer: How AI Agents Redefine Enterprise,\u00a0\u00bb bringing together industry leaders to explore the real-world applications of AI agents within organizations. While some companies are at the forefront of this revolution, others are in the midst of strategic thinking about how to integrate these automation tools while ensuring human cooperation. What are the implications for the future of work?<\/p>\n\n
The implementation of artificial intelligence agents in the business world raises crucial questions about their effectiveness and their integration into business processes. During the Raise Summit session, experts such as Adrian McDermott of Zendesk and Sara Maldon of Make discussed the fundamental distinctions between automated assistants, process automation (RPA), and true AI agents. The latter are defined by their ability to perform tasks autonomously thanks to a cognitive component, contextual memory, and tools to act without intermediate instructions.<\/p>\n\n
To illustrate these distinctions: <\/p>\n\n
However, the path to full autonomy is fraught with challenges. According to McDermott, \u00ab\u00a0the path to full autonomy is a gradual escalation of risk.\u00a0\u00bb This raises organizational challenges, particularly regarding systems integration and human interaction management. The use of AI agents results in an exponentially increasing volume of customer interactions, requiring careful attention to developing infrastructures capable of managing this complexity.<\/p>\n\n
Significant progress has been seen in concrete cases within companies. For example, SAP’s Jan Bungert highlighted the experience of a large German industrial group, where an AI agent helped replace more than 300 manual workflows. This type of success demonstrates the potential of AI agents to optimize processes, but there are still barriers to scale. Obstacles to Industrialization<\/p>\n\n Organizational Transformation: Rethinking Work with AI Agents<\/p>\n\n This approach involves profound changes within operational teams, human resources, and senior management. Companies must ensure that the integration of these agents doesn’t create resistance, but fosters a collaborative dynamic. Concerns about job losses are often raised, but experts are moving toward a more nuanced view of work redesign.<\/p>\n\n Distribute roles and responsibilities<\/p>\n\n Reduced operational costs.<\/p>\n\n Adrian McDermott puts this defining moment in the digital evolution of businesses into perspective by asserting that we are entering a new era. After fifteen years of cloud transformation, companies must now embrace AI-driven transformation. This future is not limited to technological innovations, but also requires new managerial approaches and the creation of new roles. New Jobs Driven by AI<\/p>\n\n Areas of impact of AI agents:<\/p>\n\n Customer support. <\/p>\n\n Conditions for Successful AI Agent Integration<\/p>\n\n Unified Cloud and Data Infrastructure<\/p>\n\n <\/strong> <\/strong> <\/strong> <\/strong> <\/p>\n\n\n","protected":false},"excerpt":{"rendered":" In an increasingly digital world, artificial intelligence (AI) continues to redefine the way businesses operate. The Raise Paris 2025 Summit illustrated this transformation with the session \u00ab\u00a0Code, Copy, Conquer: How AI Agents Redefine Enterprise,\u00a0\u00bb bringing together industry leaders to explore the real-world applications of AI agents within organizations. While some companies are at the forefront […]<\/p>\n","protected":false},"author":1,"featured_media":47628,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41],"tags":[149,81997,339],"class_list":["post-47638","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe-en","tag-artificial-intelligence-en","tag-business-operations-en","tag-technological-innovation-en"],"_links":{"self":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/47638","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/comments?post=47638"}],"version-history":[{"count":1,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/47638\/revisions"}],"predecessor-version":[{"id":47639,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/47638\/revisions\/47639"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/media\/47628"}],"wp:attachment":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/media?parent=47638"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/categories?post=47638"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/tags?post=47638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n\n
\n \nSolutions Considered<\/th>\n System Fragmentation<\/th>\n<\/tr>\n<\/thead>\n \n Develop a Unified Infrastructure<\/td>\n Data Heterogeneity<\/td>\n<\/tr>\n \n Data Standardization and Cleansing<\/td>\n Lack of Process Documentation<\/td>\n<\/tr>\n \n Implementation of Best Documentation Practices<\/td>\n Traditional Work Environment<\/td>\n<\/tr>\n \n Employee Training and Awareness<\/td>\n The numbers speak for themselves: according to S&P Global, by 2024, 42% of enterprise AI projects will have been halted due to these challenges. To move forward with this dynamic, companies must combine technological innovation with adapting human resources.<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n The introduction of artificial intelligence agents marks a true reinvention of work methods. Salesforce’s Betty Junod emphasizes that the issue isn’t just a matter of technology, but a cultural and operational transformation. \u00ab\u00a0Introducing an AI agent isn’t just about automating a process: it’s about rethinking how work is done,\u00a0\u00bb she says.<\/h2>\n\n
In customer service, for example, AI agents can handle simple requests, while human advisors focus on more complex cases. This type of collaboration ensures increased customer satisfaction without compromising service quality. Benefits of using AI agents:<\/h3>\n\n
The need to invent new roles\u2014AI agent architects, automation supervisors\u2014is becoming increasingly important as companies redefine their internal structures. This shift is creating multidisciplinary teams capable of interacting with different technologies and creating synergies.<\/h2>\n\n
Software development.<\/h3>\n\n
Recommended Actions<\/h2>\n\n
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\n \nInvest in solutions such as Google Cloud, Oracle, or Microsoft.<\/th>\n Use-Case-Oriented Approach<\/th>\n<\/tr>\n<\/thead>\n \n Start with pilot projects (POCs) to validate the potential of AI agents. Business Involvement<\/td>\n Train and raise employee awareness on the use of AI agents. Continuous Skills Development<\/strong>Develop training programs tailored to new roles. These foundations will enable companies to fully leverage the promise of artificial intelligence agents. By combining technological and human strengths, the future of work is emerging as a context where innovation rhymes with collaboration. Market leaders such as SAP, Salesforce, C3.ai, and DataRobot are leading the way in building sustainable operating models based on intelligent alliances between humans and machines.<\/strong> <\/strong><\/td>\n<\/tr>\n \n <\/td>\n <\/td>\n<\/tr>\n \n <\/td>\n <\/td>\n<\/tr>\n \n <\/td>\n <\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n