MACH Alliance launches AI Exchange to support enterprise composable technology adoption
At “The Composable Conference 2025” held this week, the Machine Alliance introduced a new initiative aimed at supporting enterprise organisations in harnessing artificial intelligence (AI) through a composable technology foundation. The MACH Alliance, a not-for-profit industry body advocating for open, best-in-class technology ecosystems, launched its MACH AI Exchange, a professional peer network developed to guide the practical implementation of AI within complex enterprise environments.
The introduction of the MACH AI Exchange comes in response to the increasing integration of AI technologies across businesses at various stages of their composable journey. A recent MACH Alliance study, shared at the event, highlighted a significant correlation between advanced composability and successful AI adoption. According to the 2025 MACH Alliance Global Annual Research report, 77% of organisations well into their composable journey are actively using AI, compared to just 36% among those newly adopting MACH principles. This data underscores how MACH’s flexible, connected, and open architecture can facilitate effective AI deployments.
The MACH AI Exchange was launched with three founding members renowned for their leadership in technology and AI. These are Karl Hampson, Chief Technology Officer (CTO) for Data and AI at Valtech; Vikas Jain, Director for the US Retail & Consumer Ecosystem Portfolio at Google Cloud; and Xun Wang, CTO at Bloomreach. The alliance aims to build a knowledge-sharing platform that provides enterprises with crucial insights into technical architectures, integration methodologies, and AI implementation best practices. By doing so, it seeks to reduce integration risks and accelerate AI deployment within MACH-based systems.
Vikas Jain commented on the initiative’s objectives to CMS Critic, stating, “AI thrives on structured, real-time data, and enterprise architectures face heightened challenges as AI workloads dynamically scale. The MACH AI Exchange will enable the convergence of composable principles and AI capabilities to help technical leaders establish a competitive advantage through architectural innovation.” His remarks shed light on the need to align composability with AI workloads to manage complexity and scalability effectively.
The initiative is designed as a peer-to-peer community open to a broad range of professionals directly involved in AI adoption within enterprises. This includes engineers, architects, strategists, and innovators dedicated to integrating AI into workflows and developing AI-enabled solutions. Founding member Xun Wang elaborated, “Enterprise stacks weren’t built to handle the constant innovation of the AI era, but that also doesn’t mean we need to start from scratch, either. Just like MACH de-risks change by making technology adaptable, open, and connected, AI adoption requires the same foundation. In the MACH AI Exchange, members will share what works, what breaks, and how to de-risk AI adoption without common AI buzzwords and hype.”
The MACH Alliance’s efforts provide an important resource for enterprises seeking to navigate the complexities inherent in scaling AI technologies. As AI continues to influence organisational roadmaps, having access to a dedicated community and expertise can support evidence-based decision making and practical implementation strategies.
In addition to the launch of the MACH AI Exchange, the Alliance highlighted several upcoming industry events scheduled for 2025. These include the next “Composable Conference” in Chicago (April 22-24), the European CMS Summit in Frankfurt, Germany (May 13-14), and the CMS Connect conference in Montreal, Canada (August 5-6). Each event promises further opportunities for association executives, business leaders, and technology professionals to explore composable architectures, automation, and AI advancements within the content management and digital experience domains.
These initiatives collectively illustrate how organisations within the technology ecosystem are fostering collaboration and shared learning to support members in advancing their digital transformation agendas. The MACH AI Exchange, in particular, stands out as a platform tailored to the nuances of AI deployment in enterprise contexts — an area of growing importance across industries worldwide.