As AI agents increasingly handle tasks like email drafting or resolving customer service issues, one challenge becomes clear: how can these agents communicate effectively - not only with humans but also with the software systems they depend on?
The rise of AI agents in enterprises unfolds at two levels: enhancing individual productivity through Task Agents and redefining collective workflows via Workflow Agents. While these innovations promise efficiency gains, they also introduce structural challenges. Without a well-orchestrated strategy, organizations risk an uncontrolled proliferation of agents and critical operational dependencies.
As AI agents increasingly take over tasks like email drafting or resolving customer service issues, we face a pivotal challenge: how do these agents communicate effectively, not just with humans but with the software ecosystems they rely on?
Generative AI is profoundly reshaping the way we work, introducing tools that automate a wide range of tasks—from coding and data analysis to content creation. These tools don’t replace human expertise; they redefine it. Experienced professionals—whether engineers, analysts, or creatives—are becoming indispensable, not for execution, but for supervising, refining, and integrating the outputs produced by these technologies.
The journey from simple AI assistants to powerful, cross-system agents reflects a profound shift in how businesses leverage generative AI. In 2023, the rise of embedded GenAI promised seamless integration into daily workflows, enabling users to adopt advanced capabilities without disrupting habits. Yet, high costs per user and limited customization left many questioning the value proposition of these black-box solutions.
Last week, Artefact attended Adweek London 2025, held from April 1–3 at 180 Studios. This premier event brought together over 7,000 attendees—including top brands, agencies, and tech partners—creating an exclusive platform for networking and industry collaboration. We focused our time on the Tech Stage, which meant skipping the Innovation and Creative stages.
Have you just come out of another meeting where the focus was discussing which number was correct, instead of debating the best paths to business success? If you answered "no," consider yourself privileged.
LVMH plays the Chinese card. At a time when trade relations with the United States are becoming increasingly complex, luxury group LVMH is highlighting the existence of digital, cloud, and AI alternatives in China to American technological solutions, which have been widely adopted by businesses and individuals in Europe.
In the recent LVMH × Alibaba Cloud AI Competition, Artefact showcased SAIA, an AI-powered sales assistant designed to seamlessly integrate into retail workflows. Built on a robust multi-layer AI architecture, SAIA enhances sales efficiency and customer engagement in luxury retail.
