Editorial
There’s a common phrase in the tech community: “Don’t build your AI on quicksand.”
In this sinking scenario, technology and business leaders construct AI-powered platforms by overlaying AI solutions and components on top of legacy architecture, which is designed to accommodate new tech and next-gen solutions. Eventually, a monolithic architecture reaches its limits trying to adapt to modern AI solutions and continued innovation will stall.
Agentic AI is accelerating this issue of stability, scalability and ability to innovate. Enterprise organizations are moving toward autonomous systems that utilize APIs to aggregate data, automate workflows and make real-time decisions; but, scaling this innovation on top of antiquated technology platforms is untenable.
This is where agentic AI meets composability. Organizations are now facing the potential of leveraging open, connected and flexible tech architectures that support modular components and allow companies to meet larger business goals by incorporating the latest AI innovations. However, companies need a solid composable strategy in place before implementing agentic AI and embarking on this new frontier.
Advantages of Composability for Agentic AI
The correlation between companies leveraging composable architectures and those that are successfully deploying AI solutions is undeniable. In a 2025 research report from the MACH Alliance, it was observed that companies with a mature MACH architecture are twice as likely to successfully deploy AI (77% vs. 36%).
Agentic AI is deepening this relationship. Investors have put more than $2 billion behind agentic AI startups, and the reasons are clear: agentic AI can help accelerate workflows, save money and reduce administrative tasks so that humans can prioritize larger strategic projects.
Highlighting a case study, McKinsey reported that a financial services company investing in agentic AI could see the potential to increase productivity by more than 60%.
Composable technology architectures can be a dependable and future-proof approach for companies aiming to develop fully interoperable, agent-to-agent ecosystems. More specifically, MACH technology will enable enterprise organizations to unlock agentic AI through its:
- Composable Design: Through the use of interoperable, modular components, AI agents can be integrated, scaled or swapped in, all without wholesale re-platforming.
- Open Infrastructure: A benefit of API-first connectivity, real-time communication can occur between AI agents, systems and end-users, enabling fluid data-rich environments for orchestration.
- Incremental Scale: Continually scaling up in the cloud, AI needs a constant flow of data, and composability provides incremental and autonomous updates that meet AI’s appetite for data.
At its core, MACH technology is also designed to naturally support the evolving interaction patterns that agentic AI creates within a company’s systems. The interplay of modular components enables AI innovations to leverage existing business processes, and the MACH architecture serves as the foundation for autonomous, connected, agent-to-agent interaction.
Related Article: AI Agent vs. Agentic AI: What’s the Difference — And Why It Matters
5 Steps Toward Implementing an AI-Ready Enterprise
It is important to understand that ensuring a composable architecture — designed to power agentic AI — isn’t a one-off, lift-and-shift endeavor. Implementation should be incremental and a few key steps should be defined as part of the strategic approach, including:
- Define the Areas of Need: Before experimenting with or implementing agentic AI solutions, companies need to define the business outcomes for autonomous AI agents and put firm goals in place.
- Map It: Adaptive, AI-ready companies can’t have blind spots within the architecture. It’s imperative for digital teams to map their current technology architecture and identify where composability and modular design can boost the existing framework.
- Get Everyone Involved: A MACH transformation reaches all parts of a company, so after diagnosing where and how agentic AI will fit into a strategy, it’s important to also share with business teams how the tech will up-level their work and gain buy-in.
- Start With Incremental Wins: IT teams can earn trust from business teams by starting with low-risk case studies that demonstrate how agentic AI can succeed. Find a self-contained use case like a new online checkout experience, apply MACH principles, see how it meets the goals and share with teams.
- Find Certified Partners: A well-maintained architecture and modern AI ecosystem don’t happen alone. It’s also helpful to find MACH-certified partners who are experts in composability, API-first design and modularity, and then set standards around the technologies.
Companies want agentic AI to succeed. To ensure success, start small and scale the process over time.
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Composability: Where the Rubber Meets the Road
A MACH framework can be the anchor that companies need to confidently innovate and grow with agentic AI, but the technology isn’t something to leap into. Organizations are at the intersection of composability and agentic AI, but it’s time to be thoughtful and strategic before hitting the gas.
Composable architectures will support AI agents working together inside one trusted eco-system, autonomously making decisions and drastically accelerating how businesses operate. By building a composable game plan alongside an agentic AI strategy, enterprise organizations will develop a stable foundation that evolves with the power of agentic AI.
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